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Baker, Charles E. 1957. "The Angoff Method and Rater Analysis: Enhancing Cutoff Score Reliability and Accuracy." Thesis, University of North Texas, 1993. https://digital.library.unt.edu/ark:/67531/metadc500345/.
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At times called a philosophy and other times called a process, cutting score methodology is an issue routinely encountered by Industrial/Organizational (I/0) psychologists. Published literature on cutting score methodology appears much more frequently in academic settings than it does in personnel settings where the potential for lawsuits typically occurs more often. With the passage of the 1991 Civil Rights Act, it is no longer legal to use within-group scoring. It has now become necessary for personnel psychologists to develop more acceptable selection methods that fall within established guidelines. Designating cutoff scores with the Angoff method appears to suit many requirements of personnel departments. Several procedures have evolved that suggest enhancing the accuracy and reliability of the Angoff method is possible. The current experiment investigated several such procedures, and found that rater accuracy methods significantly enhance cutoff score reliability and accuracy.
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Kim, Ja Young. "Factors affecting accuracy of comparable scores for augmented tests under Common Core State Standards." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/2543.
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Under the Common Core State Standard (CCSS) initiative, states that voluntarily adopt the common core standards work together to develop a common assessment in order to supplement and replace existing state assessments. However, the common assessment may not cover all state standards, so states within the consortium can augment the assessment using locally developed items that align with state-specific standards to ensure that all necessary standards are measured. The purpose of this dissertation was to evaluate the linking accuracy of the augmented tests using the common-item nonequivalent groups design.
Pseudo-test analyses were conducted by splitting a large-scale math assessment in half, creating two parallel common assessments, and by augmenting two sets of state-specific items from a large-scale science assessment. Based upon some modifications of the pseudo-data, a simulated study was also conducted.
For the pseudo-test analyses, three factors were investigated: (1) the difference in ability between the new and old test groups, (2) the differential effect size for the common assessment and state-specific item set, and (3) the number of common items. For the simulation analyses, the latent-trait correlations between the common assessment and state-specific item set as well as the differential latent-trait correlations between the common assessment and state-specific item set were used in addition to the three factors considered for the pseudo-test analyses. For each of the analyses, four equating methods were used: the frequency estimation, chained equipercentile, item response theory (IRT) true score, and IRT observed score methods.
The main findings of this dissertation were as follows: (1) as the group ability difference increased, bias also increased; (2) when the effect sizes differed for the common assessment and state-specific item set, larger bias was observed; (3) increasing the number of common items resulted in less bias, especially for the frequency estimation method when the group ability differed; (4) the frequency estimation method was more sensitive to the group ability difference than the differential effect size, while the IRT equating methods were more sensitive to the differential effect size than the group ability difference; (5) higher latent-trait correlation between the common assessment and state-specific item set was associated with smaller bias, and if the latent-trait correlation exceeded 0.8, the four equating methods provided adequate linking unless the group ability difference was large; (6) differential latent-trait correlations for the old and new tests resulted in larger bias than the same latent-trait correlations for the old and new tests, and (7) when the old and new test groups were equivalent, the frequency estimation method provided the least bias, but IRT true score and observed score equating resulted in smaller bias than the frequency estimation and chained equipercentile methods when group ability differed.
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Escobar, Claudia Patricia Davis Gerard Albert. "Sensitivity analysis of subjective ergonomic assessment tools impact of input information accuracy on output (final scores) generation /." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Spring/master's/ESCOBAR_CLAUDIA_15.pdf.
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Wood, Charles Lloyd. "Effects of random study checks and guided notes study cards on middle school special education students' notetaking accuracy and science vocabulary quiz scores." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1123704588.
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Thesis (Ph. D.)--Ohio State University, 2005.Title from first page of PDF file. Document formatted into pages; contains xv, 229 p.; also includes graphics. Includes bibliographical references (p. 148-157). Available online via OhioLINK's ETD Center
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Heimlich, Shawn G. "Effects of computer assisted guided notes and computer assisted guided notes study cards on completion and accuracy of students' notes and next-day quiz scores." The Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1413360739.
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Itoi, Madoka. "Effects of Guided Notes Study Cards on the Accuracy of Lecture Notes and Next-Day Quiz Scores of Students in a 7th Grade Social Studies Classroom." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1392214767.
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Basson, Hester Magdalena. "The iconicity and learnability of selected picture communication symbols a study on Afrikaans-speaking children /." Diss., Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-10042005-155306.
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Haick, Angela. "Testing irregularities : are we getting accurate scores? /." La Verne, Calif. : University of La Verne, 2003. http://0-wwwlib.umi.com.garfield.ulv.edu/dissertations/fullcit/3076863.
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Polley, Kaylene Barrett. "Accuracy of English Speakers Administering Word Recognition Score Tests in Mandarin." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2224.
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The purpose of this study was to examine the accuracy of English-speakers in determining the word recognition score of native Taiwan Mandarin-speakers. Digitally recorded Mandarin word lists were presented to 10 native Mandarin-speakers from Taiwan (five male, five female), from whom oral and written responses were collected. Oral responses were scored by 30 native English-speakers, 15 of which had no experience with Mandarin and 15 with two to three years of college-level Mandarin courses or equivalent knowledge of Mandarin. The judges who had experience with Mandarin were able to score the WRS tests with 97% accuracy (with scores ranging from 10% below to 4% above the actual score of the test). The judges without experience with Mandarin scored the WRS tests with 88.8% accuracy (with scores ranging from 34% below to 26% above the actual score of the test). An analysis of variance found that there was a significant difference between a judge's knowledge of Mandarin and his or her ability to accurately score the oral responses. An inspection of the performance of the judges in respect to the five different Mandarin tones indicated that there are some tone combinations that are more difficult to score correctly than others. While it is apparent that tone combination may play a role in the ability to accurately score WRS words in Mandarin, the implications of this for a clinical setting are uncertain because words with these tone combinations were not heard often. Tone perception training for the judges or simply making clinicians aware of this difficulty in tone identification may be of benefit in overcoming this obstacle.
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Rohl, James. "Accuracy of predicting genetic merit of A.I. sampled bulls for final score from pedigree information." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-12302008-063439/.
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Olensky, Marlies. "Data accuracy in bibliometric data sources and its impact on citation matching." Doctoral thesis, Humboldt-Universität zu Berlin, Philosophische Fakultät I, 2015. http://dx.doi.org/10.18452/17122.
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Ist die Zitationsanalyse ein geeignetes Instrument zur Forschungsevaluation? Diese Dissertation untersucht, ob die zugrunde liegenden Zitationsdaten ausreichend fehlerfrei sind, um aussagekräftige Ergebnisse der Analysen zu erzielen, beziehungsweise sollte dies nicht der Fall sein, ob der Prozess, der die zitierenden und zitierten Artikel einander zurordnet, ausreichend robust gegenüber Ungenauigkeiten in den Daten ist. Ungenauigkeiten wurden als Unterschiede in den Datenwerten der bibliographischen Angaben definiert. Die untersuchten Daten setzen sich aus gezielt ausgewählten Publikationen des Web of Science (WoS) zusammen, welche eine geschichtete Stichprobe ergeben. Die bibliographischen Daten von 3.929 Referenzen wurden in einer qualitativen Inhaltsanalyse bewertet und die bibliographischen Ungenauigkeiten in einer Taxonomie zusammengefasst. Um genau festzulegen, welche von diesen tatsächlich den Zuordnungsprozess von Zitationen beeinflussen, wurde eine spezifische Untergruppe von Zitationen, d.h. Zitationen die von WoS nicht erfolgreich dem jeweilig zitierten Artikel zugeordnet wurden, untersucht. Die Ergebnisse wurden mit den Daten zweier weiterer bibliographischen Datenbanken, Scopus und Google Scholar, sowie den Daten dreier angewandter bibliometrischer Forschungsgruppen, CWTS, iFQ und Science-Metrix, trianguliert. Die Zuordnungsalgorithmen von CWTS und iFQ konnten rund zwei Drittel dieser Zitierungen erfolgreich zuordnen. Scopus und Google Scholar konnten ebenso über 60% der fehlenden Zitierungen erfolgreich mit dem entsprechenden zitierten Artikel verbinden, während Science-Metrix nur eine geringe Anzahl an Referenzen (5%) schaffte. Vollkommen falsche erste Seitenzahlen sowie Zahlendreher in Publikationsjahren können in allen Datenquellen nicht richtig zugeordnete Zitierungen verursachen. Basierend auf den Ergebnissen wurden Lösungsvorschläge formuliert, die im Stande sind den Zuordnungsprozess von Zitationen in bibliometrischen Datenquellen zu verbessern.Is citation analysis an adequate tool for research evaluation? This doctoral research investigates whether the underlying citation data is sufficiently accurate to provide meaningful results of the analyses and if not, whether the citation matching process can rectify inaccurate citation data. Inaccuracies are defined as discrepancies in the data values of bibliographic references, since they are the essential part in the citation matching process. A stratified, purposeful data sample was selected to examine typical cases of publications in Web of Science (WoS). The bibliographic data of 3,929 references was assessed in a qualitative content analysis to identify prevailing inaccuracies in bibliographic references that can interfere with the citation matching process. The inaccuracies were categorized into a taxonomy. Their frequency was studied to determine any strata-specific patterns. To pinpoint the types of inaccuracies that influence the citation matching process, a specific subset of citations, i.e. citations not successfully matched by WoS, was investigated. The results were triangulated with five other data sources: with data from two bibliographic databases in their role as citation indexes (Scopus and Google Scholar) and with data from three applied bibliometric research groups (CWTS, iFQ and Science-Metrix). The matching algorithms of CWTS and iFQ were able to match around two thirds of these citations correctly. Scopus and Google Scholar also handled more than 60% successfully in their matching. Science-Metrix only matched a small number of references (5%). Completely incorrect starting page numbers and transposed publication years can cause a citation to be missed in all data sources. However, more often it is a combination of more than one kind of inaccuracy in more than one field that leads to a non-match. Based on these results, proposals are formulated that could improve the citation matching processes of the different data sources.
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Eldridge, Jacob Douglas. "A Comparison of Current Anuran Monitoring Methods with Emphasis on the Accuracy of Automatic Vocalization Detection Software." TopSCHOLAR®, 2011. http://digitalcommons.wku.edu/theses/1122.
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Currently, a variety of methods are available to monitor anurans, and little standardization of methods exists. New methods to monitor anurans have become available over the past twenty years, including PVC pipe arrays used for tree frog capture and Automated Digital Recording Systems (ADRS) used to remotely monitor calling activity. In addition to ADRS, machine-learning computer software, automated vocalization recognition software (AVRS), has been developed to automatically detect vocalizations within digital sound recordings. The use of a combination of ADRS and AVRS shows the promise to reduce the number of people, time, and resources needed for an effective call survey program. However, little research exists that uses the described tools for wildlife monitoring, especially for anuran monitoring.
In the study, there were two problems addressed relating to AVRS. The first was the poorly understood relationship between auditory survey methods and physical survey methods. I tested this problem by using current auditory monitoring methods, ADRS and the AVRS Song Scope© (v.3.1), alongside more traditional physical monitoring methods that included drift fences, a PVC pipe array, and visual encounter transects. No significant relationship between physical and auditory community population measures was found. Auditory methods were also effective in the detection of call characteristic differences between urban and rural locations, further suggesting an influence of noise pollution. The second problem addressed was the call identification errors found in auditory survey methods. I examined the influence of treatments including the ADRS location, listener group, species, and season on the error rates of the AVRS Song Scope© (v.3.1) and groups of human listeners. Computer error rates were higher than human listeners, yet less affected by the treatments. Both studies suggested that AVRS was a viable method to monitor anuran populations, but the choice of methods should be dependent upon the species of interest and the objectives of the study.
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Sene, Mbery. "Développement d’outils pronostiques dynamiques dans le cancer de la prostate localisé traité par radiothérapie." Thesis, Bordeaux 2, 2013. http://www.theses.fr/2013BOR22115/document.
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La prédiction d'un événement clinique à l'aide d'outils pronostiques est une question centrale en oncologie. L'émergence des biomarqueurs mesurés au cours du temps permet de proposer des outils incorporant les données répétées de ces biomarqueurs pour mieux guider le clinicien dans la prise en charge des patients. L'objectif de ce travail est de développer et valider des outils pronostiques dynamiques de rechute de cancer de la prostate, chez des patients traités initialement par radiothérapie externe, en prenant en compte les données répétées du PSA, l'antigène spécifique de la prostate, en plus des facteurs pronostiques standard. Ces outils sont dynamiques car ils peuvent être mis à jour à chaque nouvelle mesure disponible du biomarqueur. Ils sont construits à partir de modèles conjoints pour données longitudinales et de temps d'événement. Le principe de la modélisation conjointe est de décrire l'évolution du biomarqueur à travers un modèle linéaire mixte, décrire le risque d'événement à travers un modèle de survie et lier ces deux processus à travers une structure latente. Deux approches existent, les modèles conjoints à effets aléatoires partagés et les modèles conjoints à classes latentes. Dans un premier travail, nous avons tout d'abord comparé, en terme de qualité d'ajustement et de pouvoir prédictif, des modèles conjoints à effets aléatoires partagés différant par leur forme de dépendance entre le PSA et le risque de rechute clinique. Puis nous avons évalué et comparé ces deux approches de modélisation conjointe. Dans un deuxième travail, nous avons proposé un outil pronostique dynamique différentiel permettant d'évaluer le risque de rechute clinique suivant l'initiation ou non d'un second traitement (un traitement hormonal) au cours du suivi. Dans ces travaux, la validation de l'outil pronostique a été basée sur deux mesures de pouvoir prédictif: le score de Brier et l'entropie croisée pronostique. Dans un troisième travail, nous avons enfin décrit la dynamique des PSA après un second traitement de type hormonal chez des patients traités initialement par une radiothérapie seuleThe prediction of a clinical event with prognostic tools is a central issue in oncology. The emergence of biomarkers measured over time can provide tools incorporating repeated data of these biomarkers to better guide the clinician in the management of patients. The objective of this work is to develop and validate dynamic prognostic tools of recurrence of prostate cancer in patients initially treated by external beam radiation therapy, taking into account the repeated data of PSA, the Prostate-Specific Antigen, in addition to standard prognostic factors. These tools are dynamic because they can be updated at each available new measurement of the biomarker. They are built from joint models for longitudinal and time-to-event data. The principle of joint modelling is to describe the evolution of the biomarker through a linear mixed model, describe the risk of event through a survival model and link these two processes through a latent structure. Two approaches exist, shared random-effect models and joint latent class models. In a first study, we first compared in terms of goodness-of-fit and predictive accuracy shared random-effect models differing in the form of dependency between the PSA and the risk of clinical recurrence. Then we have evaluated and compared these two approaches of joint modelling. In a second study, we proposed a differential dynamic prognostic tool to evaluate the risk of clinical recurrence according to the initiation or not of a second treatment (an hormonal treatment) during the follow-up. In these works, validation of the prognostic tool was based on two measures of predictive accuracy: the Brier score and the prognostic cross-entropy. In a third study, we have described the PSA dynamics after a second treatment (hormonal) in patients initially treated by a radiation therapy alone
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Dang, Huong Dieu. "Rating History, Time and The Dynamic Estimation of Rating Migration Hazard." University of Sydney, 2010. http://hdl.handle.net/2123/6397.
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Doctor of Philosophy(PhD)This thesis employs survival analysis framework (Allison, 1984) and the Cox’s hazard model (Cox, 1972) to estimate the probability that a credit rating survives in its current grade at a certain forecast horizon. The Cox’s hazard model resolves some significant drawbacks of the conventional estimation approaches. It allows a rigorous testing of non-Markovian behaviours and time heterogeneity in rating dynamics. It accounts for the changes in risk factors over time, and features the time structure of probability survival estimates. The thesis estimates three stratified Cox’s hazard models, including a proportional hazard model, and two dynamic hazard models which account for the changes in macro-economic conditions, and the passage of survival time over rating durations. The estimation of these stratified Cox’s hazard models for downgrades and upgrades offers improved understanding of the impact of rating history in a static and a dynamic estimation framework. The thesis overcomes the computational challenges involved in forming dynamic probability estimates when the standard proportionality assumption of Cox’s model does not hold and when the data sample includes multiple strata. It is found that the probability of rating migrations is a function of rating history and that rating history is more important than the current rating in determining the probability of a rating change. Switching from a static estimation framework to a dynamic estimation framework does not alter the effect of rating history on the rating migration hazard. It is also found that rating history and the current rating interact with time. As the rating duration extends, the main effects of rating history and current rating variables decay. Accounting for this decay has a substantial impact on the risk of rating transitions. Downgrades are more affected by rating history and time interactions than upgrades. To evaluate the predictive performance of rating history, the Brier score (Brier, 1950) and its covariance decomposition (Yates, 1982) were employed. Tests of forecast accuracy suggest that rating history has some predictive power for future rating changes. The findings suggest that an accurate forecast framework is more likely to be constructed if non-Markovian behaviours and time heterogeneity are incorporated into credit risk models.
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Stevenson, Alexander Graham. "A comparison of the accuracy of various methods of postnatal gestational age estimation; including Ballard score, foot length, vascularity of the anterior lens, last menstrual period and also a clinician's non-structured assessment." Master's thesis, Faculty of Health Sciences, 2020. http://hdl.handle.net/11427/33997.
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Rationale Gestational age is a strong determinant of neonatal mortality and morbidity. Early obstetric ultrasound is the clinical reference standard, but is not widely available in many developing countries. There is a well recognised need to identify reliable and simple methods of postnatal gestational age estimation. Methods A prospectively designed methods comparison study in a tertiary referral hospital in a developing country. Early ultrasound (<20 weeks) was the clinical reference standard. Methods evaluated included anthropometric measurements (including foot-length), vascularity of the anterior lens, the New Ballard Score and Last Menstrual Period. Clinicians' non-structured global impression “End of Bed” Assessment was also evaluated. Results 106 babies were included in the study. Median age at birth was 34 weeks (IQR 29-36). Ballard Score and “End of Bed” Assessment had a mean bias of -0.14 and 0.06 weeks respectively but wide 95% limits of agreement. The physical component of the Ballard score, the total Ballard score and Foot-length's ability to discriminate between term and preterm infants gave an AUROC of 0.97, 0.96 and 0.95 respectively. Discussion Although “End of Bed” Assessment and Ballard score had small mean biases, the wide confidence intervals render the methods irrelevant in clinical practice. Foot-length was particularly poor in Small for Gestational Age infants. None of the methods studied were superior to a non-structured clinician's informal “End of Bed” Assessment. Conclusion None of the methods studied met the a priori definition of clinical usefulness. Improving access to early ultrasound remains a priority. Instead of focusing on chronological accuracy, future research should compare the ability of early ultrasound and Ballard score to predict morbidity and mortality.
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Wahab, Nor-Ul. "Evaluation of Supervised Machine LearningAlgorithms for Detecting Anomalies in Vehicle’s Off-Board Sensor Data." Thesis, Högskolan Dalarna, Mikrodataanalys, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-28962.
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A diesel particulate filter (DPF) is designed to physically remove diesel particulate matter or soot from the exhaust gas of a diesel engine. Frequently replacing DPF is a waste of resource and waiting for full utilization is risky and very costly, so, what is the optimal time/milage to change DPF? Answering this question is very difficult without knowing when the DPF is changed in a vehicle. We are finding the answer with supervised machine learning algorithms for detecting anomalies in vehicles off-board sensor data (operational data of vehicles). Filter change is considered an anomaly because it is rare as compared to normal data. Non-sequential machine learning algorithms for anomaly detection like oneclass support vector machine (OC-SVM), k-nearest neighbor (K-NN), and random forest (RF) are applied for the first time on DPF dataset. The dataset is unbalanced, and accuracy is found misleading as a performance measure for the algorithms. Precision, recall, and F1-score are found good measure for the performance of the machine learning algorithms when the data is unbalanced. RF gave highest F1-score of 0.55 than K-NN (0.52) and OCSVM (0.51). It means that RF perform better than K-NN and OC-SVM but after further investigation it is concluded that the results are not satisfactory. However, a sequential approach should have been tried which could yield better result.
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Malm, Hanna, and Edith Rodriguez. "Konkursprognostisering : En tillämpning av tre internationella modeller." Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-30578.
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Bakgrund: Varje år går många företag i konkurs och detta innebär stora kostnader på kort sikt. Kreditgivare, ägare, investerare, borgenärer, företagsledning, anställda samt samhället är de som i störst utsträckning drabbas av detta. För att kunna bedöma ett företags ekonomiska hälsa är det därför en viktig del att kunna prognostisera risken för en konkurs. Till hjälp har vi olika konkursmodeller som har utvecklats sedan början av 1960-talet och fram till idag. Syfte: Att undersöka tre internationella konkursmodeller för att se om dessa kan tillämpas på svenska företag samt jämföra träffsäkerheten från vår studie med konkursmodellernas originalstudier. Metod: Undersökningen är baserad på en kvantitativ forskningsstrategi med en deduktiv ansats. Urvalet grundas på företag som gick i konkurs år 2014. Till detta kommer också en kontrollgrupp bestående av lika stor andel friska företag att undersökas. Det slumpmässiga urvalet kom att bestå av 30 konkursföretag samt 30 friska företag från tillverknings- och industribranschen. Teori: I denna studie undersöks tre konkursmodeller; Altman, Fulmer och Springate. Dessa modeller och tidigare forskning presenteras utförligare i teoriavsnittet. Dessutom beskrivs under teoriavsnittet några nyckeltal som är relevanta vid konkursprediktion. Resultat och slutsats: Modellerna är inte tillämpbara på svenska företag då resultaten från vår studie inte visar tillräcklig träffsäkerhet och är därför måste betecknas som otillförlitliga.Background: Each year many companies go bankrupt and it is associated with significant costs in the short term. Creditors, owners, investors, management, employees and society are those that gets most affected by the bankruptcy. To be able to estimate a company’s financial health it is important to be able to predict the risk of a bankruptcy. To help, we have different bankruptcy prediction models that have been developed through time, since the 1960s until today, year 2015. Purpose: To examine three international bankruptcy prediction models to see if they are applicable to Swedish business and also compare the accuracy from our study with each bankruptcy prediction models original study. Method: The study was based on a quantitative research strategy and also a deductive research approach. The selection was based on companies that went bankrupt in year 2014. Added to this is a control group consisting of healthy companies that will also be examined. Finally, the random sample consisted of 30 bankrupt companies and 30 healthy companies that belong to the manufacturing and industrial sectors. Theory: In this study three bankruptcy prediction models are examined; Altman, Fulmer and Springate. These models and also previous research in bankruptcy prediction are further described in the theory section. In addition some financial ratios that are relevant in bankruptcy prediction are also described. Result and conclusion: The models are not applicable in the Swedish companies. The results of this study have not showed sufficient accuracy and they can therefore be regarded as unreliable.
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Duncan, Patrick H. "Comparing cutoff scores a replication of "A note on the accuracy of passing scores set by the Angoff and Nedelsky methods" /." 1997. http://catalog.hathitrust.org/api/volumes/oclc/37785412.html.
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Thesis (M.S.)--University of Wisconsin--Madison, 1997.Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 36-40).
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Stevens, S. L., R. J. Stevens, Leeuw P. de, A. A. Kroon, S. Greenfield, Mohammed A. Mohammed, P. Gill, W. J. Verberk, and R. J. McManus. "Using out-of-office blood pressure measurements in established cardiovascular risk scores: implications for practice." 2018. http://hdl.handle.net/10454/16588.
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yesAbstract Background: Blood pressure (BP) measurement is increasingly carried out through home or ambulatory monitoring, yet existing cardiovascular risk scores were developed for use with measurements obtained in clinic. Aim: To describe differences in cardiovascular risk estimates obtained using ambulatory or home BP measurements instead of clinic readings. Design and setting: Secondary analysis of data from adults aged 30-84 without prior history of cardiovascular disease (CVD) in two BP monitoring studies (BP-Eth and HOMERUS). Method: The primary comparison was Framingham risk calculated using BP measured as in the Framingham study or daytime ambulatory BP measurements. The QRISK2 and SCORE risk equations were also studied. Statistical and clinical significance were determined using the Wilcoxon signed-rank test and scatter plots respectively. Results: In 442 BP-Eth patients (mean age = 58 years, 50% female) the median absolute difference in 10-year Framingham cardiovascular risk calculated using BP measured as in the Framingham study or daytime ambulatory BP measurements was 1.84% (interquartile range 0.65 to 3.63, p=0.67). Only 31/ 442 (7.0%) of patients were reclassified across the 10% risk treatment threshold. In 165 HOMERUS patients (mean age = 56 years, 46% female) the median difference in 10-year risk was 2.76% (IQR 1.19 to 6.39, p<0.001) and only 8/165 (4.8%) of patient were reclassified. Conclusion: Estimates of cardiovascular risk are similar when calculated using BP measurements obtained as in the risk score derivation study or through ambulatory monitoring. Further research is required to determine if differences in estimated risk would meaningfully influence risk score accuracy.
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Jia-LingSyue and 薛佳綾. "Accurate Audio-to-Score Alignment for Expressive Violin Recordings." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/jd9xwa.
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Ghleilib, Intisar Ali. "The accuracy of prostate biopsy to assign patients with low-grade prostate cancer to active surveillance." Thesis, 2014. https://hdl.handle.net/2144/15352.
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PURPOSE: To determine the accuracy of prostate biopsy Gleason score (GS) compared to prostatectomy GS. To determine whether a biopsy is a satisfactory diagnostic procedure to offer active surveillance for patients with low-grade prostate cancer.
METHODS: This study was conducted in Tuft Medical Center as retrospective cohort study over the period from 2007-2010. The study included 83 patients for whom biopsy and prostatectomy GS were available.
MEASUREMENTS: Gleason scores of 6, 7, and 8-10 were assigned to low, moderate, and high-grades, respectively. The kappa statistic was calculated to assess the degree of agreement between biopsy and prostatectomy. The ROC curve was used to evaluate the sensitivity and specificity of prostate biopsy for different Gleason grades.
Also, compared whether the use of specific criteria for active surveillance (Johns Hopkins and UCSF) may decrease the level of up-grading in patient with low-grade prostate cancer using Chi-square test.
RESULTS: The distribution of low, moderate, and high-grade cancer in biopsy (52%, 32%, 16%) and prostatectomy specimen (33%, 55%, 12%) showed fair agreement with weighted kappa 0.35. The prostate biopsy accurately predicted GS in 46%, up-graded in 38%, and down-graded in 16%. The patients with low-grade cancer and potentially eligible for active surveillance showed up-grading in 50% of cases. This up-grading reduced to 40% with the use of Johns Hopkins criteria and to 41% with the use of UCSF criteria.
CONCLUSIONS: The accuracy of biopsy GS in predicting prostatectomy GS is severely limited and therefore biopsy is not enough diagnostic procedure to offer active surveillance.
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Faisal, Muhammad, A. Mohammed Mohammed, D. Richardson, E. W. Steyerberg, M. Fiori, and K. Beatson. "Predictive accuracy of enhanced versions of the on-admission National Early Warning Score in estimating the risk of COVID-19 for unplanned admission to hospital: a retrospective development and validation study." 2021. http://hdl.handle.net/10454/18599.
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YesThe novel coronavirus SARS-19 produces 'COVID-19' in patients with symptoms. COVID-19 patients admitted to the hospital require early assessment and care including isolation. The National Early Warning Score (NEWS) and its updated version NEWS2 is a simple physiological scoring system used in hospitals, which may be useful in the early identification of COVID-19 patients. We investigate the performance of multiple enhanced NEWS2 models in predicting the risk of COVID-19. Our cohort included unplanned adult medical admissions discharged over 3 months (11 March 2020 to 13 June 2020 ) from two hospitals (YH for model development; SH for external model validation). We used logistic regression to build multiple prediction models for the risk of COVID-19 using the first electronically recorded NEWS2 within ± 24 hours of admission. Model M0' included NEWS2; model M1' included NEWS2 + age + sex, and model M2' extends model M1' with subcomponents of NEWS2 (including diastolic blood pressure + oxygen flow rate + oxygen scale). Model performance was evaluated according to discrimination (c statistic), calibration (graphically), and clinical usefulness at NEWS2 ≥ 5. The prevalence of COVID-19 was higher in SH (11.0 %=277/2520) than YH (8.7 %=343/3924) with a higher first NEWS2 scores ( SH 3.2 vs YH 2.8) but similar in-hospital mortality (SH 8.4 % vs YH 8.2 %). The c-statistics for predicting the risk of COVID-19 for models M0',M1',M2' in the development dataset were: M0': 0.71 (95 %CI 0.68-0.74); M1': 0.67 (95 %CI 0.64-0.70) and M2': 0.78 (95 %CI 0.75-0.80)). For the validation datasets the c-statistics were: M0' 0.65 (95 %CI 0.61-0.68); M1': 0.67 (95 %CI 0.64-0.70) and M2': 0.72 (95 %CI 0.69-0.75) ). The calibration slope was similar across all models but Model M2' had the highest sensitivity (M0' 44 % (95 %CI 38-50 %); M1' 53 % (95 %CI 47-59 %) and M2': 57 % (95 %CI 51-63 %)) and specificity (M0' 75 % (95 %CI 73-77 %); M1' 72 % (95 %CI 70-74 %) and M2': 76 % (95 %CI 74-78 %)) for the validation dataset at NEWS2 ≥ 5. Model M2' appears to be reasonably accurate for predicting the risk of COVID-19. It may be clinically useful as an early warning system at the time of admission especially to triage large numbers of unplanned hospital admissions.
The Health Foundation (Award No 7380) and the National Institute for Health Research (NIHR) Yorkshire and Humber Patient Safety Translational Research Centre (NIHR Yorkshire and Humber PSTRC) (Award No PSTRC-2016-006)
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Deng, Nina. "Evaluating IRT- and CTT- based methods of estimating classification consistency and accuracy indices from single administrations." 2011. https://scholarworks.umass.edu/dissertations/AAI3482610.
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Three decision consistency and accuracy (DC/DA) methods, the Livingston and Lewis (LL) method, LEE method, and the Hambleton and Han (HH) method, were evaluated. The purposes of the study were: (1) to evaluate the accuracy and robustness of these methods, especially when their assumptions were not well satisfied, (2) to investigate the “true” DC/DA indices in various conditions, and (3) to assess the impact of choice of reliability estimate on the LL method. Four simulation studies were conducted: Study 1 looked at various test lengths. Study 2 focused on local item dependency (LID). Study 3 checked the consequences of IRT model-data misfit and Study 4 checked the impact of using different scoring metrics. Finally, a real data study was conducted where no advantages were given to any models or assumptions. The results showed that the factors of LID and model misfit had a negative impact on “true” DA index, and made all selected methods over-estimate DA index. On the contrary, the DC estimates had minimal impacts from the above factors, although the LL method had poorer estimates in short tests and the LEE and HH methods were less robust to tests with a high level of LID. Comparing the selected methods, the LEE and HH methods had nearly identical results across all conditions, while the HH method had more flexibility in complex scoring metrics. The LL method was found sensitive to the choice of test reliability estimate. The LL method with Cronbach’s alpha consistently underestimated DC estimates while LL with stratified alpha functioned noticeably better with smaller bias and more robustness in various conditions. Lastly it is hoped to make the software be available soon to permit the wider use of the HH method. The other methods in the study are already well supported by easy to use software.
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Yang, Tae-kyoung Chang Hua-Hua. "Measurement of Korean EFL college students' foreign language classroom speaking anxiety evidence of psychometric properties and accuracy of a computerized adaptive test (CAT) with dichotomously scored items using a CAT simulation /." 2005. http://repositories.lib.utexas.edu/bitstream/handle/2152/2199/yangt52868.pdf.
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Yang, Tae-kyoung. "Measurement of Korean EFL college students' foreign language classroom speaking anxiety: evidence of psychometric properties and accuracy of a computerized adaptive test (CAT) with dichotomously scored items using a CAT simulation." Thesis, 2005. http://hdl.handle.net/2152/2199.
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Parthasarathy, Sindhu. "Autonomous Sensor System for Self-Monitoring of Training in Shooting Sport." Thesis, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16956.
Full textAbstract:
The factor of precision has always been the mastermind of the shooting sport. With new shooters coming into the field every day and with more aspiring shooters bringing laurels, a help of technology for training can make a difference. When advanced systems like the SCATT, Electronic Target Systems, etc. are marked for the people of the higher background, an easy handle autonomous system for self-monitoring training of precision improvement has always been a question of far reach. This project is about developing an external removable device, which will monitor and evaluate the shooter efficiency of gripping weapon, measure by pressure given at the contact points of the weapon. In the contact points, such as the trigger, the hand grip, cheek rest, butt plate and the hand rest; we use force sensitive resistors, which are connected to an automatic monitoring system built over an Arduino platform. The system analyses the shots based on the variation in the pressure at each point of contact for every shot. By further analysis and consolidation, the average pressure over a range of shots, an optimal pressure point can be fixed individually for the respective shooter. This pressure points are used as references, by rating them in comparison with the corresponding shot acquired in the target. The system includes a pre-designed training program, which autonomously monitors and trains the shooter to achieve the optimum grip in every shot, thereby increasing the accuracy and precision in a sequence of shots. With time, it helps the body to develop a muscle memory based on controlled training and learn the rhythm of applying optimum pressure to achieve better results.Noted the puBlication content is patented.