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Dissertations / Theses on the topic 'Statistical meta-analysis'

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Published: 4 June 2021

Last updated: 25 July 2025

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1

Dogo, Samson Henry. "Some statistical problems in sequential meta-analysis." Thesis, University of East Anglia, 2016. https://ueaeprints.uea.ac.uk/59244/.

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The objective of meta-analysis is to combine results from several independent studies in order to make evidence more generalisable and provide evidence base for decision making. However, recent studies show that the magnitude of effect size estimates reported in many areas of research have significantly changed over time. These temporal trends can be dramatic and even lead to the loss or gain of the statistical significance of the cumulative treatment effect (Kulinskaya and Koricheva, 2010). Standard sequential methods including cumulative meta-analysis, sequential meta-analysis, the use of qu

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2

Luo, Dehui. "Statistical learning of median in meta-analysis." HKBU Institutional Repository, 2017. https://repository.hkbu.edu.hk/etd_oa/469.

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As one of the most recommended strategies in decision making of contemporary medicine, evidence-based medicine (EBM) is attracting more and more attention. For EBM, the scientific evidences are obtained mainly from the randomized controlled trials (RCTs), systematic review and meta-analysis. In particular, meta-analysis can help researchers statistically combine several independent studies for a same clinical problem. In meta-analysis, Cohen's d and Hedges' g are among the most commonly used effect size measurements for continuous data. To compute these mean difference criteria, the sample mea

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3

Simmonds, Mark Crawford. "Statistical methods for individual patient data meta-analysis." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.595824.

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4

Preston, Carrol Lesley. "Statistical models of publication basis in meta-analysis." Thesis, Queen Mary, University of London, 2000. http://qmro.qmul.ac.uk/xmlui/handle/123456789/1624.

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Objectives: To review, apply and compare existing publication bias methodology. To extend the selection model methods that adjust combined estimates and to develop models to adjust for publication bias and heterogeneity simultaneously. ' Methods: Methodologies that test for the existence of publication bias, estimate the number of missing studies, and adjust combined estimates for publication bias are reviewed. Parametric weighted distribution methodology is developed further. The existing family of distributions is extended to include a logistic function. Weight functions previously limited t

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5

Brody-Moore, Peter. "Bayesian Hierarchical Meta-Analysis of Asymptomatic Ebola Seroprevalence." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2228.

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The continued study of asymptomatic Ebolavirus infection is necessary to develop a more complete understanding of Ebola transmission dynamics. This paper conducts a meta-analysis of eight studies that measure seroprevalence (the number of subjects that test positive for anti-Ebolavirus antibodies in their blood) in subjects with household exposure or known case-contact with Ebola, but that have shown no symptoms. In our two random effects Bayesian hierarchical models, we find estimated seroprevalences of 8.76% and 9.72%, significantly higher than the 3.3% found by a previous meta-analysis of t

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6

Hardy, Rebecca Jane. "Meta-analysis techniques in medical research : a statistical perspective." Thesis, London School of Hygiene and Tropical Medicine (University of London), 1995. http://researchonline.lshtm.ac.uk/682268/.

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Meta-analysis is now commonly used in medical research. However there are statistical issues relating to the subject that require investigation and some are considered here, from both a methodological and a practical perspective. Each of the fixed effect and the random effects models for meta-analysis are based on certain assumptions and the validity of these is investigated. A formal test of the homogeneity assumption made in the fixed effect model may be performed. Since the test has low power, simulation was used to investigate the power under various conditions. The random effects model in

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7

Dockes, Jérôme. "Statistical models for comprehensive meta-analysis of neuroimaging studies." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLT048.

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La neuroimagerie permet d’étudier les liens entre la structure et le fonctionnement du cerveau. Des milliers d’études de neuroimagerie sont publiées chaque année. Il est difficile d’exploiter cette grande quantité de résultats. En effet, chaque étude manque de puissance statistique et peut reporter beaucoup de faux positifs. De plus, certains effets sont spécifiques à un protocole expérimental et difficile à reproduire. Les méta-analyses rassemblent plusieurs études pour identifier les associations entre structures anatomiques et processus cognitifs qui sont établies de manière consistante dan

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8

Minte-Vera, Carolina V. "Meta-analysis of density-dependent somatic growth /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/5395.

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9

Roloff, Verena Sandra. "Statistical methods for using meta-analysis to plan future research." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610859.

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10

Siangphoe, Umaporn. "META-ANALYSIS OF GENE EXPRESSION STUDIES." VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/4040.

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Combining effect sizes from individual studies using random-effects models are commonly applied in high-dimensional gene expression data. However, unknown study heterogeneity can arise from inconsistency of sample qualities and experimental conditions. High heterogeneity of effect sizes can reduce statistical power of the models. We proposed two new methods for random effects estimation and measurements for model variation and strength of the study heterogeneity. We then developed a statistical technique to test for significance of random effects and identify heterogeneous genes. We also propo

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11

Lamb, Kevin Vieira. "Analyzing Metacommunity Models with Statistical Variance Partitioning: A Review and Meta-Analysis." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/9248.

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The relative importance of deterministic processes versus chance is one of the most important questions in science. We analyze the success of variance partitioning methods used to explain variation in β-diversity and partition it into environmental, spatial, and spatially structured environmental components. We test the hypotheses that 1) the number of environmental descriptors in a study would be positively correlated with the percentage of β-diversity explained by the environment, and that the environment would explain more variation in β-diversity than spatial or shared factors in VP analys

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12

Schwarzer, Guido [Verfasser]. "Statistical tests for bias in meta-analysis with binary outcomes / Guido Schwarzer." Dortmund : Universitätsbibliothek Technische Universität Dortmund, 2004. http://d-nb.info/1011532220/34.

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13

Rendina-Gobioff, Gianna. "Detecting publication bias in random effects meta-analysis : an empirical comparison of statistical methods." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001494.

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14

Claggett, Brian Lee. "Statistical Methods for Clinical Trials with Multiple Outcomes, HIV Surveillance, and Nonparametric Meta-Analysis." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10440.

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Central to the goals of public health are obtaining and interpreting timely and relevant information for the benefit of humanity. In this dissertation, we propose methods to monitor and assess the spread HIV in a more rapid manner, as well as to improve decisions regarding patient treatment options. In Chapter 1, we propose a method, extending the previously proposed dual-testing algorithm and augmented cross-sectional design, for estimating the HIV incidence rate in a particular community. Compared to existing methods, our proposed estimator allows for shorter follow-up time and does not requ

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15

Magosi, Lerato Elaine. "Dissecting heterogeneity in GWAS meta-analysis." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:c853f7e7-93de-440c-b57c-fcfc03d3bb86.

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Statistical heterogeneity refers to differences among results of studies combined in a meta-analysis beyond that expected by chance. On the one hand, excessive heterogeneity can diminish power to discover genetic signals; on the other, moderate heterogeneity can reveal important biological differences among studies. Given its double-edged nature, this thesis dissects heterogeneity in genetic association meta-analyses from three vantage points. First, a novel multi-variant statistic, M is proposed to detect genome-wide (systematic) heterogeneity patterns in genetic association meta-analyses. Th

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Salimi-Khorshidi, Gholamreza. "Statistical models for neuroimaging meta-analytic inference." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:40a10327-7f36-42e7-8120-ae04bd8be1d4.

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A statistical meta-analysis combines the results of several studies that address a set of related research hypotheses, thus increasing the power and reliability of the inference. Meta-analytic methods are over 50 years old and play an important role in science; pooling evidence from many trials to provide answers that any one trial would have insufficient samples to address. On the other hand, the number of neuroimaging studies is growing dramatically, with many of these publications containing conflicting results, or being based on only a small number of subjects. Hence there has been increas

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17

Forster, Thorsten. "Statistical modelling of masked gene regulatory pathway changes across microarray studies of interferon gamma activated macrophages." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9558.

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Interferon gamma (IFN-γ) regulation of macrophages plays an essential role in innate immunity and pathogenicity of viral infections by directing large and small genome-wide changes in the transcriptional program of macrophages. Smaller changes at the transcriptional level are difficult to detect but can have profound biological effects, motivating the hypothesis of this thesis that responses of macrophages to immune activation by IFN-γ include small quantitative changes that are masked by noise but represent meaningful transcriptional systems in pathways against infection. To test this hypothe

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18

Walsche, Annaïg De. "Development of statistical methods for meta-analysis of genome-wide association studies, applications in plant genetics." Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPASM007.

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Les études d'association pangénomiques (GWAS) permettent d'identifier les régions génomiques associées aux caractères phénotypiques. En génétique végétale, ces GWAS aident à identifier les facteurs génétiques influant des caractères agronomiques essentiels, tels que le rendement, la résistance aux maladies ou la tolérance aux stress environnementaux. Cependant, les GWAS présentent des limites importantes, notamment en termes de puissance statistique car elles analysent des millions de marqueurs génétiques pour un nombre relativement réduit d'individus. De plus, les approches GWAS standard sont

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19

ZHONG, WEI. "STATISTICAL APPROACHES TO ANALYZE CENSORED DATA WITH MULTIPLE DETECTION LIMITS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1130204124.

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20

Burgess, Stephen. "Statistical issues in Mendelian randomization : use of genetic instrumental variables for assessing causal associations." Thesis, University of Cambridge, 2012. https://www.repository.cam.ac.uk/handle/1810/242184.

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Mendelian randomization is an epidemiological method for using genetic variationto estimate the causal effect of the change in a modifiable phenotype onan outcome from observational data. A genetic variant satisfying the assumptionsof an instrumental variable for the phenotype of interest can be usedto divide a population into subgroups which differ systematically only in thephenotype. This gives a causal estimate which is asymptotically free of biasfrom confounding and reverse causation. However, the variance of the causalestimate is large compared to traditional regression methods, requiring

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21

Dimier, Natalie. "Statistical methodology for evaluation of time-to-event surrogate and true endpoints in small-sample meta-analysis of clinical trials." Thesis, University of Reading, 2017. http://centaur.reading.ac.uk/78463/.

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Clinical trials can be lengthy and costly, with new treatments taking more than a decade to become available to the patients who need them. It is therefore of great interest to improve efficiency in this process, such as replacing the primary endpoint of a clinical trial with an alternative endpoint that can be measured with greater ease, reduced cost or reduced observation periods. Such replacement endpoints are called surrogate endpoints, and there has been a vast amount of research conducted to establish statistical methodology that can reliably assess whether such endpoints are appropriate

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22

Ramasamy, Adaikalavan. "Increasing statistical power and generalizability in genomics microarray research." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:81ccede7-a268-4c7a-9bf8-a2b68634846d.

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The high-throughput technologies developed in the last decade have revolutionized the speed of data accumulation in the life sciences. As a result we have very rich and complex data that holds great promise to solving many complex biological questions. One such technology that is very well established and widespread is DNA microarrays, which allows one to simultaneously measure the expression levels of tens of thousands of genes in a biological tissue. This thesis aims to contribute to the development of statistics that allow the end users to obtain robust and meaningful results from DNA micro

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23

Friedrich, Torben. "New statistical Methods of Genome-Scale Data Analysis in Life Science - Applications to enterobacterial Diagnostics, Meta-Analysis of Arabidopsis thaliana Gene Expression and functional Sequence Annotation." kostenfrei, 2009. http://www.opus-bayern.de/uni-wuerzburg/volltexte/2009/3985/.

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24

Hoyer, Annika [Verfasser], Holger [Akademischer Betreuer] Schwender, and Oliver [Akademischer Betreuer] Kuß. "Statistical methods for meta-analysis to compare two diagnostic tests to a common gold standard / Annika Hoyer. Gutachter: Holger Schwender ; Oliver Kuß." Düsseldorf : Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf, 2016. http://d-nb.info/1098427831/34.

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Coe, Robert, and Soto César Merino. "Effect Size: A guide for researchers and users." Pontificia Universidad Católica del Perú, 2003. http://repositorio.pucp.edu.pe/index/handle/123456789/100341.

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The present article describes a method to quantify the magnitude of the differences between two measures and/or the degree of the effect of a variable about criteria, and it is named likethe effect size measure, d. Use it use in research and applied contexts provides a quitedescriptive complementary information, improving the interpretation of the results obtained bythe traditional methods that emphasize the statistical significance. Severa) forms there are of interpreting the d, and an example taken of an experimental research, is presented to clarify the concepts and necessary calculations.

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26

Park, Joonsuk. "Using Sequential Sampling Models to Detect Selective Infuences: Pitfalls and Recommendations." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu157470864789277.

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27

Romano, Jeanine L. "Examining the issues surrounding violating the assumption of independent observations in reliability generalization studies : a simulation study." [Tampa, Fla] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0001931.

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28

Haynes, Michele Ann. "Flexible distributions and statistical models in ranking and selection procedures with applications." Thesis, Queensland University of Technology, 1998.

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29

Revelli, Christophe. "La performance financière de l'investissement socialement responsable (ISR) : approche méta-analytique." Thesis, Montpellier 1, 2011. http://www.theses.fr/2011MON10035/document.

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Cette thèse évalue la performance financière de l'investissement socialement responsable (ISR). Dans le but de surmonter le manque de consensus sur le thème de recherche, nous proposons d'aborder la question sous l'angle de la généralisation à travers une approche méta-analytique ayant pour objectif de démontrer un lien de cause à effet entre ISR et performance financière (ou boursière). A travers l'étude d'un corpus empirique d'observation incluant 75 études (161 expérimentations) sur la période 1972-2009 sélectionnées sur la base de notre propre typologie définitionnelle de l'ISR, nous artic

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30

Boykova, Alla. "An introduction to meta analysis." Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/605.

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31

Jeon, Seonghye. "Bayesian data mining techniques in public health and biomedical applications." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43712.

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The emerging research issues in evidence-based healthcare decision-making and explosion of comparative effectiveness research (CER) are evident proof of the effort to thoroughly incorporate the rich data currently available within the system. The flexibility of Bayesian data mining techniques lends its strength to handle the challenging issues in the biomedical and health care domains. My research focuses primarily on Bayesian data mining techniques for non-traditional data in this domain, which includes, 1. Missing data: Matched-pair studies with fixed marginal totals with application to met

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Sultan, Shagufta Ahmed. "Probabilistic assessment of study quality in meta-analysis." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33848.

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The quality of studies in meta-analysis can vary widely. This variation is usually described by assigning quality scores to studies. A natural way to incorporate quality scores into an analysis is to weight each study by its quality score in addition to its size or inverse of the variance of the estimate for that study. This method has been used by several authors but has been criticized due to its subjectivity. To improve on this and other existing approaches, Tritchler (1999) introduced a probability model for assessing the effect of quality on a summary effect measure. He derived a number o

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Li, Xiaosong. "Testing on the Common Mean of Normal Distributions Using Bayesian Method." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1301420382.

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34

Bagci, Gokhan Baris Kobe Donald Holm. "The nonadditive generalization of Klimontovich's S-theorem for open systems and Boltzmann's orthodes." [Denton, Tex.] : University of North Texas, 2008. http://digital.library.unt.edu/permalink/meta-dc-9124.

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Mansour, Asmaâ. "Modeling outcome estimates in meta-analysis using fixed and mixed effects linear models." Thesis, McGill University, 1998. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=20585.

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The main objective of this thesis is to present a quantitative method for modeling data collected from different studies on a same research topic. This quantitative method is called meta-analysis.<br>The first step of a meta-analysis is the literature search, conducted using computerized and manual search strategies to identify relevant studies. The second step is the data abstraction from different relevant papers. In general, at least two independent raters systematically abstract the information, and interrater reliability check is performed.<br>The next step is the quantitative analysis of

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Hsu, Yung-chen. "The effectiveness of computer-assisted instruction in statistics education: A meta-analysis." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/289887.

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The purpose of this study was to investigate the effectiveness of computer-assisted instruction (CAI) in statistics education at the college level in the United States. This study employed meta-analysis to integrate the findings from 25 primary studies which met a specific set of criteria. The primary studies were selected from journal articles, ERIC documents, and dissertations. Results of the meta-analysis produced an overall effect size estimate of 0.43, indicating a small to medium positive effect of applying CAI in teaching college-level introductory statistics on students' achievement. S

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Fair, Shannon Marie. "A Bayesian Meta-Analysis Using the Gibbs Sampler." UNF Digital Commons, 1998. http://digitalcommons.unf.edu/etd/87.

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A meta-analysis is the combination of results from several similar studies, conducted by different scientists, in order to arrive at a single, overall conclusion. Unlike common experimental procedures, the data used in a meta-analysis happen to be the descriptive statistics from the distinct individual studies. In this thesis, we will consider two regression studies performed by two scientists. These studies have one common dependent variable, Y, and one or more independent common variables, X. A regression of Y on X with other independent variables is carried out on both studies. We will esti

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Dean, Suzanne Lee. "Heterogeneous versus Homogeneous Measures:A Meta-Analysis of Predictive Efficacy." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1452866556.

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Ulrich, Michael David. "Meta-Analysis Using Bayesian Hierarchical Models in Organizational Behavior." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/2349.

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Meta-analysis is a tool used to combine the results from multiple studies into one comprehensive analysis. First developed in the 1970s, meta-analysis is a major statistical method in academic, medical, business, and industrial research. There are three traditional ways in which a meta-analysis is conducted: ﬁxed or random eﬀects, and using an empirical Bayesian approach. Derivations for conducting meta-analysis on correlations in the industrial psychology and organizational behavior (OB) discipline were reviewed by Hunter and Schmidt (2004). In this approach, Hunter and Schmidt propose an emp

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Schenker, Jason D. "The Effectiveness of Technology Use in Statistics Instruction in Higher Education: A Meta-analysis Using Hierarchical Linear Modeling." [Kent, Ohio] : Kent State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=kent1194979182.

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Thesis (Ph. D.)--Kent State University, 2007.<br>Title from PDF t.p. (viewed July 15, 2008). Advisor: Shawn Fitzgerald. Keywords: Meta-analysis; Technology; Statistics; Hiearchical Linear Modeling; Statistics Instruction. Includes bibliographical references (p. 200-223).

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Yan, Jingjing. "Hierarchical Random-Effect Meta-Analysis of Binary Events Investigating the Relation between Treatment Effect and Underlying Risk." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408681423.

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Welter, John T. "Oblique angle pulse-echo ultrasound characterization of barely visible impact damage in polymer matrix composites." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1575295152635788.

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Nussbaum, Marcy Lauren. "Meta-Analysis of Open vs Closed Surgery of Mandibular Condyle Fractures." VCU Scholars Compass, 2006. http://scholarscompass.vcu.edu/etd/1397.

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A review of the literature reveals a difference of opinion regarding whether open or closed reduction of condylar fractures produces the best results. It would be beneficial to critically analyze past studies that have directly compared the two methods in an attempt to answer this question. A Medline search for articles using the key words 'mandibular condyle fractures' and 'mandibular condyle fractures surgery' was performed. The articles chosen for the meta-analysis contained data on at least one of the following: postoperative maximum mouth opening, lateral excursion, protrusion, deviat

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BIFFI, ANNALISA. "Antidepressants and the risk of cardiovascular diseases." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2018. http://hdl.handle.net/10281/199081.

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La sindrome depressiva è considerata una importante questione nel campo della sanità pubblica. Oggigiorno, circa 300 milioni di persone sono colpiti da disturbi depressivi e un quarto di questi solo in Europa. La terapia con antidepressivi AD come i farmaci triciclici TCA, inibitori selettivi della ricaptazione della serotonina SSRI e nuovi AD atipici, sembra essere il trattamento più appropriato per la cura dei sintomi depressivi. Diversi studi sono realizzati per valutare l’associazione tra trattamento con farmaci AD e insorgenza di patologie cardiovascolari CV. Nel primo studio, è stata es

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SORANNA, DAVIDE. "STUDY OF SEVERAL ISSUES RELATED TO HYPERTENSION THROUGH CLASSICAL AND MODERN META-ANALYTICAL METHODS." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2018. http://hdl.handle.net/10281/199089.

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L'ipertensione è una condizione clinica caratterizzata da un’elevata pressione arteriosa (PA). Solitamente è necessaria una terapia farmacologica con antipertensivi (AI) per ridurre i livelli di PA. Le principali tecniche utilizzate per misurare la PA sono la tecnica Office e il monitoraggio ambulatoriale della pressione arteriosa nelle 24 ore (ABPM). La tecnica Office prevede di effettuare una singola misurazione in un ambiente clinico. Questa tecnica potrebbe però non mostrare il vero livello di PA a causa dell'effetto del camice bianco. L'ABPM è una tecnica in cui la misurazione della PA v

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Hooper, Nicholas. "THE EFFICACY OF MULTIPLE NON-PHARMACOLOGICAL TREATMENT MODALITIES FOR DEPRESSIVE DISORDERS: A SYSTEMATIC REVIEW AND NETWORK META-ANALYSIS." Master's thesis, Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/520698.

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Kinesiology<br>M.S.<br>Physical activity has been theorized and shown to provide therapeutic benefits for those suffering from depressive disorders. Evidence based reviews have shown exercise to be an efficacious treatment modality to decrease depressive symptomatology. Although multiple reviews have demonstrated its effectiveness, exercise is yet to be defined as an evidence-based treatment for those suffering from depression. Thus, the aim of this review is two-fold: to perform an up-to-date meta-analysis examining the efficacy of physical activity in decreasing depressive symptomatology, an

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Mason, Denise Corinne. "A Comparison of Meta-Analytic Approaches to the Analysis of Reliability Estimates." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000114.

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Greco, T. "NETWORK META-ANALYSIS: A NOVEL APPROACH BASED ON A HIERARCHICAL DATA STRUCTURE." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/344198.

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INTRODUCTION Meta-analysis is a powerful tool to cumulate and summarize the knowledge in a research field through statistical instruments, and to identify the overall measure of a treatment’s effect by combining several study-specific results. However, it is a controversial tool, because even small violations of certain rules can lead to misleading conclusions. Pooling data through meta-analysis can create problems, such as non linear correlations, multifactorial rather than unifactorial effects, limited coverage, or inhomogeneous data that fails to connect with the hypothesis. When head-to-h

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Dash, Miriam Claire. "Meta-Analysis Of Studies Investigation Of The Effect Of Smoking Cessation On Impatience." ScholarWorks @ UVM, 2014. http://scholarworks.uvm.edu/graddis/250.

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(DSM-IV-TR/) nor in withdrawal scales. However, a related term, "impatience" is listed in some nicotine withdrawal scales. (Hughes J. R., Measurements of the Effects of Abstinence from Tobacco: A Qualitative Review, 2007). Although impatience is not a synonym of impulsivity, both share the synonym "impetuous". Therefore, impatience can be considered a measure of impulsivity. Although some reviews of the effect of smoking cessation on impatience have occurred, we know of no quantitative review of prospective studies of whether smoking cessation increases impatience. Purpose: To evaluate the eff

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Seneca, Michael J. "Meta-Analysis of Herbal Cannabis Therapy for Chronic Pain." UNF Digital Commons, 2014. http://digitalcommons.unf.edu/etd/503.

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Abstract:

Since the first so-called “medical marijuana” legislation was passed in California in 1996, a total of twenty states and the District of Columbia have passed laws permitting limited use of cannabis. Despite the changes in state laws, cannabis remains illegal for any purpose under federal law. Changes in state laws have coincided with a renewed interest in the substance for the treatment of a variety of conditions. There has been a significant increase in published data over the past twenty years examining the efficacy of cannabis as an appetite stimulant, antiemetic agent, and analgesic adjuva

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