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Journal articles on the topic 'Cox-Snell residuals'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Rumyantseva, Ekaterina, and Kirill Furmanov. "Using out-of-sample Cox–Snell residuals in time-to-event forecasting." Business Informatics 15, no. 1 (2021): 7–18. http://dx.doi.org/10.17323/2587-814x.2021.1.7.18.

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The problem of assessing out-of-sample forecasting performance of event-history models is considered. Time-to-event data are usually incomplete because the event of interest can happen outside the period of observation or not happen at all. In this case, only the shortest possible time is observed and the data are right censored. Traditional accuracy measures like mean absolute or mean squared error cannot be applied directly to censored data, because forecasting errors also remain unobserved. Instead of mean error measures, researchers use rank correlation coefficients: concordance indices by

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2

Hashemian, A. H., M. Garshasbi, M. A. Pourhoseingholi, and S. Eskandari. "A Comparative Study of Cox Regression vs. Log-Logistic Regression (with and without its frailty) in Estimating Survival Time of Patients with Colorectal Cancer." Journal of Medical and Biomedical Sciences 6, no. 1 (2017): 35–43. http://dx.doi.org/10.4314/jmbs.v6i1.5.

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Colorectal cancer is common and lethal disease with different incidence rate in different parts of the world which is taken into account as the third cause of cancer-related deaths. In the present study, using non-parametric Cox model and parametric Log-logistic model, factors influencing survival of patients with colorectal cancer were evaluated and the models efficiency were compared to provide the best model. This study is conducted on medical records of 1,127 patients with colorectal cancer referred to Taleghani Medical and Training Center of Tehran between 2001 - 2007 and were definitely

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Nur Niswah Naslina, Azid Maarof, Arasan Jayanthi, Zulkafli Hani Syahida, and Adam Mohd Bakri. "Assessing the Goodness of Fit of the Gompertz Model in the Presence of Right and Interval Censored Data with Covariate." Austrian Journal of Statistics 49, no. 3 (2020): 57–71. http://dx.doi.org/10.17713/ajs.v49i3.1085.

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This research focuses on assessing the goodness of fit for the Gompertz model in the presence of right and interval censored data with covariate. The performance of the maximum likelihood estimates was evaluated via a simulation study at various censoring proportions and sample sizes. The conclusions were drawn based on the results of bias, standard error and root mean square error at different settings. Following that, another simulation study was carried out to compare the performance of the proposed modifications to the Cox-Snell residuals for both censored and uncensored observations at di

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Al-Khabori, Murtadha K., Gordon Guyatt, Mark D. Minden, et al. "A Prognostic Score of Overall Survival In Adults with Acute Myeloid Leukemia." Blood 116, no. 21 (2010): 2730. http://dx.doi.org/10.1182/blood.v116.21.2730.2730.

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Abstract Abstract 2730 Background: Acute myeloid leukemia (AML) is a malignant myeloid disorder with heterogeneous outcomes. A number of factors have been shown to be prognostic; age, white blood cell (WBC), prior malignancy, performance status (Eastern Cooperative Oncology Group; ECOG) and cytogenetics. Methods: We planned to develop and validate a prognostic score for the 5-year (y) overall survival (OS) of adults with AML receiving intensive induction chemotherapy. We used Cox model to estimate the regression coefficients and Kaplan-Meier to estimate the 5-y OS. We used Cox-Snell, Schoenfel

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GIOLO, Suely Ruiz, and Jaqueline Aparecida RAMINELLI. "SURVIVAL MODELS IN THE CONTEXT OF MULTIPLICATIVE AND ADDITIVE HAZARDS." REVISTA BRASILEIRA DE BIOMETRIA 37, no. 3 (2019): 306. http://dx.doi.org/10.28951/rbb.v37i3.391.

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In survival analysis, multiplicative and additive hazards models provide the two principal frameworks to study the association between the hazard and covariates. When these models are considered for analyzing a given survival dataset, it becomes relevant to evaluate the overall goodness-of-fit and how well each model can predict those subjects who subsequently will or will not experience the event. In this paper, this evaluation is based on a graphical representation of the Cox-Snell residuals and also on a time-dependent version of the area under the receiver operating characteristic (ROC) cu

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Scolas, Sylvie, Catherine Legrand, Abderrahim Oulhaj, and Anouar El Ghouch. "Diagnostic checks in mixture cure models with interval-censoring." Statistical Methods in Medical Research 27, no. 7 (2016): 2114–31. http://dx.doi.org/10.1177/0962280216676502.

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Models for interval-censored survival data presenting a fraction of “cure” or “immune” patients have recently been proposed in the literature, particularly extending the mixture cure model to interval-censored data. However, little is known about the goodness-of-fit of such models. In a mixture cure model, the survival distribution of the entire population is improper and expressed in terms of the survival distribution of uncured individuals, i.e. the latency part of the model, and the probability to experience the event of interest, i.e. the incidence part. To validate a mixture cure model, a

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MEKKI, Reem Yousif, Mohamed Hassan MUDAWI, Manahil Saidahmed MUSTAFA, Altaiyb Omer Ahmed MOHMMED, Ahmed Bakheet Abd ALLA, and Abdel Rahman AHMED. "Parametric Survival Models of Hemodialysis Patients in Relation with Patient-Related Factors." Medicina Moderna - Modern Medicine 27, no. 4 (2020): 295–304. http://dx.doi.org/10.31689/rmm.2020.27.4.295.

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Background: Survival analysis refers to analyzing of statistical data for which the outcome variable of interest is time until an event occurs. This research aimed at comparing different models of parametric Proportional Hazards (PH) models (Weibull, exponential, Gompertz) in patients with hemodialysis to determine the best model for assessing the survival of patient. Study consists of 325 hemodialysis patients who referred to public hospitals in Khartoum state in the period from December 2005 to December 2015. Data was used to estimate the survival function with view to identify risk factors

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Nikpour, Abolfazl, Jamshid Yazdani Charati, Iraj Maleki, Hosien Ranjbaran, and Alireza Khalilian. "Parametric Model Evaluation in Examining the Survival of Gastric Cancer Patients Andits Influencing Factors." Global Journal of Health Science 9, no. 3 (2016): 260. http://dx.doi.org/10.5539/gjhs.v9n3p260.

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<p><strong>BACKGROUND:</strong> Cox proportional hazard model is the most common technique to analysis the variables effect on survival time, but under certain circumstances, parametric models may offer advantages over Cox’s model. In this study we use cox regression and alternative parametric models such as Weibull, exponential, log-normal, logistics and gamma model to evaluate factors affecting survival of patients with gastric cancer. Comparisons were made to find the best model.</p><p><strong>METHOD</strong><strong>:</strong> In this st

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Khanal, Shankar Prasad, V. Sreenivas, and Subrat K. Acharya. "Comparison of Cox Proportional Hazards Model and Lognormal Accelerated Failure Time Model: Application in Time to Event Analysis of Acute Liver Failure Patients in India." Nepalese Journal of Statistics 3 (September 16, 2019): 21–40. http://dx.doi.org/10.3126/njs.v3i0.25576.

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Background: Different survival analysis techniques such as nonparametric, semi-parametric, parametric Accelerated Failure Time (AFT) models have been generally applied to analyze time to event data. In order to identify the prognostic factors for survival of Acute Liver Failure (ALF) patients, previous studies applied Cox Proportional hazards (CPH) model, Lognormal AFT and Log-Logistic AFT model satisfying respective model’s assumptions and goodness of fit of each model. However, comparison of CPH model and AFT model has not been reported so far for ALF data with short follow up time. Ob

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Gibson, Steven J., Jennifer A. Thornton, and Christin B. DeStefano. "Multiple Myeloma in Adolescent and Young Adults: A SEER and CIBMTR Analysis." Blood 136, Supplement 1 (2020): 12–13. http://dx.doi.org/10.1182/blood-2020-136399.

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Background Multiple myeloma (MM) is a disease of the elderly, with less than 3% of cases diagnosed in adolescents and young adults (AYA). Data on demographics, use of autologous stem cell transplant (ASCT), second primary malignancies (SPMs) and survival are scant to non-existent in the AYA MM population. To our knowledge, this study is the first to better understand characteristics and survival trends of this unique population. Methods The Surveillance, Epidemiology, and End Results (SEER)-18 and Center for International Blood and Marrow Transplant Research (CIBMTR) datasets were utilized. In

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Peng, Linliu, Zhao Chen, Zhe Long, et al. "New Model for Estimation of the Age at Onset in Spinocerebellar Ataxia Type 3." Neurology 96, no. 23 (2021): e2885-e2895. http://dx.doi.org/10.1212/wnl.0000000000012068.

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ObjectivesThe aim of this study was to develop an appropriate parametric survival model to predict patient's age at onset (AAO) for spinocerebellar ataxia type 3/Machado-Joseph disease (SCA3/MJD) populations from mainland China.MethodsWe compared the efficiency and performance of 6 parametric survival analysis methods (exponential, weibull, log-gaussian, gaussian, log-logistic, and logistic) based on cytosine-adenine-guanine (CAG) repeat length at ATXN3 to predict the probability of AAO in the largest cohort of patients with SCA3/MJD. A set of evaluation criteria, including −2 log-likelihood s

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Vahedi, Mohsen, Mahmood Mahmoodi, Kazem Mohammad, Sharzad Ossareh, and Hojjat Zeraati. "What Is the Best Parametric Survival Models for Analyzing Hemodialysis Data?" Global Journal of Health Science 8, no. 10 (2016): 118. http://dx.doi.org/10.5539/gjhs.v8n10p118.

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<p><strong>Background: </strong>Chronic kidney disease (CKD) and end-stage renal disease (ESRD) are both common public health problems worldwide. Hemodialysis (HD) is one of the main ultimate modalities of renal replacement therapy in these patients. The aim of this study was to compare the different parametric (Weibull, Gamma, Gompertz, Log-logistic and Lognormal) survival models, in maintenance HD (MHD) patients.</p><p><strong>Method: </strong>This study was conducted from March 2004 to October 2013 and encompassed 544 ESRD patients under MHD in Hash

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13

Ghofrani, Faeze, Qing He, Reza Mohammadi, Abhishek Pathak, and Amjad Aref. "Bayesian Survival Approach to Analyzing the Risk of Recurrent Rail Defects." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 7 (2019): 281–93. http://dx.doi.org/10.1177/0361198119844241.

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This paper develops a Bayesian framework to explore the impact of different factors and to predict the risk of recurrence of rail defects, based upon datasets collected from a US Class I railroad between 2011 and 2016. To this end, this study constructs a parametric Weibull baseline hazard function and a proportional hazard (PH) model under a Gaussian frailty approach. The analysis is performed using Markov chain Monte Carlo simulation methods and the fit of the model is checked using a Cox–Snell residual plot. The results of the model show that the recurrence of a defect is correlated with di

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Girum, Tadele, Ebrahim Muktar, and Abdulsemed Worku. "Comparative Analysis of the Survival Status and Treatment Outcome of Under-five Children Admitted with Severe Acute Malnutrition Among Hospital-based and Health Center Based Stabilization Centers, South Ethiopia." Open Public Health Journal 11, no. 1 (2018): 209–20. http://dx.doi.org/10.2174/1874944501811010209.

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Background:Severe acute malnutrition has been managed at Hospital stabilization centers until the management at health center based stabilization centers was started recently. However, the treatment outcome was not assessed in relation to the existing hospital-based management. Therefore, this study comparatively assessed the treatment outcome and survival status of severe acute malnutrition among Health center-based and hospital-based stabilization centers. The finding will be used by healthcare providers, planners and policymakers at large.Methods:Randomly selected 400 records of under-five

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Astudillo Ortiz, Jaime, Fabricio Lafebre Carrasco, and José Ortiz Segarra. "Factores de riesgo de la atrición dental severa: un estudio de casos y controles." Acta Odontológica Colombiana 9, no. 1 (2019): 9–23. http://dx.doi.org/10.15446/aoc.v9n1.76506.

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Objetivo: identificar los factores de riesgo de la atrición dental severa en pacientes que acudieron a instituciones de atención odontológica, públicas y privadas, de la ciudad de Cuenca, Ecuador. Materiales y métodos: fueron analizados 237 pacientes adultos, 79 casos con atrición dental grados 2, 3 y 4, según el índice de Smith y Knight, y 158 controles con atrición grados 0 y 1. Se realizó un examen clínico y fotográfico para determinar la relación entre la atrición dental y factores como edad, sexo, procedencia, número de dientes residuales, pH salival y bruxismo. Resultados: los pacientes

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Hoh, Brian L., Christopher L. Sistrom, Christopher S. Firment, et al. "BOTTLENECK FACTOR AND HEIGHT-WIDTH RATIO." Neurosurgery 61, no. 4 (2007): 716–23. http://dx.doi.org/10.1227/01.neu.0000298899.77097.bf.

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Abstract OBJECTIVE Determining factors predictive of the natural risk of rupture of cerebral aneurysms is difficult because of the need to control for confounding variables. We studied factors associated with rupture in a study model of patients with multiple cerebral aneurysms, one aneurysm that had ruptured and one or more that had not, in which each patient served as their own internal control. METHODS We collected aneurysm location, one-dimensional measurements, and two-dimensional indices from the computed tomographic angiograms of patients in the proposed study model and compared rupture

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Dewau, Reta, Amare Muche, Zinabu Fentaw, et al. "Time to initiation of antenatal care and its predictors among pregnant women in Ethiopia: Cox-gamma shared frailty model." PLOS ONE 16, no. 2 (2021): e0246349. http://dx.doi.org/10.1371/journal.pone.0246349.

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Background Timely initiating antenatal care (ANC) is crucial in the countries that have high maternal morbidity and mortality. However, in developing countries including Ethiopia, pregnant mother’s time to initiate antenatal care was not well-studied. Therefore, this study aimed to assess time to first ANC and its predictors among pregnant women in Ethiopia. Methods A community-based cross-sectional study was conducted among 7,543 pregnant women in Ethiopia using the Ethiopian Demographic Health Survey (EDHS), 2016 data. A two-stage stratified cluster sampling was employed. The Kaplan-Meier (K

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Kebede, Fassikaw, Nemera Eticha, Belete Negese, Mastewal Giza, Tadesse Tolossa, and Bizuneh Wakuma. "Predictors for a Cure Rate of Severe Acute Malnutrition 6-59 Month Children in Stabilizing Center at Pawe General Hospital, Northwest Ethiopia: Retrospective Cohort Study." International Journal of Child Health and Nutrition 10, no. 1 (2021): 34–43. http://dx.doi.org/10.6000/1929-4247.2021.10.01.5.

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Malnutrition (over and undernutrition) is a major public health problem across the globe, especially undernutrition is responsible for one-third of the death of children in underprivileged populations. Each year more than 25 to 35 million under-five children have suffered from Severe Acute Malnutrition (SAM). The sub-Saharan African countries account for the lion's share of this case fatality rate. The case in Ethiopia is not different from other countries. This study's main aim is to assess predictors for the cure rate of Severe Acute Malnutrition in 6-59 month Children in stabilizing center

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Tessema, Zemenu Tadesse, and Getayeneh Antehunegn Tesema. "Incidence of neonatal mortality and its predictors among live births in Ethiopia: Gompertz gamma shared frailty model." Italian Journal of Pediatrics 46, no. 1 (2020). http://dx.doi.org/10.1186/s13052-020-00893-6.

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Abstract Background Neonatal mortality remains a serious public health concern in developing countries including Ethiopia. Ethiopia is one of the countries with the highest neonatal mortality in Africa. However, there is limited evidence on the incidence and predictors of neonatal mortality at the national level. Therefore, this study aimed to investigate the incidence of neonatal mortality and its predictors among live births in Ethiopia. Investigating the incidence and predictors of neonatal mortality is essential to design targeted public health interventions to reduce neonatal mortality. M

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Zhou, Lei, Runzhi Huang, Ziheng Wei, Tong Meng, and Huabin Yin. "The Clinical Characteristics and Prediction Nomograms for Primary Spine Malignancies." Frontiers in Oncology 11 (February 26, 2021). http://dx.doi.org/10.3389/fonc.2021.608323.

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BackgroundPrimary spine malignancies (PSMs) are relatively rare in bone tumors. Due to their rarity, the clinical characteristics and prognostic factors are still ambiguous. In this study, we aim to identify the clinical features and proposed prediction nomograms for patients with PSMs.MethodsPatients diagnosed with PSMs including chordoma, osteosarcoma, chondrosarcoma, Ewing sarcoma, and malignant giant cell tumor of bone (GCTB) between 1975 and 2016 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. The patient and tumor characteristics were described based o

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Temesgen, Belisty, Getiye Dejenu Kibret, Nakachew Mekonnen Alamirew, et al. "Incidence and predictors of tuberculosis among HIV-positive adults on antiretroviral therapy at Debre Markos referral hospital, Northwest Ethiopia: a retrospective record review." BMC Public Health 19, no. 1 (2019). http://dx.doi.org/10.1186/s12889-019-7912-9.

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Abstract Background Tuberculosis is the leading cause of morbidity and mortality among people living with human immunodeficiency virus. Almost one-third of deaths among people living with human immunodeficiency virus are attributed to tuberculosis. Despite this evidence, in Ethiopia, there is a scarcity of information regarding the incidence and predictors of tuberculosis among people living with HIV. Thus, this study assessed the incidence and predictors of tuberculosis among HIV-positive adults on antiretroviral therapy. Methods This study was a retrospective record review including 544 HIV-

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