Results 11 to 20 of about 414,926 (263)
Survival Analysis, Kaplan-Meier Curves, and Cox Regression: Basic Concepts
Indian Journal of Psychological Medicine, 2023 Survival analysis is used to analyze data from patients who are followed for different periods of time and in whom the outcome of interest, a dichotomous event, may or may not have occurred at the time the study is halted; data from all patients are used
Chittaranjan Andrade
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Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method
Jurnal Ilmu Keuangan dan Perbankan, 2022 The aim of this research was conducted to determine the factors that influence the resilience of car loan debtors in an area. The research method used is semiparametric Cox regression on secondary data, WAREHOUSE consisting of the customer profile ...
Vitri Aprilla Handayani* +3 more
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Factors associated with methadone treatment duration: a Cox regression analysis. [PDF]
PLoS ONE, 2015 This study examined retention rates and associated predictors of methadone maintenance treatment (MMT) duration among 128 newly admitted patients in Taiwan. A semi-structured questionnaire was used to obtain demographic and drug use history.
Chao-Kuang Lin +4 more
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Stepwise cox regression analysis in SPSS
Cancer Research, Statistics, and Treatment, 2018 This article is a beginners' guide for performing Cox regression analysis in SPSS. The article provides practical steps toward performing Cox analysis and interpreting the output of SPSS for Cox regression analysis.
Sampada Dessai, Vijai Simha, Vijay Patil
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Weighted Cox regression for the prediction of heterogeneous patient subgroups
BMC Medical Informatics and Decision Making, 2021 Background An important task in clinical medicine is the construction of risk prediction models for specific subgroups of patients based on high-dimensional molecular measurements such as gene expression data.
Katrin Madjar, Jörg Rahnenführer
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COX PROPORTIONAL HAZARD REGRESSION SURVIVAL ANALYSIS FOR TYPE 2 DIABETES MELITUS
Barekeng, 2022 One of the most widely used methods of survival analysis is Cox proportional hazard regression. It is a semiparametric regression used to investigate the effects of a number of variables on the dependent variable based on survival time.
Umi Mahmudah +4 more
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Model Uncertainty Quantification in Cox Regression
Biometrics, 2023 Abstract We consider covariate selection and the ensuing model uncertainty aspects in the context of Cox regression. The perspective we take is probabilistic, and we handle it within a Bayesian framework. One of the critical elements in variable/model selection is choosing a suitable prior for model parameters.
Gonzalo García-Donato +2 more
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Survival Analysis II: Cox Regression [PDF]
Nephron Clinical Practice, 2011 In contrast to the Kaplan-Meier method, Cox proportional hazards regression can provide an effect estimate by quantifying the difference in survival between patient groups and can adjust for confounding effects of other variables. The purpose of this article is to explain the basic concepts of the Cox regression method, and to provide some guidance ...
Stel, V.S. +4 more
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Testing and interpreting assumptions of COX regression analysis
Cancer Research, Statistics, and Treatment, 2019 The COX regression analysis is like any statistical test that is based on multiple assumptions. This is a guide for how to test the assumptions and how to interpret the results.
Sampada Dessai, Vijay Patil
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Российский кардиологический журнал, 2021 The absence of consensus regarding the reference values of right ventricular free wall longitudinal strain (RVFWLS) and its predictive value prompted us to conduct a systematic review and meta-analysis of publications on the predictive role of this ...
E. Z. Golukhova +6 more
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