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Ankara Üniversitesi Tıp Fakültesi Mecmuası, 2005 Tipta, salgin hastaliklara ve kronik hastaliklara iliskin verilerin incelenmesinde ve bu hastaliklari et- kileyen faktorlerin saptanmasinda yasam cozumlemesi Cox regresyon modeli oldukca onemlidir. Ancak, zamanla degisen aciklayici degiskenler oldugunda Cox regresyon modeli yerine zamana bagli aciklayici degiskenli Cox regresyon modeli uygun olmaktadir.
Durdu Sertkaya
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Metformin Treatment and Cancer Risk: Cox Regression Analysis, With Time-Dependent Covariates, of 320,000 Persons With Incident Diabetes Mellitus [PDF]
American Journal of Epidemiology, 2019 Abstract There is conflicting evidence regarding the association between metformin use and cancer risk in diabetic patients. During 2002–2012, we followed a cohort of 315,890 persons aged 21–87 years with incident diabetes who were insured by the largest health maintenance organization in Israel.
Rachel Dankner +6 more
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Updating prognosis in primary biliary cirrhosis using a time-dependent Cox regression model
Gastroenterology, 1993 Abstract Background: The precision of current prognostic models in primary biliary cirrhosis (PBC) is rather low, partly because they are based on data from just one time during the course of the disease. The aim of this study was to design a new, more precise prognostic model by incorporating follow-up data in the development of the model. Methods:
Erik Christensen +5 more
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Survival analysis: part II – applied clinical data analysis [PDF]
Korean Journal of Anesthesiology, 2019 As a follow-up to a previous article, this review provides several in-depth concepts regarding a survival analysis. Also, several codes for specific survival analysis are listed to enhance the understanding of such an analysis and to provide an ...
Junyong In, Dong Kyu Lee
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Cognitive impairment and all‐cause mortality among Chinese adults aged 80 years or older
Brain and Behavior, 2021 Objectives The oldest‐old (aged ≥80 years) are the fastest growing population segment and age is related to cognitive impairment. We aimed to estimate the association between cognitive impairment and all‐cause mortality, in addition to the relationship ...
Yaxi Li +5 more
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Cancer Control, 2022 Background Because of multiple competing death outcomes and time-varying coefficients, using a Cox regression model to analyze the prognostic factors of low-grade gliomas (LGG) may lead to a possible bias.
Kaiwei Cai +6 more
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Gene selection in cox regression model based on a new adaptive elastic net penalty [PDF]
المجلة العراقية للعلوم الاحصائية, 2020 Regression analysis is great of interest in several studies, especially in medicine. The Cox regression model is one of the most important models of regression used in the medical field.
Oday Alskal, Zakariya Algamal
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Journal of Clinical and Translational Science, 2023 Background: Time-dependent Cox proportional hazards regression is a popular statistical method used in kidney disease research to evaluate associations between biomarkers collected serially over time with progression to kidney failure.
Lisa E. Vaughan +3 more
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Statistical methods for elimination of guarantee-time bias in cohort studies: a simulation study
BMC Medical Research Methodology, 2017 Background Aspirin has been considered to be beneficial in preventing cardiovascular diseases and cancer. Several pharmaco-epidemiology cohort studies have shown protective effects of aspirin on diseases using various statistical methods, with the Cox ...
In Sung Cho +6 more
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