نتایج جستجو برای: stratifi ed cox proportional hazards model

تعداد نتایج: 2242673  

2002
INGER PERSSON

Persson, I. 2002. Essays on the Assumption of Proportional Hazards in Cox Regression. Acta Universitatis Upsaliensis. Comprehensive Summaries of Uppsala Dissertations from the Faculty of Social Sciences 110. 36 pp. Uppsala. ISBN 91-554-5208-6. This thesis consists of four papers about the assumption of proportional hazards for the Cox model in survival analysis. The first paper compares the haz...

Journal: :acta medica iranica 0
ramin ravangard department of health management and economics, school of public health, tehran university of medical sciences, tehran, iran. mohamad arab department of health management and economics, school of public health, tehran university of medical sciences, tehran, iran. arash rashidian department of health management and economics, school of public health, tehran university of medical sciences, tehran, iran. ali akbarisari department of health management and economics, school of public health, tehran university of medical sciences, tehran, iran. ali zare department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran. hojjat zeraati department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran.

survival analysis is a set of methods used for analysis of the data which exist until the occurrence of an event. this study aimed to compare the results of the use of the semi-parametric cox model with parametric models to determine the factors influencing the length of stay of patients in the inpatient units of women hospital in tehran, iran. in this historical cohort study all 3421 charts of...

Journal: :Communications in Statistics - Theory and Methods 2009

2010

Choose the Cox proportional hazards regression model if the values in your dependent variable are duration observations. The advantage of the semi-parametric Cox proportional hazards model over fully parametric models such as the exponential or Weibull models is that it makes no assumptions about the shape of the baseline hazard. The model only requires the proportional hazards assumption that ...

Journal: :iranian journal of public health 0
ali zare dept. of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran. mostafa hosseini dept. of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran. mahmood mahmoodi dept. of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran. kazem mohammad dept. of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran. hojjat zeraati dept. of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran. kourosh holakouie-naieni dept. of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran.

background : gastric cancer is the one of the most prevalent reason of cancer-related death in the world. survival of patients after surgery involves identifying risk factors. there are various models to detect the effect of risk factors on patients’ survival. the present study aims at evaluating these models. methods : data from 330 gastric cancer patients diagnosed at the iran cancer institut...

2009

Choose the Cox proportional hazards regression model if the values in your dependent variable are duration observations. The advantage of the semi-parametric Cox proportional hazards model over fully parametric models such as the exponential or Weibull models is that it makes no assumptions about the shape of the baseline hazard. The model only requires the proportional hazards assumption that ...

2010

Choose the Cox proportional hazards regression model if the values in your dependent variable are duration observations. The advantage of the semi-parametric Cox proportional hazards model over fully parametric models such as the exponential or Weibull models is that it makes no assumptions about the shape of the baseline hazard. The model only requires the proportional hazards assumption that ...

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