survival analysis

Introduction: The most important models used in analysis of survival data is proportional hazards models. Applying this model requires establishment of the relevance proportional hazards assumption, otherwise it world lead to incorrect inference. This study aims to evaluate Cox and Weibull models which are used in identification of effective factors on survival time in acute leukemia. Me...

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cox models survival analysis based on breast cancer treatments

Journal: :iranian journal of cancer prevention 0

alireza abadi dept. of health and community medicine, school of medicine, shahid beheshti university of medical sciences, tehran, iran parvin yavari dept. of health and community medicine, school of medicine, shahid beheshti university of medical sciences, tehran, iran monireh dehghani dept. of biostatistics, paramedical sciences faculty, shahid beheshti university of medical sciences, tehran, iran hamid alavi majd dept. of biostatistics, paramedical sciences faculty, shahid beheshti university of medical sciences, tehran, iran erfan ghasemi shahid beheshti university of medical sciences, tehran, iran. farzaneh amanpour dept. of biostatistics, paramedical sciences faculty, shahid beheshti university of medical sciences, tehran, iran

background: the aim of this study is to evaluate the association between different treatments and survival time of breast cancer patients using either standard cox model or stratified cox model. methods: the study was conducted on 15830 women diagnosed with breast cancer in british columbia, canada. they were divided into eight groups according to patients’ ages and stage of disease either cox...

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evaluation of parametric models by the prediction error in colorectal cancer survival analysis

Journal: :gastroenterology and hepatology from bed to bench 0

ahmad reza baghestani department of biostatistics, faculty of paramedical sciences, shahid beheshti university of medical sciences, tehran, iran mahmood reza gohari department of biostatistics, iran university of medical sciences, tehran, iran arezoo orooji department of biostatistics, faculty of paramedical sciences, shahid beheshti university of medical sciences, tehran, iran mohamad amin pourhoseingholi gastroenterology and liver diseases research center, shahid beheshti university of medical sciences, tehran, iran

background and objectives: survival models are statistical technique to estimate or predict the overall time up to specific events. prediction is important in medical science and the accuracy of prediction is determined by a measurement, generally based on loss functions, called prediction error. the aim of this study is using parametric models to determine the factors influencing predicted sur...

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