Comparison of performance of exponential, Cox proportional hazards, weibull and frailty survival models for analysis of small sample size data
Christopher Stanley, ELIZABETH M. MOLYNEUX, Mavuto Mukaka
Abstract
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Christopher Stanley, ELIZABETH M. MOLYNEUX, Mavuto Mukaka
Abstract
Open-access reader
Introduction The Cox proportional hazards (PH) model is the most widely used approach in survival analysis of clinical trials because it requires few assumptions [1]. The model was proposed by Cox in 1972 for analysis of survival data with and without censoring; for identifying differences in survival
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Introduction The Cox proportional hazards (PH) model is the most widely used approach in survival analysis of clinical trials because it requires few assumptions [1]. The model was proposed by Cox in 1972 for analysis of survival data with and without censoring; for identifying differences in survival
Key concepts: Weibull distribution, Proportional hazards model, Statistics, Survival analysis, Sample size determination, Sample (material), Exponential function, Exponential distribution