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Showing 1 to 3 of 3 for “"Discrete survival models"”.
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Variable selection in discrete survival models
… subset model. However, variable selection for discrete survival analysis poses many challenges due to a complicated data structure. Survival data might have unobserved heterogeneity leading to biased estimates when not taken into account. Conventional variable selection methods have stability …
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A comparison of some methods of modeling baseline hazard function in discrete survival models
The baseline parameter vector in a discrete-time survival model is determined by the number of time points. The larger the number of the time points, the higher the dimension of the baseline parameter vector which often leads to biased maximum likelihood estimates. One of the ways to overcome this …
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Discrete survival models with flexible link functions for age at first marriage among woman in Swaziland
… explores the use of exible link functions in discrete survival models through a simulation study and an application to the Swaziland Demographic and Health Survey (SDHS) data. The objective of the research study is to perform simulation exercises in order to compare the e ectiveness of di …