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- W2129282910 abstract "Several variable selection procedures are available for continuous time-to-event data. However, if time is measured in a discrete way and therefore many ties occur models for continuous time are inadequate. We propose penalized likelihood methods that perform efficient variable selection in discrete survival modeling with explicit modeling of the heterogeneity in the population. The method is based on a combination of ridge and lasso type penalties that are tailored to the case of discrete survival. The performance is studied in simulation studies and an application to the birth of the first child." @default.
- W2129282910 created "2016-06-24" @default.
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- W2129282910 date "2016-03-14" @default.
- W2129282910 modified "2023-10-14" @default.
- W2129282910 title "Variable selection in discrete survival models including heterogeneity" @default.
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- W2129282910 doi "https://doi.org/10.1007/s10985-016-9359-y" @default.
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