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A Note on Standard Errors for Survival Curves in Discrete-Time Survival Analysis

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  • Rebecca Zwick
  • Jeffrey C. Sklar

Abstract

Cox (1972) proposed a discrete-time survival model that is somewhat analogous to the proportional hazards model for continuous time. Efron (1988) showed that this model can be estimated using ordinary logistic regression software, and Singer and Willett (1993) provided a detailed illustration of a particularly flexible form of the model that includes one parameter per time period. This work has been expanded to show how logistic regression output can also be used to estimate the standard errors of the survival functions. This is particularly simple under the model described by Singer and Willett, when there are no predictors other than time.

Suggested Citation

  • Rebecca Zwick & Jeffrey C. Sklar, 2005. "A Note on Standard Errors for Survival Curves in Discrete-Time Survival Analysis," Journal of Educational and Behavioral Statistics, , vol. 30(1), pages 75-92, March.
    • Handle: RePEc:sae:jedbes:v:30:y:2005:i:1:p:75-92
    DOI: 10.3102/10769986030001075
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