A Note on Standard Errors for Survival Curves in Discrete-Time Survival Analysis
Rebecca Zwick and
Jeffrey C. Sklar
Journal of Educational and Behavioral Statistics, 2005, vol. 30, issue 1, 75-92
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.
Keywords: college graduation; hazard models; survival analysis (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.3102/10769986030001075 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:30:y:2005:i:1:p:75-92
DOI: 10.3102/10769986030001075
Access Statistics for this article
More articles in Journal of Educational and Behavioral Statistics
Bibliographic data for series maintained by SAGE Publications ().