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Estimation of risk ratios in case‐base studies with competing risks
Author(s) -
Flanders W. Dana,
Dersimonian Rebecca,
Rhodes Philip
Publication year - 1990
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780090413
Subject(s) - censoring (clinical trials) , statistics , computer science , estimation , econometrics , base (topology) , mathematics , economics , mathematical analysis , management
The case‐base study is a recently developed modification of the case‐control design that leads to risk ratio estimates. Currently available methods for the analysis of case‐base studies lead to estimates of the unconditional risk ratio which may be misleading if censoring occurs. In this manuscript, we describe an approach for the analysis of case‐base studies that yields conditional risk ratio estimates which remain valid in the presence of censoring. The approach we propose for estimating risk ratios and their standard errors involves a non‐iterative procedure.