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Sociological Methods & Research
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Logistic Regression Multivariate Life Tables

A Communicable Approach

DAVID K. GUILKEY

University of North Carolina—Chapel Hill

RONALD R. RINDFUSS

University of North Carolina—Chapel Hill

The use of logistic regression to estimate a discrete-time hazard model is discussed. The derivation of linkage between the results of the estimation of the logistic regression equations and the summary measures of the life table is presented. We argue that the method is responsive to the needs of a variety of researchers, requires few assumptions, and is straightforward to implement. An example is presented where the determinants of the timing of entry into motherhood in eight Asian countries is analyzed.

Sociological Methods & Research, Vol. 16, No. 2, 276-300 (1987)
DOI: 10.1177/0049124187016002004
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