PSC In The News
Bailey and Dynarski cited in piece on why quality education should be a "civil and moral right"
Kalousova and Burgard find credit card debt increases likelihood of foregoing medical care
Highlights
Arline Geronimus wins Excellence in Research Award from School of Public Health
Yu Xie to give DBASSE's David Lecture April 30, 2013 on "Is American Science in Decline?"
U-M grad programs do well in latest USN&WR "Best" rankings
Sheldon Danziger named president of Russell Sage Foundation
Back in September
Follow us Log-Multiplicative Models for Discrete-Time, Discrete-Covariate Event-History Data
Xie, Yu. 1994. "Log-Multiplicative Models for Discrete-Time, Discrete-Covariate Event-History Data." Sociological Methodology, 24: 301-340.
In this paper, the author develops a new class of discrete-time, discrete-covariate models for modeling nonproportionality in event-history data within the log-multiplicative framework. The models specify nonproportionality in hazards to be a log-multiplicative product of two components: a nonproportionality pattern over time and a nonproportionality level per group. Illustrated with data from the U.S. National Longitudinal Mortality Study (Rogot et al. 1988) and from the the 1988 June Current Population Survey (Wu and Tuma 1990), the log-multiplicative models are shown to be natural generalizations of proportional hazards models and should be applicable to a wide range of research areas.
Browse | Search : All Pubs | Next