Covariate Density Defined Mixtures of General Linear Models: Is Birth Weight on the Causal Pathway to Infant Mortality?

 

 


Timothy B. Gage, tbg97@albany.edu
University at Albany, The State University of New York
Department of Anthropology
Department of Epidemiology

Other Collaborators: Fu Fang, Erin O'Neill, Howard Stratton

Using the covariate density defined mixtures of general linear models method of analyzing birth weight and infant mortality addresses two problems standard analysis of birth weight and infant mortality cannot:

    1. Some covariates of infant mortality may be mediated by other covariates

    2. Birth cohorts are heterogeneous

More information on the study of birth weight and infant mortality, including discussions of history and causality can be found on Allen Wilcox's webpage, An Analysis of Birth Weight (http://eb.niehs.nih.gov/bwt/index.htm)

 


Acknowledgement:

Support for this research was provided by a grant to Timothy Gage from NICHD (HD37405). Support was also provided by grants to the Center for Social and Demographic Analysis from NICHD (P30 HD32041) and NSF (SBR-9512290). Opinions, findings, and conclusions expressed here are those of the author and do not necessarily reflect the views of the funding agencies.