A Note on Penalized Regression Spline Estimation in the Secondary Analysis of Case-Control Data. Academic Article

abstract

• Primary analysis of case-control studies focuses on the relationship between disease (D) and a set of covariates of interest (Y, X). A secondary application of the case-control study, often invoked in modern genetic epidemiologic association studies, is to investigate the interrelationship between the covariates themselves. The task is complicated due to the case-control sampling, and to avoid the biased sampling that arises from the design, it is typical to use the control data only. In this paper, we develop penalized regression spline methodology that uses all the data, and improves precision of estimation compared to using only the controls. A simulation study and an empirical example are used to illustrate the methodology.

authors

• Carroll, Raymond

published proceedings

• Stat Biosci

author list (cited authors)

• Gazioglu, S., Wei, J., Jennings, E. M., & Carroll, R. J.

citation count

• 2

complete list of authors

• Gazioglu, Suzan||Wei, Jiawei||Jennings, Elizabeth M||Carroll, Raymond J

publication date

• November 2013

publisher

• Springer Nature  Publisher

published in

• Statistics in Biosciences  Journal

keywords

• B-splines
• Biased Samples
• Homoscedastic Regression
• Nonparametric Regression
• Regression Splines
• Secondary Data
• Secondary Phenotypes
• Two-stage Samples

PubMed Central ID

• 24707323

Digital Object Identifier (DOI)

• 10.1007/s12561-013-9094-9

start page

• 250

end page

• 260

volume

• 5

issue

• 2

URL

• http%3A%2F%2Fdx.doi.org%2F10.1007%2Fs12561-013-9094-9