@article{ref1,
title="The analysis of pair-matched case-control studies, a multivariate approach",
journal="Biometrics",
year="1978",
author="Holford, Theodore R.",
volume="34",
number="4",
pages="665-672",
abstract="In matched case-control studies one frequently must consider more than one variable in the analysis and in this paper a log-linear model is presented to meet this objective. A conditional argument yields a method for making inferences on the parameters measuring the association between the variables and disease. The result is similar to the problem of fitting a Bradley-Terry model when one has paired comparisons. Two methods of obtaining maximum conditional likelihood estimates of the parameters are possible: (i) fitting a quasi-independence model in the usual log-linear models context and (ii) fitting a linear logistic model. The results are illustrated with examples.<p /><p>Language: en</p>",
language="en",
issn="0006-341X",
doi="",
url="http://dx.doi.org/"
}