%0 Journal Article %1 Lindsey2000 %A Lindsey, J K %D 2000 %J Statistics in medicine %K AgeFactors BinomialDistribution Case-ControlStudies LikelihoodFunctions LinearModels LogisticModels %N 1 %P 35-44 %T Directly modelling matched case-control data. %U http://www.ncbi.nlm.nih.gov/pubmed/10623911 %V 19 %X Matching in case-control studies is a situation in which one wishes to make inferences about a parameter of interest in the presence of nuisance parameters. The usual approach is to apply a conditional likelihood. A bivariate latent class log-linear model for binomial responses is shown to yield a standard likelihood identical to the usual conditional one. This extension of the Rasch model for binary responses gives consistent estimates and a suitable likelihood function for cases matched with any fixed number of controls.

@article{Lindsey2000, abstract = {Matching in case-control studies is a situation in which one wishes to make inferences about a parameter of interest in the presence of nuisance parameters. The usual approach is to apply a conditional likelihood. A bivariate latent class log-linear model for binomial responses is shown to yield a standard likelihood identical to the usual conditional one. This extension of the Rasch model for binary responses gives consistent estimates and a suitable likelihood function for cases matched with any fixed number of controls.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Lindsey, J K}, biburl = {https://www.bibsonomy.org/bibtex/2b55e5266323e37e8e3f56b99486a1596/jepcastel}, interhash = {b427a8e564724a32af7853145874ae01}, intrahash = {b55e5266323e37e8e3f56b99486a1596}, issn = {0277-6715}, journal = {Statistics in medicine}, keywords = {AgeFactors BinomialDistribution Case-ControlStudies LikelihoodFunctions LinearModels LogisticModels}, month = {1}, note = {2691<m:linebreak></m:linebreak>Mesures d&#039;associació}, number = 1, pages = {35-44}, pmid = {10623911}, timestamp = {2023-02-03T11:44:35.000+0100}, title = {Directly modelling matched case-control data.}, url = {http://www.ncbi.nlm.nih.gov/pubmed/10623911}, volume = 19, year = 2000 }