%0 Journal Article %1 Langholz2010 %A Langholz, Bryan %A Richardson, David B %D 2010 %J American journal of epidemiology %K AirPollutants Case-ControlStudies Colorado Colorado:epidemiology Humans LogisticModels LungNeoplasms LungNeoplasms:mortality Mining Occupational OccupationalExposure OddsRatio ProportionalHazardsModels SurvivalAnalysis Uranium %N 3 %P 377-83 %R 10.1093/aje/kwp403 %T Fitting general relative risk models for survival time and matched case-control analysis. %U http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3291085&tool=pmcentrez&rendertype=abstract %V 171 %X Cox proportional hazards regression analysis of survival data and conditional logistic regression analysis of matched case-control data are methods that are widely used by epidemiologists. Standard statistical software packages accommodate only log-linear model forms, which imply exponential exposure-response functions and multiplicative interactions. In this paper, the authors describe methods for fitting non-log-linear Cox and conditional logistic regression models. The authors use data from a study of lung cancer mortality among Colorado Plateau uranium miners (1950-1982) to illustrate these methods for fitting general relative risk models to matched case-control control data, countermatched data with weights, d:m matching, and full cohort Cox regression using the SAS statistical package (SAS Institute Inc., Cary, North Carolina). %@ 1476-6256; 1476-6256

@article{Langholz2010, abstract = {Cox proportional hazards regression analysis of survival data and conditional logistic regression analysis of matched case-control data are methods that are widely used by epidemiologists. Standard statistical software packages accommodate only log-linear model forms, which imply exponential exposure-response functions and multiplicative interactions. In this paper, the authors describe methods for fitting non-log-linear Cox and conditional logistic regression models. The authors use data from a study of lung cancer mortality among Colorado Plateau uranium miners (1950-1982) to illustrate these methods for fitting general relative risk models to matched case-control control data, countermatched data with weights, d:m matching, and full cohort Cox regression using the SAS statistical package (SAS Institute Inc., Cary, North Carolina).}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Langholz, Bryan and Richardson, David B}, biburl = {https://www.bibsonomy.org/bibtex/2909f5cea1339fddd8381f940245d1820/jepcastel}, doi = {10.1093/aje/kwp403}, interhash = {41702abe3c45a4d53832e5f3d251d20e}, intrahash = {909f5cea1339fddd8381f940245d1820}, isbn = {1476-6256; 1476-6256}, issn = {1476-6256}, journal = {American journal of epidemiology}, keywords = {AirPollutants Case-ControlStudies Colorado Colorado:epidemiology Humans LogisticModels LungNeoplasms LungNeoplasms:mortality Mining Occupational OccupationalExposure OddsRatio ProportionalHazardsModels SurvivalAnalysis Uranium}, month = {2}, note = {5491<m:linebreak></m:linebreak>JID: 7910653; aheadofprint;}, number = 3, pages = {377-83}, pmid = {20044379}, timestamp = {2023-02-03T11:44:35.000+0100}, title = {Fitting general relative risk models for survival time and matched case-control analysis.}, url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3291085&tool=pmcentrez&rendertype=abstract}, volume = 171, year = 2010 }