Fitting general relative risk models for survival time and matched case-control analysis.
B. Langholz, and D. Richardson. American journal of epidemiology, 171 (3):
377-83(February 2010)5491<m:linebreak></m:linebreak>JID: 7910653; aheadofprint;.
DOI: 10.1093/aje/kwp403
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).
%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
}