Analysis of multiple exposures in the case-crossover design via sparse conditional likelihood-Reference-Cited by-同舟云学术

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Analysis of multiple exposures in the case-crossover design via sparse conditional likelihood

Published:2012-03-15 Issue:21 Volume:31 Page:2290-2302
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Avalos Marta¹²,Grandvalet Yves³,Adroher Nuria Duran²⁴,Orriols Ludivine¹²,Lagarde Emmanuel¹²

Affiliation:

1. ISPED, Centre INSERM U897-Epidemiologie-Biostatistique; Univ. Bordeaux; F-33000 Bordeaux France

2. INSERM, ISPED; Centre INSERM U897-Epidemiologie-Biostatistique; F-33000 Bordeaux France

3. Université de Technologie de Compiègne; CNRS, Heudiasyc UMR6599; France

4. Agrocampus Ouest; Rennes France

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.5344/fullpdf

Reference46 articles.

1. The case-crossover design: a method for studying transient effects on the risk of acute event;Maclure;American journal of epidemiology,1991

2. Should we use a case-crossover design?;Maclure;Annual review of public health,2000

3. Exposure and risk factors among elderly drivers: a case-Control study;Lefrancois;Accident Analysis and Prevention,1997

4. Regression shrinkage and selection via the lasso;Tibshirani;Journal of the Royal Statistical Society, Series B,1996

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1. High-Dimensional Propensity Score-Adjusted Case-Crossover for Discovering Adverse Drug Reactions from Computerized Administrative Healthcare Databases;Drug Safety;2022-02-18

2. The case-crossover design via penalized regression;BMC Medical Research Methodology;2016-08-22

3. Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm;BMC Bioinformatics;2015-04-17

4. High–Dimensional Sparse Matched Case–Control and Case–Crossover Data: A Review of Recent Works, Description of an R Tool and an Illustration of the Use in Epidemiological Studies;Computational Intelligence Methods for Bioinformatics and Biostatistics;2014

5. Variable selection on large case-crossover data: application to a registry-based study of prescription drugs and road traffic crashes;Pharmacoepidemiology and Drug Safety;2013-10-18

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