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American Journal of Epidemiology|February 1, 2002
Estimating crude or common odds ratios in case-control studies with informatively missing exposure dataRobert H Lyles, Andrew S AllenStatistics in Medicine|February 19, 2003
Missing data in the 2 x 2 table: patterns and likelihood-based analysis for cross-sectional studies with supplemental samplingRobert H Lyles, Andrew S AllenStatistics in Medicine|February 8, 2006
Inference for case-control studies when exposure status is both informatively missing and misclassifiedRobert H Lyles, Andrew S Allen, W Dana Flanders, et al.Biometrics|December 24, 2002
A note on estimating crude odds ratios in case-control studies with differentially misclassified exposureRobert H LylesJournal of Agricultural, Biological, and Environmental Statistics|August 25, 2025
New capture-recapture models of behavioral response for estimating the size of a closed animal populationYuzi Zhang, Robert H LylesStatistics in Medicine|February 24, 2015
Accounting for informatively missing data in logistic regression by means of reassessment samplingJi Lin, Robert H LylesStatistics in Medicine|June 17, 2010
Sensitivity analysis for misclassification in logistic regression via likelihood methods and predictive value weightingRobert H Lyles, Ji LinJournal of Agricultural, Biological, and Environmental Statistics|September 13, 2013
Approximate and Pseudo-Likelihood Analysis for Logistic Regression Using External Validation Data to Model Log ExposureRobert H Lyles, Lawrence L KupperEpidemiology (Cambridge, Mass.)|October 1, 2019
Formulas and Web Application for Designing a Biospecimen Pooling Study to Compare Group MeansDane R Van Domelen, Robert H LylesJournal of Statistical Planning and Inference|September 11, 2012
Reducing Bias and Mean Squared Error Associated With Regression-Based Odds Ratio EstimatorsRobert H Lyles, Ying Guo, Sander GreenlandPageof 21