Rollins School of Public Health | Faculty Profile
Emory Rollins School of Public Health
Return to Faculty Listing

Robert  Lyles


Faculty, Biostatistics and Bioinformatics

Dr. Robert Lyles is a Professor in the Department of Biostatistics and Bioinformatics in Emory University’s Rollins School of Public Health. He is currently Director of the Biostatistics and Bioinformatics Core of Emory’s Center for AIDS Research, and is a member of the Biostatistics, Epidemiology and Research Design Core Program of the Georgia Clinical and Translational Science Alliance (CTSA). Dr. Lyles is a Fellow of the American Statistical Association with ongoing interests in statistical methods applicable to epidemiological studies, including missing and mismeasured data problems encountered with surveillance data obtained in mortality and morbidity studies and with laboratory assay data used in HIV and environmental research.

View Resume

Contact Information

Rollins School of Public Health , 1518 Clifton Road NE

Atlanta , GA 30322

Phone: (404) 727-1310

Fax: (404) 727-1370


Update Profile

Areas of Interest

  • Biomarkers
  • Biostatistics
  • Longitudinal Analysis
  • Missing and Mismeasured Data
  • Statistical Modeling


  • PhD 1996, University of North Carolina
  • MS 1991, University of North Carolina
  • BS 1988, Vanderbilt University

Courses Taught

  • BIOS 736: Stats Analy W/Missing&Mismeasu
  • BIOS 509: Applied Linear Models

Affiliations & Activities

American Statistical Association

International Biometric Society (ENAR)


  • , , An Efficient Design Strategy for Logistic Regression Using Outcome- and Covariate-dependent Pooling of Biospecimens Prior to Assay, Biometrics, 72, 965-975
  • , , Regression Analysis for Differentially Misclassified Correlated Binary Outcomes , Journal of the Royal Statistical Society, Series C, 64, 433-449
  • , , Regression for Skewed Biomarker Outcomes Subject to Pooling, Biometrics, 70, 202-211
  • , , Sensitivity Analysis for Misclassification in Logistic Regression via Likelihood Methods and Predictive Value Weighting, Statistics in Medicine, 29, 2297-2309
  • , , A Conditional Expectation Approach for Associating Ambient Air Pollutant Exposures with Health Outcomes, Environmetrics, 202, 877-894
  • , , A Fresh Look at the Discriminant Function Approach for Estimating an Adjusted Odds Ratio, The American Statistician, 63, 320-327
  • , , A Practical Approach to Computing Power for Generalized Linear Models with Nominal, Count, or Ordinal Outcomes, Statistics in Medicine, 26, 1632-1648
  • , , Improving Point Predictions of Random Effects for Subjects at High Risk, Statistics in Medicine, 26, 1285-1300
  • , , Extending McNemar’s Test: Estimation and Inference When Paired Binary Outcome Data are Misclassified, Biometrics, 61, 287-294
  • , , Likelihood-based methods for regression analysis with binary exposure status assessed by pooling, Statistics in Medicine, in press,