Rollins School of Public Health | Faculty Profile
Emory Rollins School of Public Health

Robert  Lyles

Professor

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 Program Office analytic team for the Bill and Melinda Gates Foundation-funded Child Health and Mortality Prevention Surveillance (CHAMPS) Network. 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.

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Contact Information

Rollins School of Public Health , 1518 Clifton Road NE

Atlanta , GA 30322

Phone: (404) 727-1310

Fax: (404) 727-1370

Email: rlyles@sph.emory.edu

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Areas of Interest

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

Education

  • 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 507: Applied Linear Models

Affiliations & Activities

American Statistical Association

International Biometric Society (ENAR)

Publications

  • , , Likelihood-based methods for regression analysis with binary exposure status assessed by pooling, Statistics in Medicine, in press,
  • , , Sensitivity Analysis for Misclassification in Logistic Regression via Likelihood Methods and Predictive Value Weighting, Statistics in Medicine, 29, 2297-2309
  • , , A Fresh Look at the Discriminant Function Approach for Estimating an Adjusted Odds Ratio, The American Statistician, 63, 320-327
  • , , A Conditional Expectation Approach for Associating Ambient Air Pollutant Exposures with Health Outcomes, Environmetrics, 202, 877-894
  • , , 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
  • , , A Practical Approach to Computing Power for Generalized Linear Models with Nominal, Count, or Ordinal Outcomes, Statistics in Medicine, 26, 1632-1648
  • , , Regression for Skewed Biomarker Outcomes Subject to Pooling, Biometrics, 70, 202-211
  • , , 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