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John Williamson
Adjunct Associate Professor
Adjunct or Visiting, Biostatistics and Bioinformatics
I work in the Division of Parasitic Diseases and Malaria at the Centers for Disease Control and Prevention. My research interests include relative survival analysis, longitudinal data analysis, and agreement analysis. My statistical methods work is often motivated from my infectious disease collaboration at the CDC.
Areas of Interest
- Biostatistics
- Infectious Disease
Education
- BS 1986, Rensselaer Polytechnic Institute
- MS 1989, University of North Carolina at Chapel Hill
- ScD 1993, Harvard University School of Public Health
Publications
- Lin H-M, Williamson JM, Kim H-Y , 2020, Firth adjustment for Weibull current-status survival analysis., Communications in Statistics - Theory and Methods, 49, 4587-4602
- Kim H-Y, Williamson JM, Lin H-M , 2016, Power and sample size calculations for interval-censored survival analysis., Statistics in Medicine, 38, 1390-1400
- Lin H-M and Williamson JM , 2015, A simple approach for sample size calculation for comparing two concordance correlation coefficients estimated on the same subjects., Journal of Biopharmaceutical Statistics , 25, 1145-1160
- Lin H-M, Kim H-Y, Williamson JM, and Lesser V , 2012, Estimating agreement coefficients from sample survey data., Survey Methodology , 38, 63-72
- Lyles RH, Lin H-M, and Williamson JM , 2007, A Practical approach to computing power for generalized linear models with nominal, count, or ordinal responses., Statistics in Medicine , 26, 1632-1648
- Wang M and Williamson JM , 2005, Generalization of the Mantel-Haenszel estimating function for sparse clustered binary data. , Biometrics, 61, 973-981
- Wang M, Williamson JM, and Redline S , 2004, A semiparametric method for analyzing matched case-control family studies with a continuous outcome and proband sampling. , Biometrics, 60, 644-650
- Stall R, Mills TC, Williamson JM, Hart T, Greenwood G, Paul J, Pollack L, Binson D, Osmond D, Catania JA , 2003, Association of co-occurring psychosocial health problems and increased vulnerability to HIV/AIDS among urban men who have sex with men. , American Journal of Public Health , 93, 939-942
- Williamson JM, Datta S, and Satten GA , 2003, Marginal analyses of clustered data when cluster size is informative. , Biometrics, 59, 36-42
- Williamson JM, Kim K, and Lipsitz SR, 1995, Analyzing bivariate ordinal data using a global odds ratio. Journal of the American Statistical Association , Theory and Methods , 90, 1432-1437