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

Michael  Haber

Professor

Faculty, Biostatistics and Bioinformatics

Dr. Michael Haber joined the faculty of the Emory Biostatistics Department in 1983. Since then, his research has been mainly devoted to developing stochastic models and statistical methods related to the analysis of infectious diseases data. Over the past 20+ years, his research has focused on estimating parameters related to the direct, indirect and overall effects of vaccines and vaccination programs. These methods have been applied to data from observational studies and clinical trials on influenza, pneumococcal, rotavirus and other infectious diseases.

Dr. Haber was the Principle Investigator on four NIH R01 grants and on numerous other grants and contracts. He published over 130 peer-reviewed papers and a few book chapters.   

Dr. Haber taught courses in probability theory, statistical inference, and on analysis of categorical, survival and infectious diseases data. He directed numerous PhD dissertations and Master theses.  

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Contact Information

Rollins School of Public Health ,

Atlanta , GA 30322

1518 Clifton Road NE

Phone: (404) 727-7698

Fax: (404) 727-1370

Email: mhaber@emory.edu

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Areas of Interest

  • Infectious Disease
  • Statistical Modeling
  • Vaccines
  • Biostatistics
  • Infectious Disease Dynamics
  • Data Science
  • Survival Analysis

Education

  • PhD 1976, Hebrew University, Jerusalem

Courses Taught

  • BIOS 524: Analytic Meth/Infect Disease

Affiliations & Activities

Dr. Haber's main research area involves application of stochastic models and statistical methods related to infectious diseases. He currently works on study designs and statistical methods for esimating vaccine effectiveness

Publications

  • , , Maximum likelihood methods for log-linear models when expected frequencies are subject to linear constraints, Journal of the American Statistical Association, 81, 477-482
  • , , Coefficients of agreement for fixed observers., Statistical Methods in Medical Research, 15, 255-271
  • , , Estimation of the direct and indirect effects of vaccination., Statistics in Medicine, 18, 2101-2109
  • , , Health consequences of religious and philosophical exemptions from immunization laws: Individual and social risk of measles., Journal of American Medical Association , 282, 47-53
  • , , The effect of disease prior to an outbreak on estimation of vaccine efficacy following the outbreak, American Journal of Epidemiology, 141, 980-990
  • , , A dynamic model for evaluation of the bias of influenza vaccine effectiveness estimates from observational studies. , American Journal of Epidemiology, 188, 451-460
  • , , Bias of influenza vaccine effectiveness estimates from test-negative studies conducted during an influenza pandemic. , Vaccine, 37, 1987-1993
  • , , Challenges in estimating influenza vaccine effectiveness, Expert Reviews of Vaccines, ,
  • , , Maximum likelihood estimation of influenza vaccine effectiveness against transmission from the household and from the community, Statistics in Medicine, ,
  • , , A comparison of the test-negative and the traditional case-control study designs for estimation of influenza vaccine effectiveness under non-random vaccination., BMC Infectious Diseases, ,
  • , , The case test-negative design for studies of the effectiveness of the influenza vaccine. , Vaccine, ,