Stanley Lemeshow

 

 


 

Stan Lemeshow is Founding Dean of OSU's College of Public Health, serving in that capacity for 10 years (between 2003 and 2013). He has been with the University since 1999 as a biostatistics professor in the School of Public Health and the Department of Statistics, director of the biostatistics core of the Comprehensive Cancer Center and Director of the University’s Center for Biostatistics. His biostatistics research includes statistical modeling of medical data, sampling, health disparities and cancer prevention. He has published extensively in the applied and methodological literature and has co-authored three textbooks in the John Wiley & Sons Wiley statistics series, a leading publisher for the scientific, technical and medical communities worldwide. The textbooks he authored are: Applied Logistic Regression, (now in its 3rd edition), Applied Survival Analysis (now in its 2nd edition) and Sampling of Populations; Methods and Applications (now in its 4th edition). In 2003, Dr. Lemeshow was awarded the Wiley Lifetime Award. Professor Lemeshow maintains an ongoing relationship with Aarhus University, Denmark as an Honorary Professor in Biostatistics and is a member of the faculty of the Erasmus Summer Program, Rotterdam, Holland. He has taught more than 100 short courses on biostatistical methods in this country and abroad, including eight European countries, Australia, China and India.

Education:

Ph.D., Biostatistics, University of California, Los Angeles 1976

MSPH, Biostatistics, University of North Carolina 1970

BBA, Statistics, City College of New York 1969

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Aug 15th 2016

This course provides theoretical and practical training on the increasingly popular logistic regression model, which has become the standard analytical method for use with a binary response variable. This is a hands-on, applied course where students will become proficient at using computer software to analyze data drawn primarily from the fields of medicine, epidemiology, and public health.

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Feb 15th 2016

Regression modeling is the standard method for analysis of continuous response data. This course provides theoretical and practical training in statistical modeling with particular emphasis on linear and multiple regression.

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