Department of Biostatistics, Harvard School of Public Health, USA
Dr. Rosner’s research activities are focused on several areas currently including (a) longitudinal data analysis, (b) analysis of clustered continuous, binary and ordinal data, and (c) methods for the adjustment of regression models for measurement error.
Dr. Rosner’s work on longitudinal data analysis has involved comparative analyses of several longitudinal data models on the same datasets involving serial measurements of blood pressure and pulmonary function over a 20-30 year period. These analyses are important since they enable one to predict future blood pressure levels based on current levels, which is important for screening purposes.
longitudinal data analysis, analysis of clustered continuous, binary and ordinal data, methods for the adjustment of regression models for measurement error and longitudinal data analysis
Journal of Biometrics & Biostatistics received 3496 citations as per Google Scholar report
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