Piecewise Linear Mixed Effects Model in Tracking the Mean Response Trend
Modeling mean response over time and covariance among repeated measures on the same individuals are the main two aspects of longitudinal data analysis. Linear mixed effects models track the mean response as a combination of population characteristics that are assumed to be shared by all individuals and subject-specific effects that are unique to a particular individual and account for individual level heterogeneity. We used piecewise linear mixed effects model and data from electronic medical records to track the temporal trends in the growth patterns of children who visited Nemours Delaware Valley clinics.
As manager for the Biostatistics Core at Nemours Biomedical Research, Dr. Hossain participates in a wide variety of funded and non-funded research studies and provides statistical assistance to clinicians/researchers for designing clinical trials, pre-clinical, epidemiological and survey studies, power and sample size calculation, randomization, data management, data analysis, authoring statistical section in research protocols, manuscripts, abstracts and presentations. Dr. Hossain is also an adjunct assistant professor of statistics at the University of Delaware, where he occasionally teaches graduate and undergraduate statistics and biostatistics courses.
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