Folefac Atem

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About

I use available statistical methodology and in some situations develop new approaches to make sense of from data. My primary research of interest is in developing non-parametric and semi-parametric estimators with application to causal inference, censored predictors, missing data problems and mixed model theory. In general, I work on developing statistical methodology for both observational and experimental studies that make efficient use of the data collected by investigators while limiting the assumption about the data. I have also mastered many different well developed statistical methodology to apply them in the etiology of a disease or to use as instrument in the understanding of different health conditions. I have developed several methodology for censored data using single imputation with bootstrap, multiple imputation and the inverse probability weighted approach based on distance to event. I do collaborate with O’Donnell Brain Institute, Division of Neurocritical Care at UT Southwestern Medical Center, the center for pediatric population health, where I am the lead statistician for several studies, the latest being to the understanding of obesity in preschoolers. I also help train Physicians and other public health researchers on clinical and translational research with an accompanying need for designing studies and testing the newly developed interventions; patient tailored interventions and associated “small data” and “Big Data” design and analytic challenges; and Patient Centered Outcomes Research requiring analytic support for comparative effectiveness research and causal analyses.

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Center Affiliation

Center for Big Data in Health Sciences

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Research Interests

• Adolescent Health
• Behavioral/Mental Health
• Big Data/Data Science
• Biostatistics
• Border Health
• Clinical Trials
• Global Health
• Health Equity
• Infectious Disease
• Maternal and Child Health
• Substance Use