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Brian L. Egleston, Ph.D.
Alumnus, Department of Biostatistics
Johns Hopkins University
Current position:
Assistant Member
Biostatistics Facility
Fox Chase Cancer Center
Philadelphia, PA
e-mail: Brian.Egleston@fccc.edu
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Advisor:
Dr.
Daniel Scharfstein
Associate Professor
Department of Biostatistics
Johns Hopkins University
Research Interests
Causal inference
Competing risks
Statistical tools for investigating mediation
Translational
research
Nonparametric
and semiparametric estimation
Broadly, I am interested in developing statistical methodologies applicable to health services research. I started my career in public policy and health services research. This led to an interest in causal modeling of treatment and exposure effects. Causal modeling requires close collaboration between scientists and statisticians; given scientifically-valid assumptions and causal pathways, statistics can be used to quantify causal effects. My current work on causal models uses Rubin's potential outcomes framework in which we conceptualize the potential outcomes that participants would have under both exposure arms of a study. I have worked on causal methods for investigations of exposure effects on non-mortality outcomes when death is a competing risk and investigations of mediation.
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