Stanford University
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Jayme Koltsov, PhD
Senior Biostatistician, Orthopaedic Surgery
BioDr. Koltsov is an expert in clinical and translational orthopaedic research design and biostatistics with a unique and valuable combination of skill-sets. Her foundation from her Ph.D. in orthopaedic biomechanics provides an understanding of the underlying anatomy, pathology, and mechanics not typical for a biostatistician. This background empowers effective and efficient communication with clinicians and scientists and enables Dr. Koltsov to develop study designs and analytic strategies exceptionally tailored to the physical orthopaedic problems under investigation.
Dr. Koltsov has an extensive knowledge base in research methodology and statistical methods honed from her PhD onward, including univariate statistics (parametric, non-parametric, and categorical); survival analysis (Kaplan Meier and Cox proportional hazards); multivariable and longitudinal data analyses (logistic regression, generalized linear modeling, linear mixed models, hierarchical and repeated measures modeling, and generalized estimating equations,); quasi-experimental techniques for reducing bias (propensity score matching and inverse probability treatment weighting); patient reported outcome design and validation; diagnostic test validation; and healthcare economic analysis. Over the past 11 years, Dr. Koltsov has developed a successful track record of collaborations with clinicians and scientists to lead and facilitate high-quality clinical, translational, and health services research spanning multiple orthopaedic disciplines, including spine, arthroplasty, foot and ankle, upper extremity, trauma, sports medicine, pediatrics, rheumatology, rehabilitation, and biomechanics. -
Pallavi Kompella
Lead Research Scientist, Animal Pharmacology, Innovative Medicines Accelerator (IMA)
BioPh.D. Pharmaceutical Sciences, The University of Texas at Austin, Texas
(American Foundation for Pharmaceutical Education Doctoral Fellow)
Fulbright Postdoctoral Scholar, Biomedical Research Institute of Malaga, Spain
