Dr. Janine Morris received her M.S. in statistics from Stanford University and her Ph.D. in health services research from Boston University.
Over the last 10 years, she has served as a statistician for several hospital and academic settings, providing study design and statistical support for graduate students, medical residents, research fellows, nurses, public health officials, and junior investigators conducting clinical, translational, social, and behavioral research.
Janine has worked in a wide array of health related fields, including public health, outcomes research, health policy, quality of care, health economics, orthopaedics, pediatrics, adolescent medicine, mental health, infectious disease, alcohol and substance abuse, tobacco use, cardiac surgery, arthritis, dentistry, neurology, nursing home performance, and occupational health.
In her current roles, she serves as a statistical reviewer for medical journals and supports graduate students and medical residents in the design and conduct of research projects. In particular, she helps students and residents refine their research question, formulate clear and concise study hypotheses, define and operationalize study variables, conduct sample size and power calculations, develop appropriate statistical analysis plans, analyze collected data, and interpret study findings.
Janine’s primary areas of expertise include study design, research methods, analysis of complex survey data, analysis of large population databases (i.e. NHANES, MEPS, NHIS, BRFSS, YRBS), mixed modeling for clustered and hierarchical data, and generalized estimating equations for repeated measures analysis
She is also highly skilled in t tests, ANOVA, linear regression, generalized linear models (i.e. logistic regression, multinomial logistic regression, Poisson regression, negative binomial regression), Bland Altman analysis, and interrupted time series analysis. Janine has advance programming skills, as well as current software licenses, in SAS and STATA. She also has extensive programming experience in R.
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