Howard Alper

Over 20 years of experience as a Biostatistician with the New York City Department of Health.

Expertise in the design and analysis of longitudinal studies. Skilled in statistical programming (SAS, R) and analysis, and power and sample size calculations.

Biostatistician

Biostatistician with 20 years of experience in the design and analysis of epidemiological studies, focusing on the relationship between exposure and subsequent development of disease.

Core competencies include SAS (20+ years), SQL (in database, via PROC SQL), R, regression (linear, logistic, conditional logistic, multinomial, ordinal, Poisson, negative binomial, mixed models, generalized estimating equations, trajectory analysis), survival analysis (Kaplan-Meier curves, log-rank tests, Cox Proportional Hazards (extensive experience), non-proportional hazards approaches (familiarity)), power and sample size calculations (via closed-form equations and/or Monte Carlo simulation), causal inference methods (propensity score, causal mediation), missing data methods (Multiple Imputation, Inverse Probability Weighting), randomized trials (public health), factor analysis/principle component analysis, data management (PROC TRANSPOSE, MACROS, data linkage between multiple sources), supervising, mentoring (statistical methodology (e.g., Cox Proportional Hazards, Dual Trajectory Analysis), SAS/R programming, interpretation of results, creation of 1:1 matched dataset for Case-Control study, manuscript preparation) and training.

Recent Projects

Projects

Successfully contributed to a variety of longitudinal studies in the field of biostatistics. Expertise in data analysis and missing data methods.

Ongoing Projects

Currently involved in the design and analysis of multiple longitudinal studies. Utilizing statistical programming and power and sample size calculations.

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