Missing Data Workshop

The QMC is hosting a 90-minute workshop on missing data, with a particular focus on addressing missing data in regression analysis. The overall goal of this workshop is to give attendees the tools to be able to assess the nature of missingness within datasets, and build attendees’ capacities to address missingness within their research. The workshop will use R, and directions can be found below to download R.

The workshop will be led by Dr. Menglin Xu. Menglin Xu is a Ph.D. graduate from the Quantitative Research, Evaluation, and Measurement (QREM) program of EHE, OSU. Menglin has teaching and research experience in multivariate statistics, psychometrics, causal inference, longitudinal data analysis, Bayesian statistics, meta-analysis, and Monte Carlo simulations, among others. Serving as a biostatistician at Medical Center of OSU, Menglin is using her expertise in experimental design and statistics to support professional works in diversified areas of health sciences, psychology, and education.

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