Research Learning Series (RLS) - Biostats Made Simple: Session 8

This session focuses on reviewing the different types of regression models specifically for dependent variables of nominal, ordinal, and count data, how to conduct them using SPSS. We review best practices for reporting regression models such as evaluating model fit and interpreting results.

Authors

  • Christine Ramdin, PhD

    Faculty

    Rutgers New Jersey Medical School

    Christine Ramdin, PhD, is a faculty member at the Instructor level at Rutgers New Jersey Medical School Department of Emergency Medicine. She has a PhD in Biomedical Informatics, and has research interests in Addiction Medicine, Medical Toxicology, Pain Medicine, and Stroke. She has published several studies using big data sources such as NHAMCS, HCUP, and NSSATs, and has worked with the NSDUH and TEDs dataset, along with several other local and national datasets. She has experience in conducting big data analyses and utilizing several different types of statistical methods.

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