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Biographical Information
Dr. Nicholas Anderson (Nick) is an Adjunct Assistant Professor with two departments at Columbia University, Quantitative Methods in the Social Sciences (QMSS) in the School of International and Public Affairs (SIPA) and Human Development (HUD) at Teachers College. He teaches courses which emphasize advanced quantitative analysis, including regression, statistics, and probability. He currently works full time at Mercer’s Workforce Strategy and Analytics group, where he advised Fortune 500 companies on Diversity, Equity, and Inclusion (DEI) practices using their human resource data. He completed his dissertation in 2021 on a topic in meta-analysis, where his research shows that it is feasible to treat logistic regression slopes as a partial effect size in a meta-analysis – once certain assumptions are met. His research interests are in statistics, causal inference, meta-analysis, education and various topics in labor economics.
Publications
Anderson, N. (2021). Meta-analyzing logistic regression slopes: A partial effect size for categorical outcomes. Columbia University.
Guzzo, Richard A., Haig R. Nalbantian, and Nicholas L. Anderson. "Age, Experience, and Business Performance: A Meta-Analysis of Work Unit-Level Effects." Work, Aging and Retirement 8.2 (2022): 208-223.
Zheng, X., Siddiqui, Z., Anderson, N., Chen, C., Chatterji, M., Smiley, R., Landau, Ruth and Meng, M. (2020). Check the Blood Pressure! An Educational Tool for Anesthesiology Trainees Converting Epidural Labor Analgesia to Cesarean Delivery Anesthesia. Anesthesia and Analgesia Practice, 14(6).
Papautsky, E. L., Rice, D. R., Ghoneima, H., McKowen, A. L. W., Anderson, N., Wootton, A. R., & Veldhuis, C. (2021). Characterizing Health Care Delays and Interruptions in the United States During the COVID-19 Pandemic: Internet-Based, Cross-sectional Survey Study. Journal of Medical Internet Research, 23(5), e25446.