Survival Analysis
Learning Objectives
Upon completion of this comprehensive and engaging course, you will be able to:
- Differentiate between right-censored and left-censored cases
- Create life tables and Kaplan-Meyer survival function curves
- Conduct Mantel-Cox, Breslow, and Tarone-Ware tests of significance in SPSS to determine if survival functions are equal
- Conduct univariate and multivariate Cox Proportional Hazards Model analyses (AKA Cox Regression) in SPSS to predict survival time
- Calculate and interpret Hazard Ratio (HR) effect sizes
- List the assumptions underlying Cox Regression
- Review sample size guidelines for Cox Regression
Instructor
Christian Geiser, PhD is a former Professor of Quantitative Psychology with expertise in structural equation modeling, longitudinal data analysis, latent class modeling, multitrait-multimethod analysis, and psychometric methods. Dr. Geiser completed his doctoral training in quantitative psychology from Freie Universität Berlin in Germany, after which time he served as a faculty member at both Arizona State University as well as Utah State University, where he served as Principal Investigator on grants funded by the National Institutes of Health (NIH). In his academic career, he has published 75 peer-reviewed journal articles, 15 book chapters, and 5 books from leading publish houses such as Springer and Guilford Press. His work has been cited over 7,000 times, and he currently serves as an Editorial Board Member on Journal of Personality. Dr. Geiser provides statistical consultation services and serves as Director of Education for Quantfish, an online statistics training platform for health and social scientists.
