General guidelines for choosing a statistical analysis based on the number of dependent variables, the nature of your independent variables, and whether the dependent variable is an interval variable, ordinal or categorical variable, and whether it is normally distributed. From UCLA's Institute for Digital Research and Education.
Computes the E-value, defined as the minimum strength of association on the risk ratio scale that an unmeasured confounder would need to have with both the exposure and the outcome, conditional on the measured covariates, to fully explain away a specific exposure-outcome association. You can alternatively conduct these analyses using the R package EValue.
From the UCLA Center for Health Policy Research. The Health DATA (Data. Advocacy. Training. Assistance.) Program exists to make data easy and understandable to a wide range of health advocates through trainings, workshops and technical assistance.
This site provides online seminars, produced by UCLA Academic Technology Services. It is designed to improve your skills in statistical computing packages and statistical techniques. Topics covered include: Stata, R, SAS, SPSS, Mplus and Latent Variable Analysis, and more.
Covers all areas of statistics. Regularly updated with revisions and new articles.
Covers all areas of statistics including probability theory, biostatistics, quality control, and applications of statistical methods. Includes the full text of the second print edition, the entire original edition, plus supplements and updates. Regularly updated with new articles and revisions to previously published articles.
The Department of Statistics operates a free consulting service for members of the campus community. Advanced graduate students, under faculty supervision, consult by appointment in the fall and spring semesters. We do not run the consulting service during the summer.