- UC Berkeley
- Library Guides
- Computational Precision Health
- Using Statistics

- Choosing The Correct Statistical Test In SAS, Stata, SPSS And RGeneral 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.
- E-value Calculator (Harvard-MIT Data Center)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.
- QuickcalcsDozens of free online calculators for assigning random numbers, detecting outliers, t tests, ANOVA post tests, and much more.

- Cox Proportional-Hazards ModelIn this article, we’ll describe the Cox regression model and provide practical examples using R software. The Cox proportional-hazards model is essentially a regression model commonly used statistical in medical research for investigating the association between the survival time of patients and one or more predictor variables.
- DAGittyDAGitty is a browser-based environment for creating, editing, and analyzing causal models (also known as directed acyclic graphs or causal Bayesian networks).
- ggdag: An R Package for visualizing and analyzing causal directed acyclic graphsTidy, analyze, and plot causal directed acyclic graphs (DAGs). ggdag uses the powerful dagitty package to create and analyze structural causal models and plot them using ggplot2 and ggraph in a consistent and easy manner.
- Interpreting Odd Ratios in Logistic RegressionInterpreting the logistic regression’s coefficients is somehow tricky. Looking at some examples beside doing the math helps getting the concept of odds, odds ratios and consequently getting more familiar with the meaning of the regression coefficients. The following examples are mainly taken from IDRE UCLE FAQ Page and they are recreated with R.
- An Introduction to Directed Acyclic GraphsUsing R for DAGs. A DAG displays assumptions about the relationship between variables (often called nodes in the context of graphs).

- Statistical Consulting (Dept. of Statistics)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.
- D-LabD-Lab offers trainings, consulting, working groups, and more. Topics include R, Python, Qualitative Methods, Stata, etc.
- Geospatial Innovation FacilityGIF offers workshops, office hours, online trainings, geospatial data, networking and funding opportunities, and more. They also facilitate free UCB access to ArcGIS.

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