Library Guides: Health Statistics & Data: Using Statistics

A Data Biography

The idea of a data biography comes from the We All Count Project for Equity in Data Science. For any datasets you use, ask these questions:

Who:
- Who collected the data?
- Who owns the data?
How:
- The methods behind the data collection design and process?
Where:
- In what locations was the data collected?
- Where is the data stored?
Why:
- For what purpose was the data collected?
When:
- When was the data collected?

Websites

ArticleTables.com
Extract tables from PubMed articles and export to XML file and Excel spreadsheet to mine and/or manipulate the data in these research article tables.
Choosing The Correct Statistical Test In SAS, Stata, SPSS And R
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.
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.
Health DATAbytes
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.
Quickcalcs
Dozens of free online calculators for assigning random numbers, detecting outliers, t tests, ANOVA post tests, and much more.
R for the Rest of Us
Site with free R trainings: Getting Started with R; Fundamentals of R, and more.
R Studio Primers
Learn data science basics with the interactive tutorials: Visualization, tidying, writing functions, and more.
Statistical Computing
This site, also from UCLA, serves as a gateway to resources on R, STATA, SPSS, and SAS, including textbook examples, data analysis, and help/FAQs.
Statistical Computing Seminars
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.
Statistics & Programming Workshop Materials (Harvard)
Handouts, notes, interactive materials on Python, R, Stata, and more.
Tidyverse
"The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures."

Statistical Reference Works

Encyclopedia of Statistical Sciences This link opens in a new window
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.

Statistics Help @UCB

D-Lab
D-Lab offers trainings, consulting, working groups, and more. Topics include R, Python, Qualitative Methods, Stata, etc.
Geospatial Innovation Facility
GIF offers workshops, office hours, online trainings, geospatial data, networking and funding opportunities, and more. They also facilitate free UCB access to ArcGIS.
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.