Recommended Resources
The Biostatistics Core provides statistical consulting services for investigator initiated clinical research, and we recommend you consult with a statistician from project conception through to dissemination. As many of our collaborators and trainees seek to expand their own understanding and knowledge of study design, statistical methods, and data science to enhance these collaborations, we have curated a list of recommended resources.
Clinical Research: Study Design and Statistics
- The Lancet Handbook of Essential Concepts in Clinical Research
- JAMA Guide to Statistics and Methods
- Biostatistics for Biomedical Research (course notes and videos)
- Choosing Appropriate Statistical Methods for Clinical Research
- Interpreting Measures of Association in Clinical Research
- Guidelines for Reporting of Figures and Tables for Clinical Research
- Recommendations for Planning Pilot Studies in Clinical and Translational Research
- Secondary Analysis of Electronic Health Records
- CONSORT Guidelines for Clinical Trials
- PRISMA Guidelines for Systematic Reviews & Meta-Analyses
- STROBE Guidelines for Observational Studies
Statistical Programming
- R for Data Science
- RStudio Training Materials
- UCLA Statistical Consulting Website
- Cross Validated Stats Exchange Community Message Board
- SAS Support Communities
Data collection and management
Statistical Learning
The Biostatistics Core provides statistical consulting services for investigator initiated clinical research, and we recommend you consult with a statistician from project conception through to dissemination. As many of our collaborators and trainees seek to expand their own understanding and knowledge of study design, statistical methods, and data science to enhance these collaborations, we have curated a list of recommended resources.
Clinical Research: Study Design and Statistics
- The Lancet Handbook of Essential Concepts in Clinical Research
- JAMA Guide to Statistics and Methods
- Biostatistics for Biomedical Research (course notes and videos)
- Choosing Appropriate Statistical Methods for Clinical Research
- Interpreting Measures of Association in Clinical Research
- Guidelines for Reporting of Figures and Tables for Clinical Research
- Recommendations for Planning Pilot Studies in Clinical and Translational Research
- Secondary Analysis of Electronic Health Records
- CONSORT Guidelines for Clinical Trials
- PRISMA Guidelines for Systematic Reviews & Meta-Analyses
- STROBE Guidelines for Observational Studies
Statistical Programming
- R for Data Science
- RStudio Training Materials
- UCLA Statistical Consulting Website
- Cross Validated Stats Exchange Community Message Board
- SAS Support Communities