Get expert advice with data analysis and more:
- Statistical aspects of study design
- Choosing statistical methods
- Multivariable modeling
- Statistical analysis for reporting results
- Meta-analysis and systematic reviews
- Other statistical analyses
- Machine learning methods
- Biological data mining
- Interpretation of results
- Manuscript and grant preparation
- Sample size planning
- Responding to reviews
- Other biostatistical issues
Hourly recharge fees may apply
For analysis of bioinformatics data deriving from genomics, proteomics, microarrays, etc., please see the Gladstone Institutes Bioinformatics Core or explore UCSF Data Resources.
Related Resources
- Clinical Study Tools & Tips - Sample Size Calculators, Table 1 SAS Macro, randomization tools, & more
- UCSF Biostatistics Wiki
- Common Biostatistical Problems and the Best-Practices that Prevent Them
- UCSF Data Resources for Statistical Analysis