STEM / applied
Survival analysis · Graduate · Statistics
Topics
Applied survival analysis
- Analyzing clinical trial data in R (survival package)
- Reporting hazard ratios and survival curves
- Left truncation and immortal time bias
- Reliability analysis in engineering
- Joint models preview (longitudinal + survival)
- Communicating survival results to clinicians
Additional applied practice
- Reviewing assumptions with domain experts
- Documenting analysis choices for reproducibility
- Sensitivity analyses for key modeling decisions
- Connecting results to the original research or business question
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.