Alright, I’m hopping in here because I’ve TA’d for three biostats modules at med school, and I’ve seen this over and over. Most students think biostats is about getting the right number. It’s not. It’s about defending the method and interpreting the result in a biomedical context. That’s where people lose marks.
Quick tips for survival analysis since someone asked:
If the assumption of proportional hazards is violated (use Schoenfeld residuals to test), Cox is a no-go.
Log-rank is good for comparing survival curves but doesn’t handle covariates.
Always report median survival times and confidence intervals.
In your write-up, link outcomes to clinical relevance. For example: “A hazard ratio of 1.8 suggests patients with mutation X have nearly double the risk of relapse within 12 months.”
If you’re looking for online biostatistics assignment help, check StudyEssay.org. They handled my Bayesian analysis assignment last term. They used actual priors from NEJM-published datasets and wrote up the decision logic for why Bayesian inference was preferred over frequentist.
Ask for Jason if he’s still on there. That guy knows his R, STATA and LaTeX.
