Biostatistics and Data Science
10 mapped learning topics. This is an editorial subject directory, not a fully reproduced or universally applicable official syllabus. Illustrated full-concept notes are explicitly identified; all mapped topics have internally hosted reading pages, with varied depth and clearly identified sources.
01. Probability and distributions
Read topic explanation here02. Statistical inference
Read topic explanation here03. Confidence intervals and p-values
Original illustrated lesson04. Linear and logistic regression
Original illustrated lesson05. Survival analysis
Original illustrated lesson06. Mixed-effects models
Read topic explanation here07. Missing data
Read topic explanation here08. Multiple testing
Read topic explanation here09. Reproducible analysis
Read topic explanation here10. Data visualization
Read topic explanation here
Read topic explanation here02. Statistical inference
Read topic explanation here03. Confidence intervals and p-values
Original illustrated lesson04. Linear and logistic regression
Original illustrated lesson05. Survival analysis
Original illustrated lesson06. Mixed-effects models
Read topic explanation here07. Missing data
Read topic explanation here08. Multiple testing
Read topic explanation here09. Reproducible analysis
Read topic explanation here10. Data visualization
Read topic explanation here
Authoritative curriculum / reference starting points
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