NUS Department of Biochemistry, Yong Loo Lin School of MedicineNUS Department of Biochemistry, Yong Loo Lin School of MedicineBridging Courses

MSc in Precision Health and Medicine × AI

R for Precision Health

A self-paced introduction to R for biostatistics, from objects and data wrangling through descriptive statistics, probability, inference and modelling.

  • 26 lessons
  • 9 units
  • 226 sections
  • Self-paced, in your browser

Lessons

Unit 1Getting Started in R4 lessons
  1. 1Objects, Vectors, and Data TypesLesson 1 · 9 sections
  2. 2Reading Data and Reproducible ReportsLesson 2 · 7 sections
  3. 3Understanding Missing Data (NA)Lesson 3 · 8 sections
  4. 4Missing-Data DecisionsLesson 4 · 7 sections
Unit 2Data Wrangling4 lessons
  1. 5The Native Pipe and Choosing Rows and ColumnsLesson 5 · 9 sections
  2. 6Sorting, Counting, and Deriving VariablesLesson 6 · 11 sections
  3. 7Grouped Summaries and JoinsLesson 7 · 6 sections
  4. 8Pivots, Factors, and Cleaning HeadersLesson 8 · 8 sections
Unit 3Descriptive Statistics4 lessons
  1. 9Summarising Numeric VariablesLesson 9 · 8 sections
  2. 10Categorical Summaries and Missing ValuesLesson 10 · 8 sections
  3. 11Building ggplot2 ChartsLesson 11 · 11 sections
  4. 12Reading Charts Critically and a Table 1Lesson 12 · 7 sections
Unit 4Probability and Distributions2 lessons
  1. 13Probability Rules and IndependenceLesson 13 · 9 sections
  2. 14The Normal Curve, z-scores, and d/p/q/rLesson 14 · 12 sections
Unit 5Diagnostic Tests and Bayes2 lessons
  1. 15The 2x2 Table, Sensitivity, and SpecificityLesson 15 · 7 sections
  2. 16PPV, NPV, and Why Prevalence MattersLesson 16 · 9 sections
Unit 6Inferential Statistics2 lessons
  1. 17Sampling, Standard Error, and the CLTLesson 17 · 10 sections
  2. 18Confidence IntervalsLesson 18 · 10 sections
Unit 7Hypothesis Testing2 lessons
  1. 19The Logic of a Test and p-valuesLesson 19 · 6 sections
  2. 20Errors, Power, and Choosing a TestLesson 20 · 12 sections
Unit 8Effect Measures and ROC2 lessons
  1. 21Multiple Testing and Effect MeasuresLesson 21 · 9 sections
  2. 22ROC, AUC, and Tests for Table 1Lesson 22 · 8 sections
Unit 9Statistical Modeling4 lessons
  1. 23Correlation and Fitting a LineLesson 23 · 8 sections
  2. 24Prediction, Diagnostics, and ConfoundingLesson 24 · 9 sections
  3. 25Logistic RegressionLesson 25 · 9 sections
  4. 26Predicted Probabilities and a Taste of SurvivalLesson 26 · 9 sections

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