A consortium of leading informatics laboratories at Harvard, MIT, and BU, supported by a grant from the National Library of Medicine.
Lectures and Problem Sets
< Computational Statistics Home
Computational Statistics for Biomedical Science: Lectures and Problem Sets
| Probability and Distributions: Statistical inference, Binomial distribution, Normal distribution, Inference on a mean | ||
| Hypothesis Testing: Normal and t distributions, Inference on a mean, Hypothesis testing, One-sample t-test | Lecture 2, Lecture 2 Lab |
Assignment 1-Intermediate and Advanced Section, Assignment 1 Solutions, Assignment 2 Part 2, Assignment 2 Solutions |
| Comparison of Means: Two-sample t-test, Analysis of variance, Type I and type II errors, Power, More R commands | Lecture 3 | Assignment 3, Assignment 3 Solutions |
| Non-Parametric Methods: Wilcoxon Signed Rank Test, Wilcoxon Rank Sum Test, Parametric vs nonparametric tests | Lecture 4, Lecture 4 R Console | Assignment 4, Assignment 4 Solutions |
| Inference on Proportions: Sampling distribution of proportions, Confidence intervals, Hypothesis testing | Lecture 5, Lecture 5 R Console, Lecture 5 Lab | Assignment 5, Assignment 5 Solutions |
| Contingency Tables: 2 x 2 Chi-square test, Fisher’s exact test, R x C Chi-square test | Lecture 6, Lecture 6 Lab, Data Set 0, Data Set 1, Data Set 2, Data Set 3, Data Set 4 | Assignment 6, Assignment 6 Solutions |
| Correlations: Pearson correlation coefficient, Spearman correlation coefficient, Parametric vs nonparametric | Lecture 7 | Assignment 7 Question 1 |
| Contingency Tables II: Study design, Risk difference, Risk ratio / Relative risk, Odds ratio / Relative odds, Confidence intervals | Lecture 8 | Assignment 7 Question 2 |
| Linear regression: Model, Inferences on regression coefficients, R2, Residual plots, Handling categorical variables, Adjusted R2, Model Selection, Forward/Backward/Stepwise | Lecture 9 | Assignment 7 Question 3, Assignment 7 Solutions, Assignment 8 Question 1 |
| Survival Analysis: Kaplan-Meier curve, Log-rank test, Cox PH Regression, Permutation test, Testing for normality, Family-wise error rate, False discovery rate | Lecture 10 | Assignment 8 Question 2, Assignment 8 Solutions |
