## Calendar

All dates for the lecture notes are tentative. Except for the final homework of 140.652, homeworks are due Friday before 5:00 PM in the Biostatistics main office E3527. The final homework of 652 is due 12/18 at 5:00 PM in the Biostat main office. Note, students are responsible for corrections and additional examples covered in class. Some of the later links are dead as the content is being revised.### 651

Date |
Subject |
Reading |
Comments |

8/30 | Set theory basics, probability Lecture 1 | Chapter 1 | |

9/4 | Introduction to probability Lecture 2 | 3.1-3.5, 4.1-4.3, 5.1-5.2 | |

9/6 | Expected values Lecture 3 | 4.4-4.5, 4.9 | HW 1 is due 9/7 |

9/11 | Random vectors, independence Lecture 4 | 3.4 | |

9/13 | Conditional probabilities, Bayes rule Lecture 5 | 3.6-3.9 | |

9/18 | Likelihood Lecture 6 | ||

9/20 | Distributions Lecture 7 | 4.8, 4.9, 5.1-5.6 | HW 2 is due 9/21 |

9/25 | Midterm exam | ||

9/27 | Asymptotics Lecture 8 | 6.1,6.2,6.5 | |

10/2 | Confidence intervals Lecture 9 | 6.7,6.8 | |

10/4 | Confidence intervals Lecture 10 | 8.3, 8.5 | HW 3 is due 10/5 |

10/9 | Some basic plots lecture11 and Karl's slides on bad plotting | Chapter 2 | |

10/11 | Bootstrapping lecture 12 and Tom's notes | ||

10/16 | Confidence intervals for binomial proportions lecture 13 and confidence interval interpretations | 6.8 | |

10/18 | Logs, geometric meansLecture 14 and Exam review | HW 4 is due 10/19 | |

10/23 | Final exam |

### 652

Date |
Subject |
Reading |
Comments |

10/25 | Hypothesis Testing Lecture 15 also see these files | 7.1-7.7 | |

10/30 | Power and sample size and two group tests Lecture 16 and Lecture 17; also look at these review notes about hypothesis testing | 8.1-8.8 8.10-8.12 | |

11/1 | Tests for binomial proportions Lecture 18 | 7.10 | HW 5 due 11/2 |

11/6 | Two sample binomial tests, delta method Lecture 19 and Lecture 20 | 10.1, 10.2, 13.1-13.3 | |

11/8 | Fisher's exact tests, Chi-squared tests Lecture 21 Lecture 22 also, some notes on the multinomial distribution | 10.2,10.3-10.6-10.9 | |

11/13 | Simpson's pardox, confounding Lecture 23 | 13.4,13.5 | |

11/15 | Retrospective case-control studies, exact inference for the odds ratio Lecture 24 | 13.1-13.3 | HW 6 due 11/16; also task1.csv |

11/22 | No class | ||

11/27 | Methods for matched pairs, McNemar's, conditional versus marginal odds ratiosLecture 25 | 10.4 | |

11/29 | Midterm Exam | ||

12/4 | Non-parametric tests, permutation tests Lecture 26 | Chapter 9 | |

12/6 | Inference for Poisson counts Lecture 27 | 14.1-14.3 | HW 7 due 12/7 |

12/11 | Multiplicity Lecture 28 | pages 573-576, 579-581 | |

12/13 | ROC curves Lecture 29 | ||

12/18 | More contingency table stuff Lecture 30 | 10.8 | HW 8 due 12/18 |

12/20 | Final Exam some quotes |