Topics in Statistical Inference, Fall 2019

Schedule is updated dynamically during the semester

DAY	DATE	TOPIC	READING	OUT	DUE
1	Fri, Sep 6	One-variable regression: associations, hypothesis testing	KNNL Ch 1-2
2	Tue, Sep 10	One-variable regression: associations, hypothesis testing	KNNL Ch 1-2	Hw1 out
3	Fri, Sep 13	One-variable regression: confidence & prediction intervals	KNNL Ch 2
4	Tue, Sep 17	One-variable regression: multiple testing	KNNL Ch 2-3 & 4.1-4.2
5	Fri, Sep 20	ANOVA approach to regression Diagnostics	KNNL Ch 2-3 & 4.1-4.2
6	Tue, Sep 24	Slope vs correlation Lack of fit	KNNL Ch 2-3		Hw1 due Sep 25
7	Fri, Sep 27	Multi-variable regression: inference & multicollinearity	KNNL Ch 6	Hw2 out
8	Tue, Oct 1	Multi-variable regression: inference & multicollinearity	KNNL Ch 6
9	Fri, Oct 4	Multi-variable regression: extra SS, diagnostics	KNNL Ch 6, 7 & 10.1
10	Tue, Oct 8	Designed experiments: categorical predictors	KNNL Ch 15.1-15.2 Ch 16-17		Hw2 due Oct 9 Proj group due
	Fri, Oct 11	Midterm exam
11	Tue, Oct 15	Designed experiments: two factors	KNNL Ch 19 & 23
12	Fri, Oct 18	Designed experiments: two factors; factor-level means	KNNL Ch 19 & 23	Hw3 out Sun Oct 20
13	Tue, Oct 22	One-case per treatment, RCB designs	KNNL Ch 20-21
14	Fri, Oct 25	RCB designs	KNNL Ch 21
	Tue, Oct 29	Guest lecture Sicheng Hao: causal inference
	Fri, Nov 1	Project pitches			Proj proposal due
15	Tue, Nov 5	Linear mixed effects models	KNNL Ch 25 Rao Ch 14 Faraway Ch 8		Hw3 due
16	Fri, Nov 8	Guest lecture: WVH366 Andrew Therriault
17	Tue, Nov 12	Non-parametric inference Categorical variables	Rao Ch. 5 Agresti Ch 1-3
18	Fri, Nov 15	Contingency tables	Agresti Ch 1-3 Faraway Ch 4.1-4.2
19	Tue, Nov 19	Generalized linear models: logistic regression	KNNL Ch 14 Faraway Ch 3	Hw4 out
20	Fri, Nov 22	Inference in logistic regression
	Tue, Nov 26	Inference in logistic regression
	Fri, Nov 29	No class, Thanksgiving
	Tue, Dec 3	Project presentations			Hw4 due
	Fri, Dec 6	Final exam			Proj report due
	Wed, Dec 11				Proj review due