Week 
Monday 
Tuesday lab 
Weds 
Friday 
1 
Aug 24
Intro/Types of studies

Aug 25
Handson randomization test and bootstrap
FYI, I won't use the board again! I now know how to draw/write on
the computer screen.

Aug 26
Types of studies

Aug 28
Designbased inference for 2 group comparison

2 
Aug 31
Modelbased confidence intervals

Sept 1
Q/A on HW 1, SAS intro

Sept 2
T tests, interpretation of pvalue

Sept 4
Sample size determination

3 
Sept 3
Labor Day, No lecture

Sept 8
Q/A on HW 2 (but no questions were asked), SAS: proc ttest, reading data

Sept 9
Assumptions: independence and equal variance, transformations

Sept 11
Normality, nonparametric tests

4 
Sept 14
Choosing a test, 1way ANOVA

Sept 15
Cider case study, SAS for diagnostics, Levene's test, Wilcoxon test

Sept 16
Fixed, Random effects, Linear contrasts

Sept 18
Orthogonal contrasts, multiple comparisons

5 
Sept 21
Philosophy of multiple comparisons, Diagnostics and Consequences

Sept 22
Lie detector electrodes case study,
Q/A on HW 4, SAS for contrasts, pairwise comparisons.

Sept 23
Pairing and blocking

Sept 25
Block designs: Inference, Efficiency and Assumptions

6 
Sept 24
Blocking: interp. of MSE

Sept 29
Lie detector electrodes case study (part 2), SAS for RCBD, a bit of
JMP for RCBD, contrasts, and transformations, a bit of Q/A on HW 5

Sept 30
Q/A on HW 5, Latin Squares, Linear Regression

Oct 2
Linear regression: estimation, inference on parameters and line

7 
Oct 5
Prediction intervals, calibration, ANOVA table, measurement error

Oct 6
Q/A for midterm I

Oct 7
Measurement error, Assumptions, ANOVA lack of fit test

Oct 9
Correlation
Note: The audio went silent about 5 minutes in. The material on p
176 was
repeated after the recording was rebooted.

8 
Oct 12
Correlation example, Intro to multiple regression

Oct 13
Ships case study,
Q/A on HW 6, SAS: linear regression

Oct 14
Matrices, estimation in multiple regression, the hat matrix

Oct 16
Inferences about parameters

9 
Oct 19
Model comparison tests, Cb tests, interpretation of coefficients

Oct 20
Netherlands
birth case study, Q/A on HW 7, Geometry of regression, SAS for
multiple regression, including test and contrasts

Oct 21
Importance of an X variable, Multicollinearity, Regression outliers

Oct 23
Influential points, DFBETA's, DFFIT's, Cook's D, loess concept

10 
Oct 26
LOESS details, unequal variances, BreuschPagan test

Oct 27
Lack fit for births data, SAS for regression diagnostics, Q/A on HW 8

Oct 28
Correlated errors: effects, diagnosis, correction

Oct 30
Estimation
in models with AR(1) errors, nonnormality, Model construction

11 
Nov 2
Model construction using indicator variables

Nov 3
Case study: model construction, Q/A on HW 9.

Nov 4
ANCOVA, model selection: intro

Nov 6
Trade off between bias and variance, Fitbased model selection,
Mallow's Cp.

12 
Nov 9
Model Selection using AIC and BIC, after model selection

Nov 10
Q/A for midterm II, SAS for regression model selection

Nov 11
Misusing and using model selection, 2 way factorial terminology

Nov 13
2 way factorial: SS as formulae, SS as contrasts among cell means

13 
Nov 16
2 way factorials: SS as model comparison, Interpretation of interactions

Nov 17
Case study: ANCOVA and other approaches for baseline data,
Q/A on HW 10,
SAS for 2 way factorials

Nov 18
2 way factorials: after the F test, 3 way factorials, factorials in
blocks, unreplicated factorials, fractional factorials.

Nov 20
Random effects, broad and narrow sense inference, estimating
variance components

14 
Nov 30
Subsampling, Split plot studies

Dec 1
Case studies on mixed models, Q/A on HW 11
SAS for random effects and split plot designs.

Dec 2
Split plot studies, repeated experiments

Dec 4
Unequal n

15 
Dec 7
Categorical data: inferences on a single proportion, differences in
proportions, intro to odds ratios

Dec 8
Smoking/Cancer case study, Q/A on HW 12, SAS for contingency
tables.

Dec 9
No lecture because ISU cancelled.

Dec 11
Contingency tables, Chisquare statistics, McNemar's test
