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Lecture Notes, Code and Output
|
Session
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Date
|
Section
|
Notes
|
Code/Output
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1 |
W 01/16 |
Course Presentation Concepts |
slides |
SPSS Demo
|
| | NONPARAMETRIC STATISTICS | | |
2 |
F 01/18 |
9.1 Why Nonparametric Tests 9.2 The Sign Test |
slides
|
SAS
|
3 |
W 01/23 |
9.3 The Wilcoxon Signed Rank test 9.4 The Wilcoxon Rank Sum Test |
slides
|
SAS
|
4 |
F 01/25 |
9.5 The Kruskal-Wallis Test 9.6 The Friedman Test FIRST MID-TERM TEST (take-home) |
slides
|
SAS
|
| | ANALYSIS OF VARIANCE | | |
5 |
W 01/30 |
12.1 Assumptions for use of ANOVA 12.2 One-way ANOVA |
slides
|
SPSS
SAS
|
6 |
F 02/01 |
12.3 Multiple comparisons |
slides
|
SPSS
SAS
|
7 |
W 02/06 |
12.5 Two-Way ANOVA with Interaction |
slides
|
SPSS
SAS
|
8 |
F 02/08 |
12.4 ANOVA for the Randomized Block Design |
slides
|
SPSS
SAS
|
9 |
W 02/13 |
12.6 Linear Models for one- and two-way treatment structures in the CRD and RCB designs |
slides
|
SPSS
SAS
|
10 |
F 02/15 |
12.6 Linear Models for one- and two-way treatment structures in the CRD and RCB designs 12.7 ANOVA with unequal subgroup numbers |
slides
|
SPSS
SAS
|
|
W 02/20 |
SECOND MID-TERM TEST |
|
| | SIMPLE LINEAR REGRESSION | | |
11 |
F 02/22 |
13.1.1 Estimation of Coefficients 13.1.2 Variance of Y|X 13.1.3 The Coefficient of Determination (R2) |
slides
|
SPSS
SAS
|
12 |
W 02/27 |
13.2.1 Assumptions for Inference in Linear Regression 13.2.2 Regression Diagnostics 13.2.3 The Slope Coefficient 13.2.4 The Y-intercept 13.2.5 ANOVA Table Summary |
slides
|
SPSS
SAS
|
13 |
F 02/29 |
13.3.1 Confidence Interval for the mean 13.3.2 Confidence Interval for the prediction |
slides
|
SPSS
SAS
|
| | MULTIPLE LINEAR REGRESSION | | |
14 |
W 03/05 |
13.4 Multiple Linear Regression (MLR) 13.4.1 MLR Model 13.4.2 Specification of the MLR Model |
slides
|
SPSS
SAS
|
15 |
F 03/07 |
13.4.3 Parameter estimation |
slides
|
SPSS
SAS
|
16 |
W 03/12 |
13.4.4 Multicollinearity |
slides
|
SPSS
SAS
|
17 |
F 03/14 |
13.4.5 Dummy variable regression |
slides
|
SPSS
SAS
|
|
W 03/19 |
THIRD MID-TERM TEST |
|
|
F 03/21 |
Good Friday Holiday |
|
| | CATEGORICAL DATA ANALYSIS | | |
18 |
W 03/26 |
An Introduction to Categorical Data Analysis |
slides
|
respire.SAS
arthrit.SAS
|
19 |
F 03/28 |
10.1 The Goodness-of-fit Test 10.2 Two-way contingency tables(1) 10.2.3 Measures of association |
slides
|
|
20 |
W 04/02 |
10.2 Two-way contingency tables(2) 10.2.2 Chi-Square Test 10.2.3 Fisher’s Exact Test |
slides
|
dye.SAS
spouse_height.SAS
wife_smoker.SAS
|
21 |
F 04/04 |
10.3 The r by c contingency table 10.4 Multiple contingency tables |
slides
|
clinic_treatment.SAS
bipoloar.SAS
coronary.SAS
|
| | LOGISTIC REGRESSION | | |
22 |
W 04/09 |
14.1.1 Proportion, odds and logit 14.1.2 Estimation of Parameters |
|
|
23 |
F 04/11 |
14.1.2 Statistical inference 14.1.3 Computer Output 14.2.2 Residuals |
slides
|
horseshoe.SAS
sentencing.SAS
|
24 |
W 04/16 |
14.2.1 Multiple logistic regression: model and assumptions |
slides
|
horseshoe.SAS
|
25 |
F 04/18 |
14.3 Ordered logistic regression |
slides
|
order.SAS
|
|
W 04/23 |
FOURTH MID-TERM TEST |
|
| | SURVIVAL ANALYSIS | | |
26 |
F 04/25 |
11.1 Data Collection in Follow-up Studies 11.2 The Life Table Method 11.3 The product Limit Method |
slides
|
|
27 |
W 04/30 |
11.4.1 The CMH Test 11.4.2 The Normal Distribution Approach 11.4.3 The Log-Rank Test 11.4.4 Use of the CMH Approach with Small Data Sets Other considerations |
slides
|
|
28 |
F 05/02 |
14.5 Introduction to Proportional Hazards Regression Other considerations |
slides
|
|
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F 05/07 |
FIFTH MID-TERM TEST |
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