9 |
MLR, Intro. Recap of simple linear regression. Airquality example.(21 min) |
9 |
MLR, Basics. The Multiple Linear Regression model and least squares fit. (15 min) |
9 |
MLR, Model selection. Forward and backward model selection.(12 min) |
9 |
MLR, Model validation. Residual plotting for normality check, variance homogeneity and non-linearity.(10 min) |
9 |
MLR, Non-linearity. How to check for and deal with non-linear effects within the linear model: E.g. linear regression with quadratic input terms.(8 min) |
9 |
MLR, Confidence and prediction Intervals. How to get Confidence intervals and prediction intervals in R.(7 min) |
9 |
MLR, Colinearity. The consequence of x-inputs being correlated to each other.(16 min) |
9 |
The overall MLR method - How to approach and proceed in an analysis (7 min) |
9 |
Brief summary of Week 9 (Spring 2015) (7 min) |
- |
Note that in the recordings this is Week 12, but now moved to Week 10 |
10 |
Intro To Proportions (Polls, risk of malformation of newborns, etc)(16 min) |
10 |
Confidence Interval For One Proportion(15 min) |
10 |
Sample Size Determination(9 min) |
10 |
Hypothesis Test For One Proportion, Including Example(8 min) |
10 |
Hypothesis Test and CI for Two Proportions (9 min) |
10 |
The Chi-Square test: Hypothesis Test For Two And Several Proportions (18 min) |
10 |
Analysis Of Contingency Tables (9 min) |
10 |
Proportions and Chi-Square tests in R (14 min) |
- |
Note that in the recordings this is Week 10, but now moved to Week 11 |
11 |
Oneway Anova, Intro Example (15 min) |
11 |
Oneway Anova, Model And Hypothesis (6 min) |
11 |
Computation: Decomposition Of Variance, Anova Table (19 min) |
11 |
F-Test, F-Distribution (10 min) |
11 |
Oneway Anova, relation to 2-sample t-test. (9 min) |
11 |
Oneway Anova, Post Hoc Comparison, confidence intervals and hypothesis testing. Bonferroni correction. (17 min) |
11 |
Model control in one-way ANOVA. Residual investigation (4 min) |
11 |
A worked through one-way ANOVA example using R (17 min) |
11 |
Brief summary of Week 11 (Spring 2015) (10 min) |
- |
Note that in the recordings this is Week 6, but now moved to Week 12 |
12 |
Planning for wanted precision (7 min) |
12 |
Planning: Power and sample size (14 min) |
12 |
From 2013: Sample Size Determination (5.5 min) the notation is a bit different in this old version |
12 |
EXTRA MATH: Power and sample size formula (one sample case) (16 min) |
- |
Note, that in the current Agenda, some of the content is shifted from Week 4,5 and 6, to Week 12 |
13 |
Course summary, Week 1-3 Descriptive statistics and probability.(16 min) |
13 |
Course summary, Week 4. One sample confidence intervals.(14 min) |
13 |
Course summary, Week 5. One sample hypothesis testing, p-values. (5 min) |
13 |
Course summary, Week 6. Two sample statistics: CIs and hypothesis test. (2 min) |
13 |
Course summary, Week 7. Simulation and simulation based statistics, bootstrapping. (5 min) |
13 |
Course summary, Week 8. Simple linear regression. (6 min) |
13 |
Course summary, Week 9. Multiple linear regression (MLR). (7 min) |
13 |
Course summary, Week 10. Statistics for proportions and frequency tables. (5 min) |
13 |
Course summary, Week 11-12. Course summary, Week 11. One-way Analysis of Variance, ANOVA (NOTE: disregard the part about two-way) (6 min) |
13 |
Course “situations” - A single slide “tree overview” of the course (6 min) |
13 |
Perspective - other statistics courses (6 min) |
13 |
Exam discussion - and a few examples (14 min) |