02:01

17. Statistical Packages

00:52

16. Explaining A Mixed Model

01:18

15. Sample Size Estimation

03:26

14. Model Assumptions & Model Checking Methods

02:39

13.Significance Testing for Fixed Effects

05:39

12. Practical considerations – Negative Variance Components

05:05

11.Repeated Measures Data

02:53

10. Example 4: Crossover Trial

01:26

9. Trials Involving Comparisons Between Units

02:54

8. Example 3: Non-normal data

02:23

7. Non-Normal Data

00:40

11. More Complex Designs

02:38

10. Demonstrating Equivalence

01:27

9. Allowing for Drop-outs

03:06

8. Binary Data

01:37

7. Different Variances for Groups

02:48

6. Different Numbers Per Group

01:33

5. Example 2

04:43

4. Calculating In Terms of ‘Difference to Detect’ & Power From Sample Size

06:00

3. Example 1

07:57

2. Sample Size Calculation – Basic Formula

03:51

1. Introduction

04:26

8. Crossover & Repeated Measures Designs

03:36

7. Randomised Block Design

06:59

6. Examples of Experimental Designs

07:24

4. Avoiding Bias

04:33

3. Achieving Generalisable Results

08:34

2. Achieving Statistical Significance

00:44

23. Self-Learning Resources

01:08

22. Choice of Software Package

04:04

21 . Mixed (or Multilevel) Models

03:39

20. Repeated Measures Data

01:54

19. Survival Analysis

07:56

18. Ordinal Logistic Regression

03:41

17. Logistic Regression – General Points

05:21

16. Logistic Regression Example Continued – Predicting Risk

07:27

15. Logistic Regression Example – Assessing Risk Factors

02:17

14. Logistic Regression

02:40

13. Models for Other Data Types

01:10

12. GLMs - General Points

04:05

11. GLMS – checking model assumptions

04:04

10. GLMS – general points

03:42

9. Using GLMs to Adjust for Confounding Variables & Using GLMS for Prediction

04:36

8. GLM Fitting Categorical & Continuous Effects

02:11

7. General Linear Models (GLMs) - Introduction

02:27

6. Regression Recap

03:12

5. Paired T-Test Using Two-Way ANOVA & ANOVA With More Effects

10:26

4. Two-Way ANOVA - Allowing for Structure in The Data

08:25

3. Two-Way ANOVA - Assessing Two Effects in Same Model

02:01

2. One-Way Analysis of Variance (ANOVA) Recap

02:47

25. Statistical Packages

02:23

24. Going Beyond Simple Comparisons

03:24

23. Summary of Tests

03:27

22. Introduction to Multiple Regression & Logistic Regression

03:31

21. Spearman Rank Correlation Analysis for Non-Normal Data

05:31

20. Regression Analysis

04:18

19. Correlation Analysis

04:30

18. Tests for Ordinal Categorical Data

01:05

17. Chi-Square Test & Fisher’s Exact Test for Unordered Categorical Data

06:52

16. Chi-Square Test & Fisher’s Exact Test - Binary Data