The Roslin Institute - Training

17. Statistical Packages

The Roslin Institute - Training

16. Explaining A Mixed Model

The Roslin Institute - Training

15. Sample Size Estimation

The Roslin Institute - Training

14. Model Assumptions & Model Checking Methods

The Roslin Institute - Training

13.Significance Testing for Fixed Effects

The Roslin Institute - Training

12. Practical considerations – Negative Variance Components

The Roslin Institute - Training

11.Repeated Measures Data

The Roslin Institute - Training

10. Example 4 Crossover Trial

The Roslin Institute - Training

9. Trials Involving Comparisons Between Units

The Roslin Institute - Training

8. Example 3 Non-normal data

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7. Non-Normal Data

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11. More Complex Designs

The Roslin Institute - Training

10. Demonstrating Equivalence

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9. Allowing for Drop-outs

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8. Binary Data

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7. Different Variances for Groups

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6. Different Numbers Per Group

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5. Example 2

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

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3. Example 1

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2. Sample Size Calculation – Basic Formula

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1. Introduction

The Roslin Institute - Training

8. Crossover & Repeated Measures Designs

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7. Randomised Block Design

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6. Examples of Experimental Designs

The Roslin Institute - Training

4. Avoiding Bias

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3. Achieving Generalisable Results

The Roslin Institute - Training

2. Achieving Statistical Significance

The Roslin Institute - Training

23. Self-Learning Resources

The Roslin Institute - Training

22. Choice of Software Package

The Roslin Institute - Training