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Printable Handouts
Navigable Slide Index
- Introduction
- Contents
- Factors determining interindividual variability
- Special problems (1)
- Special problems (2)
- Terminology and notation
- Random mating proportions
- Subjects on drug dose j with i copies of allele A
- Numbers of responders to drug treatment
- Hypotheses of interest
- t statistic to determine N for a given power
- Accounting for interactions
- Null and alternative hypothesis
- Normal approximation for t statistic (1)
- Normal approximation for t statistic (2)
- Simulating the t distribution (1)
- Simulating the t distribution (2)
- Simulating the t distribution (3)
- Distribution of t under H0 and H1
- Determining the number of tests
- Notes on method
- Effect of allele does not depend on dose (1)
- Effect of allele does not depend on dose (2)
- Additive-by-dose interaction
- Dominant-by-dose interaction
- Recessive-by-dose interaction
- How many independent tests?
- Coefficients and procedure (1)
- Coefficients and procedure (2)
- Example
- Factors to Consider
- Results (1)
- Results (2)
- Results (3)
- Discussion (1)
- Discussion (2)
- Taking account of genotype effects
- When is it better to stratify by genotype?
- Dense genome screening
- Effect of number of tests on sample size (1)
- Effect of number of tests on sample size (2)
- References
Topics Covered
- Notation and test statistic
- Sample size determination
- Determining the number of tests
- Example of binary response to a drug
Talk Citation
Elston, R. (2004, September 1). The study of candidate genes in drug trials - sample size considerations [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 26, 2024, from https://doi.org/10.69645/JWEW8086.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. Robert Elston has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
The study of candidate genes in drug trials - sample size considerations
A selection of talks on Genetics & Epigenetics
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