Exact Sample Size Needed to Detect Dependence in 2 × 2 × 2 Tables

DOI10.1111/j.1541-0420.2007.00801.xzbMath1136.62384OpenAlexW1989815986WikidataQ34280870 ScholiaQ34280870MaRDI QIDQ5449931

S. Michal Jazwinski, Li Li, Jianliang Dai, Beth Kimball, Sangkyu Kim

Publication date: 19 March 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2007.00801.x

zbMATH Keywords

sample sizeMarkov chain Monte Carlopowerexact testnonrandom associationssingle nucleotide polymorphisms (SNPs)longetivity

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Numerical analysis or methods applied to Markov chains (65C40) Contingency tables (62H17)

Uses Software

• MPI

Cites Work

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• Exact conditional tests for cross-classifications: Approximation of attained significance levels
• Weak convergence and optimal scaling of random walk Metropolis algorithms
• A survey of exact inference for contingency tables. With comments and a rejoinder by the author
• Exact sample sizes needed to detect dependence in 2\(\times 3\) tables
• Test of Significance for 2 × 2 Contingency Tables
• Cumulant methods for analysing independence of r-way contingency tables and goodness-of-fit frequency data
• An Improved Approximate Formula for Calculating Sample Sizes for Comparing Two Binomial Distributions
• A Direct Approach to False Discovery Rates
• Performing the Exact Test of Hardy-Weinberg Proportion for Multiple Alleles
• A Table of Exact Sample Sizes for Use with Fisher's Exact Test for 2 x 2 Tables
• Generalized Monte Carlo significance tests
• The Logic of Inductive Inference

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