Measurement Educational and Psychological
Power, minimal detectable effect, and bucket size estimation in A/B tests
Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets | Scientific Reports
Improving reproducibility in animal research by splitting the study population into several 'mini-experiments' | Scientific Reports
Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples | Nature Communications
Statistical Power and Choosing the Right Sample Size
Hypothesis Testing and Power Calculations for Taxonomic-Based Human Microbiome Data | PLOS ONE
Copyright ©2011 Brooks/Cole, Cengage Learning Testing Hypotheses About Proportions Chapter ppt download
Sample size relative to minimum statistically significant change in the... | Download Scientific Diagram
Meta-analysis - Wikipedia
A biologist's guide to statistical thinking and analysis
A biologist's guide to statistical thinking and analysis
Survey Statistical Confidence: How Many is Enough? - Great Brook Consulting
Statistically-Significant Correlation Coefficients versus Sample Size | Download Scientific Diagram
Copyright ©2006 Brooks/Cole, a division of Thomson Learning, Inc. Testing Hypotheses About Proportions Chapter ppt download
Power Analysis in R
Hypothesis Testing and Power Calculations for Taxonomic-Based Human Microbiome Data | PLOS ONE
Power Analysis in R
A biologist's guide to statistical thinking and analysis
Why Sample Size Matters - Relevant Insights
Copyright ©2005 Brooks/Cole, a division of Thomson Learning, Inc. Statistical Significance for 2 x 2 Tables Chapter ppt download
Bayesian Analysis Reporting Guidelines | Nature Human Behaviour
Large sample size, significance level, and the effect size: Solutions to perils of using big data for academic research - ScienceDirect
Copyright (c) 2004 Brooks/Cole, a division of Thomson Learning, Inc. Chapter 8 Tests of Hypotheses Based on a Single Sample. - ppt download
How Many Samples Do I Need? Determining Sample Size for Statistically Significant Results — The BYU Design Review
Frontiers | The Power of Microbiome Studies: Some Considerations on Which Alpha and Beta Metrics to Use and How to Report Results
