“‘Power Analysis’ Tag”,2020-08-16

Bibliography for tag statistics/power-analysis, most recent first: 41 annotations & 10 links (parent).

• See Also
• Gwern
  • “Can You Unsort Lists for Diversity?”, Gwern2019
  • “Acne: a Good Quantified Self Topic”, Gwern2019
  • “Statistical Notes”, Gwern2014
  • “A/B Testing Long-Form Readability on Gwern.net”, Gwern2012
  • “Banner Ads Considered Harmful”, Gwern2017
  • “Magnesium Self-Experiments”, Gwern2013
  • “Embryo Selection For Intelligence”, Gwern2016
  • “Redshift Sleep Experiment”, Gwern2012
  • “The Power of Twins: The Scottish Milk Experiment”, Gwern2016
  • “Genius Revisited Revisited”, Gwern2016
  • “LSD Microdosing RCT”, Gwern2012
  • “Embryo Editing for Intelligence”, Gwern2016
  • “History of Iterated Embryo Selection”, Gwern2019
  • “Nootropics”, Gwern2010
  • “Life Extension Cost-Benefits”, Gwern2015
  • “The Morality of Sperm Donation”, Gwern2012
  • “Zeo Sleep Self-Experiments”, Gwern2010
  • “Lunar Circadian Rhythms”, Gwern2013
  • “Caffeine Wakeup Experiment”, Gwern2013
  • “Candy Japan’s New Box A/B Test”, Gwern2016
  • “Diet Variance: Soylent Study”, Gwern2013
  • “Weather and My Productivity”, Gwern2013
• Links
  • “Revisiting Randomization With the Cube Method”, Davezies et al 2024
  • “Impossible Hypotheses and Effect-Size Limits”, Tilburg & Tilburg2023
  • “How Many Participants Do I Need to Test an Interaction? Conducting an Appropriate Power Analysis and Achieving Sufficient Power to Detect an Interaction”, Sommet et al 2023
  • “Replicable Brain-Phenotype Associations Require Large-Scale Neuroimaging Data”, Liu et al 2023b
  • “Identification and Analysis of Individuals Who Deviate from Their Genetically-Predicted Phenotype”, Hawkes et al 2023
  • “The Cost of Imbalance in Clinical Trials”, Chassang & Feng2022
  • “Are Most Published Criminological Research Findings Wrong? Taking Stock of Criminological Research Using a Bayesian Simulation Approach”, Niemeyer et al 2022
  • “The Phenotype-Genotype Reference Map: Improving Biobank Data Science through Replication.”, Bastarache et al 2022
  • “Optimality of Matched-Pair Designs in Randomized Controlled Trials”, Bai2022
  • “Statistical-Significance Tests for R² of Out-Of-Sample Prediction Using Polygenic Scores”, Momin et al 2022
  • “Reproducible Brain-Wide Association Studies Require Thousands of Individuals”, Marek et al 2022
  • “Policy Learning and Evaluation With Randomized Quasi-Monte Carlo”, Arnold et al 2022
  • “Which Findings Should Be Published?”, Frankel & Kasy2022
  • “The Significance Filter, the Winner’s Curse and the Need to Shrink”, Zwet & Cator2020
  • “Is Early Blindness Protective of Psychosis or Are We Turning a Blind Eye to the Lack of Statistical Power?”, Jefsen et al 2020
  • “Is the FDA Too Conservative or Too Aggressive?: A Bayesian Decision Analysis of Clinical Trial Design”, Isakov et al 2019
  • “Exome Sequencing of Finnish Isolates Enhances Rare-Variant Association Power”, Locke et al 2019
  • “Statistical Power of Clinical Trials Has Increased Whilst Effect Size Remained Stable: an Empirical Analysis of 137,032 Clinical Trials between 1975^–₄₂2017”, Lamberink et al 2017
  • “The Power of Bias in Economics Research”, Ioannidis et al 2017
  • “What Exactly Is ‘N’ in Cell Culture and Animal Experiments?”, Lazic et al 2017
  • “Empirical Assessment of Published Effect Sizes and Power in the Recent Cognitive Neuroscience and Psychology Literature”, Szucs & Ioannidis2017
  • “Refiltering Hypothesis Tests to Control Sign Error”, Owen2016
  • “Don’t Fight the Power (analysis)”, Westfall2015
  • “An Implantable Microdevice to Perform High-Throughput in Vivo Drug Sensitivity Testing in Tumors”, Jonas et al 2015
  • “The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples”, Bertsimas et al 2015
  • “Small Telescopes: Detectability and the Evaluation of Replication Results”, Simonsohn2015
  • “On the Genetic Architecture of Intelligence and Other Quantitative Traits”, Hsu2014
  • “Trap of Trends to Statistical-Significance: Likelihood of Near-Statistically-Significant p-Values Becoming More Statistically-Significant With Extra Data”, Wood et al 2014
  • “Replicability and Robustness of Genome-Wide-Association Studies for Behavioral Traits”, Rietveld et al 2014
  • “Impact of Measurement Error on Testing Genetic Association With Quantitative Traits”, Liao et al 2013
  • “On the Near Impossibility of Measuring the Returns to Advertising”, Lewis & Rao2013
  • “Improving the Sensitivity of Online Controlled Experiments by Utilizing Pre-Experiment Data”, Deng et al 2013
  • “Rerandomization to Improve Covariate Balance in Experiments”, Morgan & Rubin2012
  • “Scale Coarseness As a Methodological Artifact: Correcting Correlation Coefficients Attenuated From Using Coarse Scales”, Aguinis et al 2008
  • “Should We Take Measurements at an Intermediate Design Point?”, Gelman2000
  • “Most Published Research Findings Are False—But a Little Replication Goes a Long Way”, Moonesinghe et al 2024
  • “Counterbalancing in the Design of Experiments”
  • “Computational Analysis of Lifespan Experiment Reproducibility”
  • “Analyzing DeepMind’s Probabilistic Methods for Evaluating Agent Capabilities”
  • “From Classical Methods to Generative Models: Tackling the Unreliability of Neuroscientific Measures in Mental Health Research”
  • “Optimal Design in Psychological Research”
  • Wikipedia
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