A practical guide to methods controlling false discoveries in computational biology
Keegan Korthauer, Patrick K. Kimes, Claire Duvallet et al. · Genome Biology · 2019
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Statistics and Probability
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49 papers4 CorrectedQuestions on this topic
Statistical determination of synergy based on Bliss definition of drugs independence
Eugene Demidenko, Todd W. Miller · PLOS ONE · 2019
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Hierarchical generalized additive models in ecology: an introduction with mgcv
Eric J. Pedersen, David L. Miller, Gavin L. Simpson et al. · PeerJ · 2019
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Unconditional or Conditional Logistic Regression Model for Age-Matched Case–Control Data?
Chia-Ling Kuo, Yinghui Duan, James Grady · Frontiers in Public Health · 2018
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Key design considerations for adaptive clinical trials: a primer for clinicians
Kristian Thorlund, Jonas Haggstrom, Jay JH Park et al. · BMJ · 2018
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Real-world evidence: How pragmatic are randomized controlled trials labeled as pragmatic?
Rafael Dal-Ré, Perrine Janiaud, John P. A. Ioannidis · BMC Medicine · 2018
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Power Analysis and Effect Size in Mixed Effects Models: A Tutorial
Marc Brysbaert, Michaël Stevens · Journal of Cognition · 2018
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Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression
Jennifer F. Bobb, Birgit Claus Henn, Linda Valeri et al. · Environmental Health · 2018
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Corrected Brain areas associated with numbers and calculations in children: Meta-analyses of fMRI studies
Marie Arsalidou, Matthew Pawliw-Levac, Mahsa Sadeghi et al. · Developmental Cognitive Neuroscience · 2018 · Meta-analysis
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A comparison of multiple imputation methods for missing data in longitudinal studies
Md Hamidul Huque, John B. Carlin, Julie A. Simpson et al. · BMC Medical Research Methodology · 2018
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Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data
Haohan Wang, Benjamin J Lengerich, Bryon Aragam et al. · Bioinformatics · 2018
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Outcome-sensitive multiple imputation: a simulation study
Evangelos Kontopantelis, Ian R. White, Matthew Sperrin et al. · BMC Medical Research Methodology · 2017
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Four reasons to prefer Bayesian analyses over significance testing
Zoltan Dienes, Neil Mclatchie · Psychonomic Bulletin & Review · 2017
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Hierarchical statistical techniques are necessary to draw reliable conclusions from analysis of isolated cardiomyocyte studies
Markus B Sikkel, Darrel P Francis, James Howard et al. · Cardiovascular Research · 2017
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An automated sampling importance resampling procedure for estimating parameter uncertainty
Anne-Gaëlle Dosne, Martin Bergstrand, Mats O. Karlsson · Journal of Pharmacokinetics and Pharmacodynamics · 2017
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Corrected External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
Richard D Riley, Joie Ensor, Kym I E Snell et al. · BMJ · 2016
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Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
Sander Greenland, Stephen J. Senn, Kenneth J. Rothman et al. · European Journal of Epidemiology · 2016
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False discovery rates: a new deal
Matthew Stephens · Biostatistics · 2016
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Stepped wedge cluster randomised trials: a review of the statistical methodology used and available
D. Barker, P. McElduff, C. D’Este et al. · BMC Medical Research Methodology · 2016 · Review
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A weak instrument F -test in linear IV models with multiple endogenous variables
Eleanor Sanderson, Frank Windmeijer · Journal of Econometrics · 2016
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