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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Statistics and Probability
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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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Estimating the sample size for a pilot randomised trial to minimise the overall trial sample size for the external pilot and main trial for a continuous outcome variable
Amy L Whitehead, Steven A Julious, Cindy L Cooper et al. · Statistical Methods in Medical Research · 2015
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The rise of multiple imputation: a review of the reporting and implementation of the method in medical research
Panteha Hayati Rezvan, Katherine J Lee, Julie A Simpson · BMC Medical Research Methodology · 2015 · Systematic review
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Hidden multiplicity in exploratory multiway ANOVA: Prevalence and remedies
Angélique O. J. Cramer, Don van Ravenzwaaij, Dora Matzke et al. · Psychonomic Bulletin & Review · 2015
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Statistical models for the analysis of skewed healthcare cost data: a simulation study
Amal Saki Malehi, Fatemeh Pourmotahari, Kambiz Ahmadi Angali · Health Economics Review · 2015
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Methods for sample size determination in cluster randomized trials
Clare Rutterford, Andrew Copas, Sandra Eldridge · International Journal of Epidemiology · 2015
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Handling missing data in RCTs; a review of the top medical journals
Melanie L Bell, Mallorie Fiero, Nicholas J Horton et al. · BMC Medical Research Methodology · 2014 · Review
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What is the difference between missing completely at random and missing at random?
Krishnan Bhaskaran, Liam Smeeth · International Journal of Epidemiology · 2014
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The use of segmented regression in analysing interrupted time series studies: an example in pre-hospital ambulance care
Monica Taljaard, Joanne E McKenzie, Craig R Ramsay et al. · Implementation Science · 2014
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Extension of Nakagawa & Schielzeth's R 2 GLMM to random slopes models
Paul C.D. Johnson · Methods in Ecology and Evolution · 2014
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An investigation of the false discovery rate and the misinterpretation of p -values
David Colquhoun · Royal Society Open Science · 2014 · Review
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Correcting for Optimistic Prediction in Small Data Sets
Gordon C. S. Smith, Shaun R. Seaman, Angela M. Wood et al. · American Journal of Epidemiology · 2014
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