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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Statistics and Probability
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48 papers4 CorrectedQuestions on this topic
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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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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VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data
Jean Daunizeau, Vincent Adam, Lionel Rigoux · PLoS Computational Biology · 2014
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Implementation of pharmacokinetic and pharmacodynamic strategies in early research phases of drug discovery and development at Novartis Institute of Biomedical Research
Tove Tuntland, Brian Ethell, Takatoshi Kosaka et al. · Frontiers in Pharmacology · 2014 · Review
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External validation of a Cox prognostic model: principles and methods
Patrick Royston, Douglas G Altman · BMC Medical Research Methodology · 2013
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Individual Differences in Inhibitory Control, Not Non-Verbal Number Acuity, Correlate with Mathematics Achievement
Camilla Gilmore, Nina Attridge, Sarah Clayton et al. · PLoS ONE · 2013
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Principled missing data methods for researchers
Yiran Dong, Chao-Ying Joanne Peng · SpringerPlus · 2013
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A tutorial on sensitivity analyses in clinical trials: the what, why, when and how
Lehana Thabane, Lawrence Mbuagbaw, Shiyuan Zhang et al. · BMC Medical Research Methodology · 2013
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Corrected Modeling exposure–lag–response associations with distributed lag non‐linear models
Antonio Gasparrini · Statistics in Medicine · 2013
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The Ottawa Statement on the Ethical Design and Conduct of Cluster Randomized Trials
Charles Weijer, Jeremy M. Grimshaw, Martin P. Eccles et al. · PLoS Medicine · 2012
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