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Using simulation studies to evaluate statistical methods

Statistics in medicine, 2019-05, Vol.38 (11), p.2074-2102

2019

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Tuning multiple imputation by predictive mean matching and local residual draws

BMC medical research methodology, 2014-06, Vol.14 (1), p.75-75, Article 75

2014

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Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach?

BMJ (Online), 2017-03, Vol.356, p.j573

2017

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Internet-accessed sexually transmitted infection (e-STI) testing and results service: A randomised, single-blind, controlled trial

PLoS medicine, 2017-12, Vol.14 (12), p.e1002479

2017

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How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review

BMC medical research methodology, 2020-05, Vol.20 (1), p.134-134, Article 134

2020

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Planning a method for covariate adjustment in individually randomised trials: a practical guide

Trials, 2022-04, Vol.23 (1), p.328-328, Article 328

2022

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A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic

BMC medical research methodology, 2020-08, Vol.20 (1), p.208-208, Article 208

2020

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Estimands in published protocols of randomised trials: urgent improvement needed

Trials, 2021-10, Vol.22 (1), p.686-686, Article 686

2021

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Measuring the unknown: An estimator and simulation study for assessing case reporting during epidemics

PLoS computational biology, 2022-05, Vol.18 (5), p.e1008800-e1008800

2022

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Prediction meets causal inference: the role of treatment in clinical prediction models

European journal of epidemiology, 2020-07, Vol.35 (7), p.619-630

2020

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Involving patients and the public In sTatistIcal Analysis pLans (INITIAL): A delphi survey

PloS one, 2023-12, Vol.18 (12), p.e0292257-e0292257

2023

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Treatment estimands in clinical trials of patients hospitalised for COVID-19: ensuring trials ask the right questions

BMC medicine, 2020-09, Vol.18 (1), p.286-286, Article 286

2020

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A comparison of methods to adjust for continuous covariates in the analysis of randomised trials

BMC medical research methodology, 2016-04, Vol.16 (1), p.42-10, Article 42

2016

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Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide

Statistics in medicine, 2020-09, Vol.39 (21), p.2815-2842

2020

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ISSLS Prize Winner: Function After Spinal Treatment, Exercise, and Rehabilitation (FASTER): A Factorial Randomized Trial to Determine Whether the Functional Outcome of Spinal Surgery Can Be Improved

Spine (Philadelphia, Pa. 1976), 2011-10, Vol.36 (21), p.1711-1720

2011

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Combined PET and biopsy evidence of marrow involvement improves prognostic prediction in diffuse large B-cell lymphoma

Journal of Nuclear Medicine, 2014-10, Vol.55 (10), p.1591-1597

2014

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Improper analysis of trials randomised using stratified blocks or minimisation

Statistics in medicine, 2012-02, Vol.31 (4), p.328-340

2012

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Reporting and analysis of trials using stratified randomisation in leading medical journals: review and reanalysis

BMJ (Online), 2012-09, Vol.345 (sep14 1), p.e5840-e5840

International edition, 2012

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Analysis of multicenter clinical trials with very low event rates

Trials, 2020-11, Vol.21 (1), p.917-917, Article 917

2020

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Causal analyses of existing databases: the importance of understanding what can be achieved with your data before analysis (commentary on Hernán)

Journal of clinical epidemiology, 2022-02, Vol.142, p.261-263

2022

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We must let the research question drive study methods

BMJ (Online), 2024-01, Vol.384, p.q173

2024

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The estimands framework: a primer on the ICH E9(R1) addendum

BMJ (Online), 2024-01, Vol.384, p.e076316

2024

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The risks and rewards of covariate adjustment in randomized trials: an assessment of 12 outcomes from 8 studies

Trials, 2014-04, Vol.15 (1), p.139-139, Article 139

2014

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Function After Spinal Treatment, Exercise, and Rehabilitation: Cost-Effectiveness Analysis Based on a Randomized Controlled Trial

Spine (Philadelphia, Pa. 1976), 2011-10, Vol.36 (21), p.1807-1814

2011

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How to check a simulation study

International journal of epidemiology, 2024-02, Vol.53 (1)

2024

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Using simulation studies to evaluate statistical methods

Tuning multiple imputation by predictive mean matching and local residual draws

Meta-analytical methods to identify who benefits most from treatments: daft, deluded, or deft approach?

Internet-accessed sexually transmitted infection (e-STI) testing and results service: A randomised, single-blind, controlled trial

How are missing data in covariates handled in observational time-to-event studies in oncology? A systematic review

Planning a method for covariate adjustment in individually randomised trials: a practical guide

A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic

Estimands in published protocols of randomised trials: urgent improvement needed

Measuring the unknown: An estimator and simulation study for assessing case reporting during epidemics

Prediction meets causal inference: the role of treatment in clinical prediction models

Involving patients and the public In sTatistIcal Analysis pLans (INITIAL): A delphi survey

Treatment estimands in clinical trials of patients hospitalised for COVID-19: ensuring trials ask the right questions

A comparison of methods to adjust for continuous covariates in the analysis of randomised trials

Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide

ISSLS Prize Winner: Function After Spinal Treatment, Exercise, and Rehabilitation (FASTER): A Factorial Randomized Trial to Determine Whether the Functional Outcome of Spinal Surgery Can Be Improved

Combined PET and biopsy evidence of marrow involvement improves prognostic prediction in diffuse large B-cell lymphoma

Improper analysis of trials randomised using stratified blocks or minimisation

Reporting and analysis of trials using stratified randomisation in leading medical journals: review and reanalysis

Analysis of multicenter clinical trials with very low event rates

Causal analyses of existing databases: the importance of understanding what can be achieved with your data before analysis (commentary on Hernán)

We must let the research question drive study methods

The estimands framework: a primer on the ICH E9(R1) addendum

The risks and rewards of covariate adjustment in randomized trials: an assessment of 12 outcomes from 8 studies

Function After Spinal Treatment, Exercise, and Rehabilitation: Cost-Effectiveness Analysis Based on a Randomized Controlled Trial

How to check a simulation study

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