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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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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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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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Multiple Imputation and its Application

Second edition, 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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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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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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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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Study Design 101: Estimation of Treatment Effects in RCTs Should Be Based on Between-Arm Contrasts, Not Observed Outcome Changes Within Treatment Arms

The American journal of gastroenterology, 2024-10

2024

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We must let the research question drive study methods

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

2024

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

BMJ (Online), 2024-01, 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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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

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

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

Multiple Imputation and its Application

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

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

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

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)

Study Design 101: Estimation of Treatment Effects in RCTs Should Be Based on Between-Arm Contrasts, Not Observed Outcome Changes Within Treatment Arms

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

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