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Multiple Imputation and its Application

1. Aufl., 2012

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Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model

Statistical methods in medical research, 2015-08, Vol.24 (4), p.462-487

2015

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Framework for the treatment and reporting of missing data in observational studies: The Treatment And Reporting of Missing data in Observational Studies framework

Journal of clinical epidemiology, 2021-06, Vol.134, p.79-88

2021

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Propensity score matching after multiple imputation when a confounder has missing data

Statistics in medicine, 2023-03, Vol.42 (7), p.1082-1095

2023

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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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Identifying inconsistency in network meta‐analysis: Is the net heat plot a reliable method?

Statistics in medicine, 2019-12, Vol.38 (29), p.5547-5564

2019

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Variation in colon cancer survival for patients living and receiving care in London, 2006-2013: does where you live matter?

Journal of epidemiology and community health (1979), 2022-02, Vol.76 (2), p.196

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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Appropriate inclusion of interactions was needed to avoid bias in multiple imputation

Journal of clinical epidemiology, 2016-12, Vol.80, p.107-115

2016

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Discussion on ‘Testing small study effects in multivariate meta‐analysis’ by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E Kimmel and Yong Chen

Biometrics, 2020-12, Vol.76 (4), p.1260-1261

2020

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Neighbourhood prevalence-to-notification ratios for adult bacteriologically-confirmed tuberculosis reveals hotspots of underdiagnosis in Blantyre, Malawi

PloS one, 2022-05, Vol.17 (5), p.e0268749-e0268749

2022

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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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Correcting bias due to missing stage data in the non-parametric estimation of stage-specific net survival for colorectal cancer using multiple imputation

Cancer epidemiology, 2017-06, Vol.48, p.16-21

2017

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Improving upon the efficiency of complete case analysis when covariates are MNAR

Biostatistics (Oxford, England), 2014-10, Vol.15 (4), p.719-730

2014

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Missing data: A statistical framework for practice

Biometrical journal, 2021-06, Vol.63 (5), p.915-947

2021

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Statistical methods for non-adherence in non-inferiority trials: useful and used? A systematic review

BMJ open, 2022-01, Vol.12 (1), p.e052656-e052656

2022

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Medications for chronic obstructive pulmonary disease: a historical non-interventional cohort study with validation against RCT results

Health technology assessment (Winchester, England), 2021-08, Vol.25 (51), p.1-70

2021

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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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Detecting and adjusting for small-study effects in meta-analysis

Biometrical journal, 2011-03, Vol.53 (2), p.351-368

2011

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A framework for extending trial design to facilitate missing data sensitivity analyses

BMC medical research methodology, 2020-03, Vol.20 (1), p.66-66, Article 66

2020

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Substantive model compatible multilevel multiple imputation: A joint modeling approach

Statistics in medicine, 2022-11, Vol.41 (25), p.5000-5015

2022

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A celebration of Harvey Goldstein’s lifetime contributions: Foreword

Journal of the Royal Statistical Society. Series A, Statistics in society, 2022-07, Vol.185 (3), p.747-748

Carpenter, James R.

2022

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Observational retrospective study calculating health service costs of patients receiving surgery for chronic rhinosinusitis in England, using linked patient-level primary and secondary care electronic data

BMJ open, 2022-02, Vol.12 (2), p.e055603-e055603

2022

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Multiple imputation of missing data under missing at random: including a collider as an auxiliary variable in the imputation model can induce bias

Frontiers in Epidemiology (Online), 2023-09, Vol.3, p.1237447-1237447

2023

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Missing data in trial‐based cost‐effectiveness analysis: An incomplete journey

Health economics, 2018-06, Vol.27 (6), p.1024-1040

2018

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Multiple Imputation and its Application

Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model

Framework for the treatment and reporting of missing data in observational studies: The Treatment And Reporting of Missing data in Observational Studies framework

Propensity score matching after multiple imputation when a confounder has missing data

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

Identifying inconsistency in network meta‐analysis: Is the net heat plot a reliable method?

Variation in colon cancer survival for patients living and receiving care in London, 2006-2013: does where you live matter?

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

Appropriate inclusion of interactions was needed to avoid bias in multiple imputation

Discussion on ‘Testing small study effects in multivariate meta‐analysis’ by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E Kimmel and Yong Chen

Neighbourhood prevalence-to-notification ratios for adult bacteriologically-confirmed tuberculosis reveals hotspots of underdiagnosis in Blantyre, Malawi

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

Correcting bias due to missing stage data in the non-parametric estimation of stage-specific net survival for colorectal cancer using multiple imputation

Improving upon the efficiency of complete case analysis when covariates are MNAR

Missing data: A statistical framework for practice

Statistical methods for non-adherence in non-inferiority trials: useful and used? A systematic review

Medications for chronic obstructive pulmonary disease: a historical non-interventional cohort study with validation against RCT results

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

Detecting and adjusting for small-study effects in meta-analysis

A framework for extending trial design to facilitate missing data sensitivity analyses

Substantive model compatible multilevel multiple imputation: A joint modeling approach

A celebration of Harvey Goldstein’s lifetime contributions: Foreword

Observational retrospective study calculating health service costs of patients receiving surgery for chronic rhinosinusitis in England, using linked patient-level primary and secondary care electronic data

Multiple imputation of missing data under missing at random: including a collider as an auxiliary variable in the imputation model can induce bias

Missing data in trial‐based cost‐effectiveness analysis: An incomplete journey

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