Dealing with missing outcome data in randomized trials and observational studies (Q34133983)

31 July 2017

Dealing with missing outcome data in randomized trials and observational studies (English)

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31 July 2017

1

Rolf H H Groenwold

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31 July 2017

A Rogier T Donders

2

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31 July 2017

Kit C B Roes

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3

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31 July 2017

Frank E Harrell

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4

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31 July 2017

Karel G M Moons

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5

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31 July 2017

language of work or name

English

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publication date

23 December 2011

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American Journal of Epidemiology

31 July 2017

8

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based on heuristic

inferred from page(s)

published in

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31 July 2017

175

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31 July 2017

210-217

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31 July 2017

3

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https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

31 July 2017

1 reference

Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

Review: a gentle introduction to imputation of missing values

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

A critical look at methods for handling missing covariates in epidemiologic regression analyses

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

Statistical principles for clinical trials (ICH E9): an introductory note on an international guideline.

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

A comparison of inclusive and restrictive strategies in modern missing data procedures

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

Analyzing incomplete longitudinal clinical trial data

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

Simple adjustments for randomized trials with nonrandomly missing or censored outcomes arising from informative covariates

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

Imputation methods for missing outcome data in meta-analysis of clinical trials

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

Missing data: our view of the state of the art

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

Using the outcome for imputation of missing predictor values was preferred.

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: current practice and problems

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

Absolute risk reductions, relative risks, relative risk reductions, and numbers needed to treat can be obtained from a logistic regression model

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: a principled yet flexible approach

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

Strategy for intention to treat analysis in randomised trials with missing outcome data

21 January 2018

1 reference

https://api.crossref.org/works/10.1093%2FAJE%2FKWR302

21 January 2018

Identifiers

DOI

10.1093/AJE/KWR302

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31 July 2017

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