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A Penalized Framework for Distributed Lag Non-Linear Models

Biometrics, 2017-09, Vol.73 (3), p.938-948

2017

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An improved approximation to the precision of fixed effects from restricted maximum likelihood

Computational statistics & data analysis, 2009-05, Vol.53 (7), p.2583-2595

2009

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Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial

The Lancet (British edition), 2011-07, Vol.378 (9785), p.49-55

2011

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Multiple imputation: current perspectives

Statistical methods in medical research, 2007-06, Vol.16 (3), p.199-218

2007

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Using causal diagrams to guide analysis in missing data problems

Statistical methods in medical research, 2012-06, Vol.21 (3), p.243-256

2012

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Social capital and mental health: A comparative analysis of four low income countries

Social science & medicine (1982), 2007, Vol.64 (1), p.5-20

2007

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The use of baseline covariates in crossover studies

Biostatistics (Oxford, England), 2010-01, Vol.11 (1), p.1-17

2010

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Timing of infant feeding in relation to childhood asthma and allergic diseases

Journal of allergy and clinical immunology, 2013-01, Vol.131 (1), p.78-86

2013

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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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Exploratory study of the impact of perceived reward on habit formation

BMC Psychology, 2018-12, Vol.6 (1), p.62-62, Article 62

2018

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Women's risk of repeat abortions is strongly associated with alcohol consumption: a longitudinal analysis of a Russian national panel study, 1994-2009

PloS one, 2014-03, Vol.9 (3), p.e90356

2014

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Missing values in longitudinal dietary data: A multiple imputation approach based on a fully conditional specification

Statistics in medicine, 2009-12, Vol.28 (29), p.3657-3669

2009

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Comparisons between mild and severe cases of hand, foot and mouth disease in temporal trends: a comparative time series study from mainland China

BMC public health, 2016-10, Vol.16 (1), p.1109-1109, Article 1109

2016

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Differential dropout and bias in randomised controlled trials: when it matters and when it may not

BMJ (Online), 2013-01, Vol.346 (jan21 1), p.e8668-e8668

2013

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

BMJ, 2009-06, Vol.338 (7713), p.b2393-b2393

International edition, 2009

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Dietary fatty acid composition during pregnancy and the risk of asthma in the offspring

Pediatric allergy and immunology, 2011-12, Vol.22 (8), p.827-835

2011

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Using multi-level data to estimate the effect of social capital on hazardous alcohol consumption in the former Soviet Union

European journal of public health, 2014-08, Vol.24 (4), p.572-577

2014

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Some consequences of assuming simple patterns for the treatment effect over time in a linear mixed model

Statistics in medicine, 2013-07, Vol.32 (15), p.2585-2594

2013

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Information-anchored sensitivity analysis: theory and application

Journal of the Royal Statistical Society. Series A, Statistics in society, 2019-02, Vol.182 (2), p.623-645

2019

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Analysis of Incomplete Data Using Inverse Probability Weighting and Doubly Robust Estimators

Methodology, 2010, Vol.6 (1), p.37-48

2010

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A method for increasing the robustness of multiple imputation

Computational statistics & data analysis, 2012-06, Vol.56 (6), p.1624-1643

2012

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REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types

Journal of statistical software, 2011-12, Vol.45 (5)

2011

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Analysis of Longitudinal Trials with Protocol Deviation: A Framework for Relevant, Accessible Assumptions, and Inference via Multiple Imputation

Journal of biopharmaceutical statistics, 2013-11, Vol.23 (6), p.1352-1371

2013

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Correction to "A penalized framework for distributed lag non‐linear models" by Antonio Gasparrini, Fabian Scheipl, Ben Armstrong, and Michael G. Kenward; 73, 938–948, September 2017

Biometrics, 2022-06, Vol.78 (2), p.812-812

2022

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Estimating treatment effects under untestable assumptions with nonignorable missing data

Statistics in medicine, 2020-05, Vol.39 (11), p.1658-1674

2020

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A Penalized Framework for Distributed Lag Non-Linear Models

An improved approximation to the precision of fixed effects from restricted maximum likelihood

Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial

Multiple imputation: current perspectives

Using causal diagrams to guide analysis in missing data problems

Social capital and mental health: A comparative analysis of four low income countries

The use of baseline covariates in crossover studies

Timing of infant feeding in relation to childhood asthma and allergic diseases

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

Exploratory study of the impact of perceived reward on habit formation

Women's risk of repeat abortions is strongly associated with alcohol consumption: a longitudinal analysis of a Russian national panel study, 1994-2009

Missing values in longitudinal dietary data: A multiple imputation approach based on a fully conditional specification

Comparisons between mild and severe cases of hand, foot and mouth disease in temporal trends: a comparative time series study from mainland China

Differential dropout and bias in randomised controlled trials: when it matters and when it may not

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

Dietary fatty acid composition during pregnancy and the risk of asthma in the offspring

Using multi-level data to estimate the effect of social capital on hazardous alcohol consumption in the former Soviet Union

Some consequences of assuming simple patterns for the treatment effect over time in a linear mixed model

Information-anchored sensitivity analysis: theory and application

Analysis of Incomplete Data Using Inverse Probability Weighting and Doubly Robust Estimators

A method for increasing the robustness of multiple imputation

REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types

Analysis of Longitudinal Trials with Protocol Deviation: A Framework for Relevant, Accessible Assumptions, and Inference via Multiple Imputation

Correction to "A penalized framework for distributed lag non‐linear models" by Antonio Gasparrini, Fabian Scheipl, Ben Armstrong, and Michael G. Kenward; 73, 938–948, September 2017

Estimating treatment effects under untestable assumptions with nonignorable missing data

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