Kenward, Michael G.

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

Sterne, J. A. C., White, I. R., Carlin, J. B., Spratt, M., Royston, P., Kenward, M. G., Wood, A. M., & Carpenter, J. R. (2009) · BMJ

Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

Cited by 7,299

Small sample inference for fixed effects from restricted maximum likelihood

Kenward, M. G., & Roger, J. H. (1997) · Biometrics

Statistical Methods and Bayesian InferenceAdvanced Statistical Methods and Models

Cited by 4,552

Distributed lag non‐linear models

Gasparrini, A., Armstrong, B., & Kenward, M. G. (2010) · Statistics in Medicine

Climate Change and Health ImpactsStatistical Methods in Epidemiology

Cited by 2,481

Multivariate meta-analysis for non-linear and other multi-parameter associations

Gasparrini, A., Armstrong, B., & Kenward, M. G. (2012) · Statistics in Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 772

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

Free, C., Knight, R., Robertson, S., Whittaker, R., Edwards, P., Zhou, W., Rodgers, A., Cairns, J., Kenward, M. G., & Roberts, I. (2011) · The Lancet

Smoking Behavior and CessationMobile Health and mHealth Applications

Cited by 728

The analysis of designed experiments and longitudinal data by using smoothing splines

Verbyla, A. P., Cullis, B. R., Kenward, M. G., & Welham, S. J. (1999) · Journal of the Royal Statistical Society Series C: Applied Statistics

Statistical Methods and Bayesian InferenceOptimal Experimental Design Methods

Cited by 570

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

Bell, M. L., Kenward, M. G., Fairclough, D. L., & Horton, N. J. (2013) · BMJ

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 460

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

Carpenter, J. R., Roger, J. H., & Kenward, M. G. (2013) · Journal of Biopharmaceutical Statistics

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 286

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

Cro, S., Morris, T. P., Kenward, M. G., & Carpenter, J. R. (2020) · Statistics in Medicine

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 203

Using causal diagrams to guide analysis in missing data problems

Daniel, R. M., Kenward, M. G., Cousens, S. N., & De Stavola, B. L. (2012) · Statistical Methods in Medical Research

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 155

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

Nwaru, B. I., Takkinen, H.-M., Niemelä, O., Kaila, M., Erkkola, M., Ahonen, S., Haapala, A.-M., Kenward, M. G., Pekkanen, J., Lahesmaa, R., et al. (2013) · Journal of Allergy and Clinical Immunology

Asthma and respiratory diseasesFood Allergy and Anaphylaxis Research

Cited by 151

Reference-based Sensitivity Analysis via Multiple Imputation for Longitudinal Trials with Protocol Deviation

Cro, S., Morris, T. P., Kenward, M. G., & Carpenter, J. R. (2016) · The Stata Journal: Promoting communications on statistics and Stata

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 67