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Mathematics

D-Index
65
Citations
39781
World Ranking
374
National Ranking
23

Overview

Michael G. Kenward is affiliated with the London School of Hygiene & Tropical Medicine in the United Kingdom. Their research contributions are primarily situated within the broad field of mathematics, with a focus on statistics and probability. Kenward's work explores various statistical methods, including Bayesian inference and advanced causal inference techniques, with an emphasis on clinical trial methodology and statistical modeling.

Kenward has published extensively on topics such as:

  • Statistical Methods and Bayesian Inference
  • Advanced Causal Inference Techniques
  • Statistical Methods and Inference
  • Statistical Methods in Clinical Trials
  • Advanced Statistical Methods and Models

Their recent publications span a range of statistical applications and methodological advancements. Significant papers include:

  • Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide (2020) published in Statistics in Medicine
  • Estimating treatment effects under untestable assumptions with nonignorable missing data (2020) published in Statistics in Medicine
  • Information anchored reference-based sensitivity analysis for truncated normal data with application to survival analysis (2021) published in Statistica Neerlandica
  • Optimal weighted estimation versus Cochran-Mantel-Haenszel (2020) published in Communications in Statistics - Simulation and Computation
  • Correction to "A penalized framework for distributed lag non-linear models" by Antonio Gasparrini et al. (2022) published in Biometrics

Kenward frequently collaborates with other researchers in the field. Notable coauthors include:

  • James R. Carpenter
  • Suzie Cro
  • Tim P. Morris
  • Manuel Gomes
  • Richard Grieve

The primary venues for Kenward's publications reflect their focus on statistical methodology and its applications in biostatistics and clinical research:

  • Statistics in Medicine
  • Statistica Neerlandica
  • Communications in Statistics - Simulation and Computation
  • Biometrics

Best Publications

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

    Jonathan A C Sterne;Ian R White;John B Carlin;Michael Spratt

  • Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood

    Michael G. Kenward;James H. Roger

  • Distributed lag non-linear models

    A. Gasparrini;B. Armstrong;M. G. Kenward

  • Design and Analysis of Cross-Over Trials

    Byron Jones;Michael G. Kenward

  • Informative Drop‐Out in Longitudinal Data Analysis

    P. Diggle;M. G. Kenward

  • Missing Data in Clinical Studies

    Geert. Molenberghs;Michael G. Kenward

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

    Caroline Free;Rosemary Knight;Steven Robertson;Robyn Whittaker

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

    A. Gasparrini;B. Armstrong;M. G. Kenward

  • The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines

    Arũnas P. Verbyla;Brian R. Cullis;Michael G. Kenward;Sue J. Welham

  • Multiple imputation and its application

    J Carpenter;M Kenward

  • Multiple imputation: current perspectives.

    Michael G Kenward;James Carpenter

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

    Michael G. Kenward;James H. Roger

  • Analyzing incomplete longitudinal clinical trial data

    Geert Molenberghs;Herbert Thijs;Ivy Jansen;Caroline Beunckens

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

    James R. Carpenter;Harvey Goldstein;Michael G. Kenward

  • Informative dropout in longitudinal data analysis (with discussion)

    P J Diggle;M G Kenward

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

    Melanie L Bell;Michael G Kenward;Diane L Fairclough;Nicholas J Horton

  • Design and Analysis of Cross-Over Trials, Second Edition

    Michael Kenward;Byron Jones

  • Methods for dealing with time-dependent confounding

    Rhian Daniel;S. N. Cousens;B. L. De Stavola;M. G. Kenward

  • Model-based geostatistics. Discussion. Authors' reply

    P. J. Diggle;J. A. Tawn;R. A. Moyeed;R. Webster

  • A Method for Comparing Profiles of Repeated Measurements

    Michael G. Kenward

Frequent Co-Authors

Suvi M. Virtanen
Suvi M. Virtanen Tampere University
Jorma Ilonen
Jorma Ilonen University of Turku
Mikael Knip
Mikael Knip University of Helsinki
James R. Carpenter
James R. Carpenter University College London
Riitta Veijola
Riitta Veijola Oulu University Hospital
Olli Simell
Olli Simell Turku University Hospital
Juha Pekkanen
Juha Pekkanen University at Buffalo, State University of New York
Ben Armstrong
Ben Armstrong London School of Hygiene & Tropical Medicine
Juha Kere
Juha Kere Karolinska Institute

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