Michael G Kenward

发表

The analysis of repeated ‘direct’ measures of change illustrated with an application in longitudinal imaging

Chris Frost, Michael G Kenward, Nick C Fox, 2004, Statistics in medicine.

A penalized framework for distributed lag non‐linear models

Antonio Gasparrini, Michael G Kenward, Fabian Scheipl, 2017, Biometrics.

A Sensitivity Analysis for Shared‐Parameter Models for Incomplete Longitudinal Outcomes

Geert Molenberghs, Geert Verbeke, Michael G Kenward, 2009, Biometrical journal. Biometrische Zeitschrift.

Direct likelihood analysis versus simple forms of imputation for missing data in randomized clinical trials

Geert Molenberghs, Michael G Kenward, Caroline Beunckens, 2005, Clinical trials.

Validation of Surrogate Markers in Multiple Randomized Clinical Trials with Repeated Measurements

Geert Molenberghs, Michael G Kenward, Helena Geys, 2003, Biometrics.

Multiple Imputation Methods for Handling Missing Data in Cost-effectiveness Analyses That Use Data from Hierarchical Studies

Michael G Kenward, Manuel Gomes, Richard Grieve, 2013, Medical decision making : an international journal of the Society for Medical Decision Making.

Sensitivity analysis after multiple imputation under missing at random: a weighting approach

James R Carpenter, Michael G Kenward, Ian R White, 2007, Statistical methods in medical research.

Joint Modeling of Outcome, Observation Time, and Missingness

Michael G Kenward, Gerd K Rosenkranz, 2011, Journal of biopharmaceutical statistics.

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

James R Carpenter, Michael G Kenward, Tim P Morris, 2016, The Stata journal.

Properties of Estimators in Exponential Family Settings with Observation-based Stopping Rules.

Geert Molenberghs, Geert Verbeke, Marie Davidian, 2016, Journal of biometrics & biostatistics.

Meta‐analysis of Gaussian individual patient data: Two‐stage or not two‐stage?

James R Carpenter, Michael G Kenward, Tim P Morris, 2018, Statistics in medicine.

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

James R Carpenter, Michael G Kenward, Tim P Morris, 2020, Statistics in medicine.

Last Observation Carried Forward: A Crystal Ball?

Geert Molenberghs, Michael G Kenward, M. Kenward, 2009, Journal of biopharmaceutical statistics.

Analyzing incomplete longitudinal clinical trial data.

Geert Molenberghs, Michael G Kenward, Raymond J Carroll, 2004, Biostatistics.

Estimating treatment effects under untestable assumptions with nonignorable missing data

Michael G Kenward, Manuel Gomes, Richard Grieve, 2020, Statistics in medicine.

A characterization of missingness at random in a generalized shared‐parameter joint modeling framework for longitudinal and time‐to‐event data, and sensitivity analysis

Geert Molenberghs, Geert Verbeke, Dimitris Rizopoulos, 2014, Biometrical journal. Biometrische Zeitschrift.

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

Jaakko Nevalainen, Michael G Kenward, Suvi M Virtanen, 2009, Statistics in medicine.

Multilevel models with multivariate mixed response types

Harvey Goldstein, Michael G Kenward, James Carpenter, 2009 .

A flexible joint modeling framework for longitudinal and time-to-event data with overdispersion

Geert Molenberghs, Geert Verbeke, Dimitris Rizopoulos, 2016, Statistical methods in medical research.

Optimizing the design of clinical trials where the outcome is a rate. Can estimating a baseline rate in a run‐in period increase efficiency?

Chris Frost, Michael G Kenward, Nick C Fox, 2008, Statistics in medicine.

Multiple imputation: current perspectives

Michael G Kenward, James Carpenter, M. Kenward, 2007, Statistical methods in medical research.

Preventing smoking relapse using text messages: analysis of data from the txt2stop trial.

Michael G Kenward, M. Kenward, K. Devries, 2013, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

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

James R Carpenter, Michael G Kenward, James H Roger, 2013, Journal of biopharmaceutical statistics.

Missing data sensitivity analysis for recurrent event data using controlled imputation.

Michael G Kenward, James H Roger, Oliver N Keene, 2014, Pharmaceutical statistics.

The analysis of very small samples of repeated measurements II: A modified Box correction

Michael G Kenward, M. Kenward, S. Skene, 2010, Statistics in medicine.

Doubly Robust and Multiple-Imputation-Based Generalized Estimating Equations

Geert Molenberghs, Michael G Kenward, Cristina Sotto, 2011, Journal of biopharmaceutical statistics.

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

Michael G Kenward, Ian R White, M. Kenward, 2013, Statistics in medicine.

On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: Sequential trials, random sample sizes, and missing data

Geert Molenberghs, Geert Verbeke, Dimitris Rizopoulos, 2014, Statistical methods in medical research.

Can Internet-Based Sexual Health Services Increase Diagnoses of Sexually Transmitted Infections (STI)? Protocol for a Randomized Evaluation of an Internet-Based STI Testing and Results Service

Michael G Kenward, Tim P Morris, Paula Baraitser, 2016, JMIR research protocols.

The analysis of very small samples of repeated measurements I: An adjusted sandwich estimator

Michael G Kenward, M. Kenward, S. Skene, 2010, Statistics in medicine.

Are missing data adequately handled in cluster randomised trials? A systematic review and guidelines

Michael G Kenward, Karla Díaz-Ordaz, Sandra Eldridge, 2014, Clinical trials.

Cognitive Systems - Information Processing Meets Brain Science

Lionel Tarassenko, Michael G Kenward, R. G. M. Morris, 2005 .

Should baseline be a covariate or dependent variable in analyses of change from baseline in clinical trials? by G. F. Liu, K. Lu, R. Mogg, M. Mallick and D. V. Mehrotra, Statistics in Medicine 2009; 28:2509–2530

James R Carpenter, Michael G Kenward, Ian R White, 2010, Statistics in medicine.

The use of baseline covariates in crossover studies.

Michael G Kenward, James H Roger, M. Kenward, 2010, Biostatistics.

Estimation After a Group Sequential Trial

Geert Molenberghs, Geert Verbeke, Marie Davidian, 2014, Statistics in Biosciences.