Michael G Kenward
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Explore the profile of Michael G Kenward including associated specialties, affiliations and a list of published articles.
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67
Citations
4940
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Recent Articles
1.
Gasparrini A, Scheipl F, Armstrong B, Kenward M
Biometrics
. 2022 Jul;
78(2):812.
PMID: 35788918
No abstract available.
2.
Cro S, Morris T, Kenward M, Carpenter J
Stat Med
. 2020 May;
39(21):2815-2842.
PMID: 32419182
Missing data due to loss to follow-up or intercurrent events are unintended, but unfortunately inevitable in clinical trials. Since the true values of missing data are never known, it is...
3.
Gomes M, Kenward M, Grieve R, Carpenter J
Stat Med
. 2020 Feb;
39(11):1658-1674.
PMID: 32059073
Nonignorable missing data poses key challenges for estimating treatment effects because the substantive model may not be identifiable without imposing further assumptions. For example, the Heckman selection model has been...
4.
Atkinson A, Kenward M, Clayton T, Carpenter J
Pharm Stat
. 2019 Jul;
18(6):645-658.
PMID: 31309730
The analysis of time-to-event data typically makes the censoring at random assumption, ie, that-conditional on covariates in the model-the distribution of event times is the same, whether they are observed...
5.
Cro S, Carpenter J, Kenward M
J R Stat Soc Ser A Stat Soc
. 2019 Mar;
182(2):623-645.
PMID: 30828138
Analysis of longitudinal randomized clinical trials is frequently complicated because patients deviate from the protocol. Where such deviations are relevant for the estimand, we are typically required to make an...
6.
Judah G, Gardner B, Kenward M, DeStavola B, Aunger R
BMC Psychol
. 2018 Dec;
6(1):62.
PMID: 30572936
Background: Habits (learned automatic responses to contextual cues) are considered important in sustaining health behaviour change. While habit formation is promoted by repeating behaviour in a stable context, little is...
7.
Cro S, Morris T, Kenward M, Carpenter J
Stata J
. 2018 Feb;
16(2):443-463.
PMID: 29398978
Randomized controlled trials provide essential evidence for the evaluation of new and existing medical treatments. Unfortunately, the statistical analysis is often complicated by the occurrence of protocol deviations, which mean...
8.
Morris T, Fisher D, Kenward M, Carpenter J
Stat Med
. 2018 Jan;
37(9):1419-1438.
PMID: 29349792
Quantitative evidence synthesis through meta-analysis is central to evidence-based medicine. For well-documented reasons, the meta-analysis of individual patient data is held in higher regard than aggregate data. With access to...
9.
Hughes R, Kenward M, Sterne J, Tilling K
J Stat Comput Simul
. 2017 May;
87(8):1541-1558.
PMID: 28515536
The linear mixed model with an added integrated Ornstein-Uhlenbeck (IOU) process (linear mixed IOU model) allows for serial correlation and estimation of the degree of derivative tracking. It is rarely...
10.
Gasparrini A, Scheipl F, Armstrong B, Kenward M
Biometrics
. 2017 Jan;
73(3):938-948.
PMID: 28134978
Distributed lag non-linear models (DLNMs) are a modelling tool for describing potentially non-linear and delayed dependencies. Here, we illustrate an extension of the DLNM framework through the use of penalized...