An Introduction to the Bootstrap
- M. Kenward
- Mathematics
- 2007
15 Empirical Bayes Method, 2nd edition J.S. Maritz and T. Lwin (1989) Symmetric Multivariate and Related Distributions K.-T. Fang, S. Kotz and K. Ng (1989) Ieneralized Linear Models, 2nd edition P.…
Small sample inference for fixed effects from restricted maximum likelihood.
- M. Kenward, J. Roger
- MathematicsBiometrics
- 1 September 1997
A scaled Wald statistic is presented, together with an F approximation to its sampling distribution, that is shown to perform well in a range of small sample settings and has the advantage that it reproduces both the statistics and F distributions in those settings where the latter is exact.
Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
- J. Sterne, I. White, J. Carpenter
- BiologyBMJ : British Medical Journal
- 29 June 2009
The appropriate use and reporting of the multiple imputation approach to dealing with missing data is described by Jonathan Sterne and colleagues.
Distributed lag non-linear models
- A. Gasparrini, B. Armstrong, M. Kenward
- Environmental Science, MathematicsStatistics in Medicine
- 7 May 2010
A modelling framework that can simultaneously represent non-linear exposure–response dependencies and delayed effects, based on the definition of a ‘cross-basis’, which is implemented in the package dlnm within the statistical environment R.
Informative Drop‐Out in Longitudinal Data Analysis
- P. Diggle, M. Kenward
- Mathematics
- 1 March 1994
A model is proposed for continuous longitudinal data with non-ignorable or informative drop-out (ID). The model combines a multivariate linear model for the underlying response with a logistic…
Design and Analysis of Cross-Over Trials
- B. Jones, M. Kenward
- Mathematics
- 1 June 1989
Abstract This chapter provides an overview of recent developments in the design and analysis of cross-over trials. We first consider the analysis of the trial that compares two treatments, A and B,…
Multiple Imputation and its Application
- J. Carpenter, M. Kenward
- Computer Science
- 18 February 2013
The issues raised by missing data are clarified, the rationale for MI is outlined, the relationship between the various imputation models and associated algorithms are described, and how to consider and address the issues that arise in its application are described.
Informative dropout in longitudinal data analysis (with discussion)
- P. Diggle, M. Kenward
- Psychology
- 1994
Smoking cessation support delivered via mobile phone text messaging (txt2stop): a single-blind, randomised trial
- C. Free, R. Knight, Ian Roberts
- MedicineThe Lancet
- 30 June 2011
Missing Data in Clinical Studies
- G. Molenberghs, M. Kenward
- Mathematics
- 16 April 2007
Preface. Acknowledgements. I Preliminaries. 1 Introduction. 1.1 From Imbalance to the Field of Missing Data Research. 1.2 Incomplete Data in Clinical Studies. 1.3 MAR, MNAR, and Sensitivity Analysis.…
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