James Carpenter BSc MSc DPhil FHEA
- James Carpenter's Contacts

- Room G32b
- LSHTM
- Keppel Street
- London
- WC1E 7HT
- T: +44 (0)20 7927 2033
- F: +44 (0)20 7637 2853
Background
I joined the School in 1998 from the Department of Statistics, Oxford University, where I studied for my doctorate.
Affiliation
Centres
Teaching
In Autumn 2013 I will teach the introduction to Bayesian Statistics course for the MSc Medical Statistics. I also contribute to the Advanaced Statistical Modelling course. Currently, I am chair of Examiners for the MSc Medical Statistics.
Research
My principal research interests are coping with missing data in complex hierarchical models, sensitivity analysis, meta-analysis and adaptive designs.
Research areas
- Clinical databases
- Clinical trials
- Modelling
- Statistical methods
Disciplines
- Epidemiology
- Pharmacoepidemiology
- Statistics
Other interests
- Missing Data
- Multilevel Models Bootstrap Methods
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Selected publications
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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. ;
J Biopharm Stat, 2013; 23(6):1352-71
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Multiple imputation and its application
Carpenter, J.; R.; Kenward, M.; G.;
Wiley (Chichester) 2013 :364
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Assessing the Sensitivity of Meta-analysis to Selection Bias: A Multiple Imputation Approach.
Carpenter, J.; Rücker, G.; Schwarzer, G.;
Biometrics, 2011; 67(3):1066-72
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REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types
Carpenter, J.R.; Goldstein, H.; Kenward, M.G.
Journal of Statistical Software, 2011; 45(5):1-14
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Multiple imputation: current perspectives.
Kenward, M.G.; Carpenter, J.;
Stat Methods Med Res, 2007; 16(3):199-218
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Sensitivity analysis after multiple imputation under missing at random: a weighting approach.
Carpenter, J.R.; Kenward, M.G.; White, I.R.;
Stat Methods Med Res, 2007; 16(3):259-75
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A comparison of multiple imputation and doubly robust estimation for analyses with missing data
Carpenter, J. R.; Kenward, M. G.; Vansteelandt, S.
Journal of the Royal Statistical Society Series a-Statistics in Society, 2006; 169:571-584
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