Analysis of realistically complex data with missing observations
Lead Research Organisation:
London School of Hygiene & Tropical Medicine
Department Name: Epidemiology and Population Health
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
People |
ORCID iD |
James Carpenter (Principal Investigator / Fellow) |
Publications
White IR
(2018)
A mean score method for sensitivity analysis to departures from the missing at random assumption in randomised trials.
in Statistica Sinica
Vansteelandt S
(2010)
Analysis of Incomplete Data Using Inverse Probability Weighting and Doubly Robust Estimators
in Methodology
Carpenter JR
(2013)
Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputation.
in Journal of biopharmaceutical statistics
Carpenter J
(2011)
Assessing the sensitivity of meta-analysis to selection bias: a multiple imputation approach.
in Biometrics
Bartlett JW
(2015)
Asymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic Regression.
in American journal of epidemiology
Goldstein H
(2018)
Bayesian Models for Weighted Data with Missing Values: A Bootstrap Approach
in Journal of the Royal Statistical Society Series C: Applied Statistics
Shah AD
(2014)
Comparison of random forest and parametric imputation models for imputing missing data using MICE: a CALIBER study.
in American journal of epidemiology
Bartlett JW
(2015)
Corrigendum: Improving upon the efficiency of complete case analysis when covariates are MNAR (10.1093/biostatistics/kxu023).
in Biostatistics (Oxford, England)
Royston Patrick
(2015)
Estimating the treatment effect in a clinical trial using difference in restricted mean survival time
in STATA JOURNAL
Welch CA
(2014)
Evaluation of two-fold fully conditional specification multiple imputation for longitudinal electronic health record data.
in Statistics in medicine
Carpenter, J. R.; Kenward, M. G.
(2014)
Handbook of Missing Data
Carpenter JR
(2015)
Handbook of missing data methodology
Carpenter JR
(2015)
Handbook of missing data methodology
Goldstein H
(2015)
Handbook of missing data methodology
Gibbons C
(2011)
Identification of risk factors by systematic review and development of risk-adjusted models for surgical site infection.
in Health technology assessment (Winchester, England)
Jackson D
(2012)
Identifying influential observations in Bayesian models by using Markov chain Monte Carlo.
in Statistics in medicine
Gomes M
(2012)
Methods for covariate adjustment in cost-effectiveness analysis that use cluster randomised trials.
in Health economics
Groenwold RH
(2012)
Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis.
in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne
Burzykowski T
(2010)
Missing data: discussion points from the PSI missing data expert group.
in Pharmaceutical statistics
Parmar MK
(2014)
More multiarm randomised trials of superiority are needed.
in Lancet (London, England)
Goldstein H
(2009)
Multilevel models with multivariate mixed response types
in Statistical Modelling
Carpenter
(2013)
Multiple Imputation and its Application
Carpenter, James; Kenward, Michael
(2013)
Multiple Imputation and Its Application
Ian Brunton-Smith (Author)
(2013)
Multiple Imputation for handling missing data in social research
in Social Research Update
Description | Developing and disseminating robust methods for handling missing data in eidemiological studies |
Amount | £481,000 (GBP) |
Funding ID | G0900724 |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 04/2010 |
End | 03/2013 |
Description | MRC Methodology Research Panel: Missing data in propensity score analyses of Electronic Health Records Data |
Amount | £400,000 (GBP) |
Funding ID | MR/M013278/1 |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2015 |
End | 09/2018 |
Description | MRC Methodology Research Panel: Multiple imputation by chained equations for data that are missing not at random |
Amount | £164,000 (GBP) |
Funding ID | MR/M025012/1 |
Organisation | Medical Research Council (MRC) |
Department | MRC/NIHR Methodology Research Programme |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 02/2016 |
End | 01/2019 |
Description | Statistical analyses with missing data : developing, maintaining and promoting accessible resources for social scientists |
Amount | £83,983 (GBP) |
Funding ID | ES/H022252/1 |
Organisation | Economic and Social Research Council |
Sector | Public |
Country | United Kingdom |
Start | 04/2010 |
End | 03/2011 |
Description | Strategies for handling missing data in the surveying prisoner crime reduction study |
Amount | £13,200 (GBP) |
Organisation | Ministry of Justice |
Sector | Public |
Country | United Kingdom |
Start | 11/2010 |
End | 12/2012 |
Description | Methods for missing data: multiple imputation and inverse probability weighting |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Primary Audience | |
Results and Impact | Three day course as part of the Courses in Applied Social Surveys, University of Southampton http://www.s3ri.soton.ac.uk/cass/ |
Year(s) Of Engagement Activity |
Description | Multiple imputation allowing for survey weights |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Primary Audience | |
Results and Impact | Presentation exploring the use of multiple imputation when the substantive model includes survey weights. |
Year(s) Of Engagement Activity |
Description | www.missingdata.org.uk |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Website devoted to analysis of partially observed data Web site |
Year(s) Of Engagement Activity | 2009 |