Statistical analyses with missing data: developing, maintaining and promoting accessible resources for social scientists
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.
Publications
Audigier V
(2018)
Multiple Imputation for Multilevel Data with Continuous and Binary Variables
in Statistical Science
Bartlett JW
(2011)
Multiple imputation models should incorporate the outcome in the model of interest.
in Brain : a journal of neurology
Bartlett JW
(2015)
Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model.
in Statistical methods in medical research
Carpenter
(2013)
Multiple Imputation and its Application
Carpenter J
(2014)
Wiley StatsRef: Statistics Reference Online
Goldstein H
(2014)
Fitting Multilevel Multivariate Models with Missing Data in Responses and Covariates that May Include Interactions and Non-Linear Terms
in Journal of the Royal Statistical Society Series A: Statistics in Society
Hughes RA
(2014)
Joint modelling rationale for chained equations.
in BMC medical research methodology
Ng ES
(2016)
Multilevel models for cost-effectiveness analyses that use cluster randomised trial data: An approach to model choice.
in Statistical methods in medical research
Seaman SR
(2012)
Multiple imputation of missing covariates with non-linear effects and interactions: an evaluation of statistical methods.
in BMC medical research methodology
| Title | R package for multiple imputation of missing data in IPD meta-analysis |
| Description | This is a software package developed in R that enables multiple imputation of missing data in IPD meta-analysis |
| Type Of Technology | Software |
| Year Produced | 2015 |
| Impact | No impacts as yet |
| Title | Software for substantive model compatible multiple imputation |
| Description | Statistical software for performing multiple imputation, consistent with the assumptions made by the substantive statistical analysis model. |
| Type Of Technology | Software |
| Year Produced | 2015 |
| Open Source License? | Yes |
| Impact | None so far. |
| URL | http://www.missingdata.org.uk |
| 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 | This 3 day workshop on missing data methods was hosted at the University of Southampton's Southampton Statistical Sciences Research Institute. The workshop was organised by ourselves and CASS (Courses in Applied Social Surveys). |
| Year(s) Of Engagement Activity | |
| URL | http://www.s3ri.soton.ac.uk/cass/showcourse.php?id=99 |
| Description | Multiple imputation and its application |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Primary Audience | |
| Results and Impact | This was a one day pre-conference short course held at the 2010 International Biometric Conference, in Florianópolis, Brazil. |
| Year(s) Of Engagement Activity | |