Statistical Methods for Longitudinal Data and Meta-Analysis
Lead Research Organisation:
University of Cambridge
Department Name: Biostatistics
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.
Organisations
- University of Cambridge (Fellow, Lead Research Organisation)
- University College London (Collaboration)
- UNIVERSITY OF LEICESTER (Collaboration)
- Lancaster University (Collaboration)
- Australian National University (ANU) (Collaboration)
- Newcastle University (Collaboration)
- Hospital Sirio Libanes, Sao Paulo (Collaboration)
- IMPERIAL COLLEGE LONDON (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- The Cochrane Collaboration (Collaboration)
- University of Sussex (Collaboration)
- University of California, Berkeley (Collaboration)
- Universität Hamburg (Collaboration)
- London School of Hygiene and Tropical Medicine (LSHTM) (Collaboration)
- University of Helsinki (Collaboration)
- Medical Research Council (MRC) (Collaboration)
- UNIVERSITY OF LIVERPOOL (Collaboration)
- University of Bristol (Collaboration)
People |
ORCID iD |
| Jessica Barrett (Principal Investigator / Fellow) |
Publications
Barker RA
(2013)
Fetal dopaminergic transplantation trials and the future of neural grafting in Parkinson's disease.
in The Lancet. Neurology
Barrett J
(2015)
Joint modelling of repeated measurements and time-to-event outcomes: flexible model specification and exact likelihood inference.
in Journal of the Royal Statistical Society. Series B, Statistical methodology
Barrett J
(2017)
Disease Modelling and Public Health, Part A
Barrett J
(2014)
Psychological morbidity associated with ovarian cancer screening: results from more than 23,000 women in the randomised trial of ovarian cancer screening (UKCTOCS).
in BJOG : an international journal of obstetrics and gynaecology
Barrett J
(2017)
Dynamic predictions using flexible joint models of longitudinal and time-to-event data.
in Statistics in medicine
Barrett JK
(2019)
Estimating the association between blood pressure variability and cardiovascular disease: An application using the ARIC Study.
in Statistics in medicine
Barrett JK
(2014)
Doubly Robust Estimation of Optimal Dynamic Treatment Regimes.
in Statistics in biosciences
| Description | Lectures for MPhils in Epidemiology and Public Health |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| Description | Ovarian cancer screening - withdrawal from screening |
| Geographic Reach | North America |
| Policy Influence Type | Citation in clinical reviews |
| Title | Discrete-time joint modelling |
| Description | New method for fitting joint models of longitudinal and survival data when there is a discrete survival timescale. |
| Type Of Material | Data analysis technique |
| Year Produced | 2015 |
| Provided To Others? | Yes |
| Impact | The method is being applied in one clinical paper in preparation and the method has been further developed in one published paper and one paper in preparation. |
| Description | Breast cancer systematic reviews |
| Organisation | Hospital Sirio Libanes, Sao Paulo |
| Country | Brazil |
| Sector | Hospitals |
| PI Contribution | Intellectual input, writing and data analysis. |
| Collaborator Contribution | Intellectual input, literature searches, data extraction and analyses. |
| Impact | One Cochrane review has been published. A second Cochrane review is under review. A third paper has been published in Reports of Practical Oncology and Radiotherapy. |
| Start Year | 2012 |
| Description | Breast cancer systematic reviews |
| Organisation | The Cochrane Collaboration |
| Department | Brazilian Cochrane Centre (BCC) |
| Country | Brazil |
| Sector | Charity/Non Profit |
| PI Contribution | Intellectual input, writing and data analysis. |
| Collaborator Contribution | Intellectual input, literature searches, data extraction and analyses. |
| Impact | One Cochrane review has been published. A second Cochrane review is under review. A third paper has been published in Reports of Practical Oncology and Radiotherapy. |
| Start Year | 2012 |
| Description | Cardiovascular disease risk prediction using electronic health records |
| Organisation | Australian National University (ANU) |
| Department | National Centre for Epidemiology and Population Health |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Intellectual input and statistical analysis |
| Collaborator Contribution | Intellectual input and data provision |
| Impact | Papers: 1) In Statistics in medicine, doi: 10.1002/sim.7144 2) In American Journal of Epidemiology, doi: 10.1093/aje/kwx149 3) In American Journal of Epidemiology, doi: 10.1093/aje/kwy018 4) In American Journal of Epidemiology, doi: 10.1093/aje/kwab031 Book chapter: In Handbook of Statistics, doi: 10.1016/bs.host.2017.05.004 |
| Start Year | 2013 |
| Description | Cardiovascular disease risk prediction using electronic health records |
| Organisation | University College London |
| Department | Department of Chemistry |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Intellectual input and statistical analysis |
| Collaborator Contribution | Intellectual input and data provision |
| Impact | Papers: 1) In Statistics in medicine, doi: 10.1002/sim.7144 2) In American Journal of Epidemiology, doi: 10.1093/aje/kwx149 3) In American Journal of Epidemiology, doi: 10.1093/aje/kwy018 4) In American Journal of Epidemiology, doi: 10.1093/aje/kwab031 Book chapter: In Handbook of Statistics, doi: 10.1016/bs.host.2017.05.004 |
| Start Year | 2013 |
| Description | Cystic fibrosis |
| Organisation | Lancaster University |
| Department | Faculty of Health and Medicine |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Intellectual input, data analysis, writing. |
| Collaborator Contribution | Intellectual input, writing |
| Impact | Article published in JRSSB, DOI 10.1111/rssb.12060. A second paper is ready for submission. |
| Start Year | 2011 |
| Description | Cystic fibrosis |
| Organisation | Newcastle University |
| Department | School of Mathematics and Statistics |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Intellectual input, data analysis, writing. |
| Collaborator Contribution | Intellectual input, writing |
| Impact | Article published in JRSSB, DOI 10.1111/rssb.12060. A second paper is ready for submission. |
| Start Year | 2011 |
| Description | Cystic fibrosis |
| Organisation | University of Liverpool |
| Department | Institute of Psychology, Health and Society |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Intellectual input, data analysis, writing. |
| Collaborator Contribution | Intellectual input, writing |
| Impact | Article published in JRSSB, DOI 10.1111/rssb.12060. A second paper is ready for submission. |
| Start Year | 2011 |
| Description | Cystic fibrosis landmarking |
| Organisation | London School of Hygiene and Tropical Medicine (LSHTM) |
| Department | Medical Statistics |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Intellectual input and computing code |
| Collaborator Contribution | Intellectual input, computing code and data analysis. |
| Impact | One paper published in Epidemiology, doi 10.1097/EDE.0000000000000920 |
| Start Year | 2016 |
| Description | Network meta-analysis |
| Organisation | University of Cambridge |
| Department | MRC Biostatistics Unit |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Intellectual input and statistical program code |
| Collaborator Contribution | Intellectual input |
| Impact | 2 journal articles published in Research Synthesis Methods (DOIs 10.1002/jrsm.1044 and 10.1002/jrsm.1045), 2 articles published for Statistics in Medicine (DOIs 10.1002/sim.6188 and 10.1002/sim.6752) |
| Start Year | 2009 |
| Description | Prediction of post-surgery rupture of abdominal aortic anuerysms |
| Organisation | Imperial College London |
| Department | Department of Surgery and Cancer |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Intellectual input, data analysis |
| Collaborator Contribution | Intellectual input, data provision |
| Impact | One paper published as a Health Technology Assessment report, doi 10.3310/hta22050 one paper published in the British Journal of Surgery, doi 10.1002/bjs.10964 |
| Start Year | 2015 |
| Description | Prediction of post-surgery rupture of abdominal aortic anuerysms |
| Organisation | University of Hamburg |
| Department | Department of Vascular Medicine |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Intellectual input, data analysis |
| Collaborator Contribution | Intellectual input, data provision |
| Impact | One paper published as a Health Technology Assessment report, doi 10.3310/hta22050 one paper published in the British Journal of Surgery, doi 10.1002/bjs.10964 |
| Start Year | 2015 |
| Description | Prediction of post-surgery rupture of abdominal aortic anuerysms |
| Organisation | University of Helsinki |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | Intellectual input, data analysis |
| Collaborator Contribution | Intellectual input, data provision |
| Impact | One paper published as a Health Technology Assessment report, doi 10.3310/hta22050 one paper published in the British Journal of Surgery, doi 10.1002/bjs.10964 |
| Start Year | 2015 |
| Description | Prediction of post-surgery rupture of abdominal aortic anuerysms |
| Organisation | University of Leicester |
| Department | Department of Health Sciences |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Intellectual input, data analysis |
| Collaborator Contribution | Intellectual input, data provision |
| Impact | One paper published as a Health Technology Assessment report, doi 10.3310/hta22050 one paper published in the British Journal of Surgery, doi 10.1002/bjs.10964 |
| Start Year | 2015 |
| Description | Splines for joint modelling |
| Organisation | Medical Research Council (MRC) |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Intellectual input and writing computer code |
| Collaborator Contribution | Intellectual input |
| Impact | One paper published in Statistics in Medicine, and one paper published in Biometrics. |
| Start Year | 2013 |
| Description | Splines for joint modelling |
| Organisation | University of California, Berkeley |
| Department | Department of Integrative Biology |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Intellectual input and writing computer code |
| Collaborator Contribution | Intellectual input |
| Impact | One paper published in Statistics in Medicine, and one paper published in Biometrics. |
| Start Year | 2013 |
| Description | UKCTOCS |
| Organisation | University of Cambridge |
| Department | MRC Biostatistics Unit |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Data analysis and intellectual input |
| Collaborator Contribution | Provision of data and intellectual input |
| Impact | 3 journal articles (DOIs 10.1038/sj.bjc.6605809 , 10.1111/1471-0528.12870 and 10.1097/IGC.0000000000000507) |
| Start Year | 2008 |
| Description | UKCTOCS |
| Organisation | University of Sussex |
| Department | Brighton and Sussex Medical School |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Data analysis and intellectual input |
| Collaborator Contribution | Provision of data and intellectual input |
| Impact | 3 journal articles (DOIs 10.1038/sj.bjc.6605809 , 10.1111/1471-0528.12870 and 10.1097/IGC.0000000000000507) |
| Start Year | 2008 |
| Description | Within-individual variability |
| Organisation | London School of Hygiene and Tropical Medicine (LSHTM) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Intellectual input, data analysis, writing |
| Collaborator Contribution | Intellectual input |
| Impact | One paper published in Statistics in Medicine, doi 10.1002/sim.8074, one paper accepted by American Journal of Epidemiology One grant funded by MRC MRP |
| Start Year | 2016 |
| Description | Within-individual variability |
| Organisation | University of Bristol |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Intellectual input, data analysis, writing |
| Collaborator Contribution | Intellectual input |
| Impact | One paper published in Statistics in Medicine, doi 10.1002/sim.8074, one paper accepted by American Journal of Epidemiology One grant funded by MRC MRP |
| Start Year | 2016 |
| Description | Within-individual variability |
| Organisation | University of Edinburgh |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Intellectual input, data analysis, writing |
| Collaborator Contribution | Intellectual input |
| Impact | One paper published in Statistics in Medicine, doi 10.1002/sim.8074, one paper accepted by American Journal of Epidemiology One grant funded by MRC MRP |
| Start Year | 2016 |