Statistical Methods for Longitudinal Data and Meta-Analysis
Statistical Methods for Longitudinal Data and Meta-Analysis
批准号:
MC_EX_G0902100
负责人:
Jessica Barrett
金额:
$17.15万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2010
资助国家:
英国
项目状态:
已结题
起止时间:
2010 至 --
中文摘要
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英文摘要
One aspect of my work is to develop statistical methods to analyse data from the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS). Data from this trial consists of up to six annual sets of questionnaires from each participant. The questionnaires assess anxiety, sexual function and acceptability of the screening process. I will model how these three processes change over time, and how they depend on one another. There are several approaches to analysing this type of data, and I will explore the pros and cons of three different methods. The challenge in this work lies in the complexity of the UKCTOCS data-set. I will also use some of these methods to analyse data from the MRC Cognitive Function and Ageing Study.A second aspect of my work is to develop methods for use in meta-analysis. Meta-analysis refers to the pooling of data from different studies, and is used to provide an overview of the available evidence. I will investigate methods for the meta-analysis of data which consists of times to events. I will also explore the meta-analysis of treatment `networks', investigating the relative effects of a set of treatments for a given condition.
期刊论文(10)
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DOI:
10.1111/rssb.12060
发表时间:
2015-01
期刊:
Journal of the Royal Statistical Society. Series B, Statistical methodology
影响因子:
--
作者:
[Barrett J, Diggle P, Henderson R, Taylor-Robinson D]
通讯作者:
Taylor-Robinson D
DOI:
10.1002/jrsm.1044
发表时间:
2012-06
期刊:
RESEARCH SYNTHESIS METHODS
影响因子:
9.8
作者:
[Higgins, J. P. T., Jackson, D., Barrett, J. K., Lu, G., Ades, A. E., White, I. R.]
通讯作者:
White, I. R.
DOI:
10.1007/s12561-013-9097-6
发表时间:
2014
期刊:
STATISTICS IN BIOSCIENCES
影响因子:
1
作者:
[Barrett, Jessica K, Henderson, Robin, Rosthoj, Susanne]
通讯作者:
Rosthoj, Susanne
Dynamic predictions using flexible joint models of longitudinal and time-to-event data.
使用纵向和事件时间数据的灵活联合模型进行动态预测。
DOI:
10.1002/sim.7209
发表时间:
2017-04-30
期刊:
Statistics in medicine
影响因子:
2
作者:
[Barrett J, Su L]
通讯作者:
Su L
DOI:
10.1002/sim.5516
发表时间:
2012-12-30
期刊:
STATISTICS IN MEDICINE
影响因子:
2
作者:
[Barrett, Jessica K., Farewell, Vern T., Siannis, Fotios, Tierney, Jayne, Higgins, Julian P. T.]
通讯作者:
Higgins, Julian P. T.
共 7 条
Looking beyond the mean: what within-person variability can tell us about dementia, cardiovascular disease and cystic fibrosis
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批准号:MR/V020595/1
-
项目类别:Research Grant
-
资助金额:$62.05万
-
财政年份:2021
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负责人:Jessica Barrett
-
依托单位:
Statistical Methods for Longitudinal Data and Meta-Analysis
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批准号:MR/L501566/1
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项目类别:Fellowship
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资助金额:$10.17万
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财政年份:2013
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负责人:Jessica Barrett
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依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data
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批准号:60601030
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项目类别:青年科学基金项目
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资助金额:17.0万元
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批准年份:2006
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负责人:Axel Mosig
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依托单位: