Statistical methods for longitudinal and survival data
纵向和生存数据的统计方法
基本信息
- 批准号:RGPIN-2018-04398
- 负责人:
- 金额:$ 1.31万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2022
- 资助国家:加拿大
- 起止时间:2022-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The focus of the proposed research is the development of new statistical methods for the analysis of time to event (survival) data and longitudinal/clustered outcomes. The objectives of the research program are: to compare the effects of accrual on sample size/power in cluster randomized trials that measure survival outcomes; to develop approaches for estimation of the intraclass correlation coefficient (ICC) for survival time outcomes in the presence of censoring; to develop statistical methods for interval estimation for standardized event ratios (SERs) when information on follow up time is available; to investigate regression modelling for progression-free and overall survival.In cluster randomized trials, groups of individuals (e.g. families) are randomized to treatment or intervention groups and the correlation among individuals within groups must be taken into account. New sample size/power calculation approaches in this context will be developed to include patient recruitment (accrual) information.The ICC is estimated to quantify correlation among observations within a cluster where clusters comprise individuals found in intact groups such as families, as in estimating heritability in genetic studies. When outcomes of interest are survival times, censored observations are missing exact event times. For clustered survival times, estimation of ICC is complicated by these missing survival times. New methods for estimating ICC that include both censored and uncensored observations will be developed. Standardized incidence ratios and standardized mortality ratios are examples of standardized event ratios (SERs). These ratios provide comparisons of observed versus expected events of interest. Historically, SER confidence intervals have focused on assuming a Poisson distribution for observed counts and assuming that expected counts are fixed. New methods for SER interval estimation will be developed for the scenario where follow up times are available for individuals and it is of interest to compare centres with respect to the event of interest, as in comparing standardized transplant ratios among kidney transplant centres. Often both overall survival (OS) (time to death) and progression-free survival (PFS) (time to disease progression) are of interest in clinical trials. For health economic analyses, individual clinical trial outcomes are not always available and published PFS and OS curves are used to recreate data for cost benefit analyses. Regression models that can investigate treatment effects while controlling for covariates will be developed. In addition, the impact of availability of only published PFS and OS summary curves rather than individual-level data will be investigated. The requested funding will be used primarily to support students. Recent awards recognizing mentorship speak to the quality of student supervision that will be provided.
拟议研究的重点是开发新的统计方法,用于分析事件发生时间(生存)数据和纵向/聚类结果。研究项目的目的是:比较在测量生存结局的整群随机试验中累积对样本量/功效的影响;开发在删失存在下估计生存时间结局的组内相关系数(ICC)的方法;开发在可获得随访时间信息时估计标准化事件比率(Sers)的区间的统计方法;研究无进展生存期和总生存期的回归模型。在整群随机试验中,将一组个体(例如家庭)随机分配到治疗组或干预组,必须考虑组内个体之间的相关性。在这种情况下,将开发新的样本量/功效计算方法,以包括患者招募(应计)information.The ICC估计,以量化集群内的观察结果之间的相关性,其中集群包括在完整的群体,如家庭中发现的个人,在遗传研究中估计遗传力。当关注的结局是生存时间时,删失观察缺失确切的事件时间。对于聚集的生存时间,ICC的估计因这些缺失的生存时间而变得复杂。将开发包括删失和未删失观察的估计ICC的新方法。标准化发病率比和标准化死亡率比是标准化事件比(Sers)的例子。这些比率提供了观察到的与预期的关注事件的比较。从历史上看,SER置信区间一直专注于假设观察计数的泊松分布,并假设预期计数是固定的。将为个人随访时间可用的情况开发SER间期估计的新方法,并且比较中心对关注事件的关注,如比较肾移植中心之间的标准化移植比率。通常,总生存期(OS)(至死亡的时间)和无进展生存期(PFS)(至疾病进展的时间)都是临床试验的关注点。对于卫生经济学分析,个体临床试验结局并不总是可用的,已发表的PFS和OS曲线用于重新创建成本效益分析的数据。将开发能够研究治疗效果同时控制协变量的回归模型。此外,将研究仅发表的PFS和OS汇总曲线而非个体水平数据可用性的影响。所申请的资金将主要用于支持学生。最近的奖项承认导师说话的质量,将提供学生的监督。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Darlington, Gerarda其他文献
Dairy and Plant-Based Dairy Alternatives Purchasing Habits of Guelph-Based Families with Preschool-Aged Children
- DOI:
10.3148/cjdpr-2020-018 - 发表时间:
2020-12-01 - 期刊:
- 影响因子:0.9
- 作者:
Laila, Amar;Darlington, Gerarda;Buchholz, Andrea C. - 通讯作者:
Buchholz, Andrea C.
Exponential decay for binary time-varying covariates in Cox models
- DOI:
10.1002/sim.7539 - 发表时间:
2018-02-28 - 期刊:
- 影响因子:2
- 作者:
Keown-Stoneman, Charles Donald George;Horrocks, Julie;Darlington, Gerarda - 通讯作者:
Darlington, Gerarda
The degree of food processing is associated with anthropometric measures of obesity in Canadian families with preschool-aged children.
- DOI:
10.3389/fnut.2022.1005227 - 发表时间:
2022 - 期刊:
- 影响因子:5
- 作者:
Ashraf, Rahbika;Duncan, Alison M.;Darlington, Gerarda;Buchholz, Andrea C.;Haines, Jess;Ma, David W. L. - 通讯作者:
Ma, David W. L.
Free sugar intake from snacks and beverages in Canadian preschool- and toddler-aged children: a cross-sectional study.
- DOI:
10.1186/s40795-023-00702-3 - 发表时间:
2023-03-08 - 期刊:
- 影响因子:2
- 作者:
Yu, Jessica;Mahajan, Anisha;Darlington, Gerarda;Buchholz, Andrea C.;Duncan, Alison M.;Haines, Jess;Ma, David W. L.;Guelph Family Hlth Study - 通讯作者:
Guelph Family Hlth Study
Examination of associations between chaos in the home environment, serum cortisol level, and dietary fat intake among parents of preschool-age children
- DOI:
10.1139/apnm-2016-0659 - 发表时间:
2017-07-01 - 期刊:
- 影响因子:3.4
- 作者:
MacRae, Laura M.;Darlington, Gerarda;Ma, David W. L. - 通讯作者:
Ma, David W. L.
Darlington, Gerarda的其他文献
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{{ truncateString('Darlington, Gerarda', 18)}}的其他基金
Statistical methods for longitudinal and survival data
纵向和生存数据的统计方法
- 批准号:
RGPIN-2018-04398 - 财政年份:2021
- 资助金额:
$ 1.31万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for longitudinal and survival data
纵向和生存数据的统计方法
- 批准号:
RGPIN-2018-04398 - 财政年份:2020
- 资助金额:
$ 1.31万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for longitudinal and survival data
纵向和生存数据的统计方法
- 批准号:
RGPIN-2018-04398 - 财政年份:2019
- 资助金额:
$ 1.31万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for longitudinal and survival data
纵向和生存数据的统计方法
- 批准号:
RGPIN-2018-04398 - 财政年份:2018
- 资助金额:
$ 1.31万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for correlated data
相关数据的统计方法
- 批准号:
121829-2011 - 财政年份:2016
- 资助金额:
$ 1.31万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for correlated data
相关数据的统计方法
- 批准号:
121829-2011 - 财政年份:2014
- 资助金额:
$ 1.31万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for correlated data
相关数据的统计方法
- 批准号:
121829-2011 - 财政年份:2013
- 资助金额:
$ 1.31万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for correlated data
相关数据的统计方法
- 批准号:
121829-2011 - 财政年份:2012
- 资助金额:
$ 1.31万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods for correlated data
相关数据的统计方法
- 批准号:
121829-2011 - 财政年份:2011
- 资助金额:
$ 1.31万 - 项目类别:
Discovery Grants Program - Individual
Statistical methods in health studies
健康研究中的统计方法
- 批准号:
121829-2005 - 财政年份:2010
- 资助金额:
$ 1.31万 - 项目类别:
Discovery Grants Program - Individual
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