The analysis of survival data

生存数据分析

基本信息

项目摘要

The analysis of survival data is of considerable interest to studies in Division of Epidemiology, Statistics and Prevention Research and also to biomedical research in general as the data encountered is typically of that nature. Our objective in this project is multifold: (1) Develop methods to analyze time to an event which have non-standard type of incompleteness, that are beyond right censoring, like random truncation, current status and interval censoring. Extensive literature exists for dealing with data which are randomly right censored However, more effort is needed to develop methods to deal with other type of incompleteness which occur frequently. For example, random truncation is frequently observed in many retrospective pregnancy studies where women are enrolled in the study only if they have gotten pregnant by start of study. (2) Develop methods to deal with multivariate survival data. This part of the project is necessitated by needs of many epidemiological studies, where the interest is not just in modeling one simple event of interest, but rather a host of complex events. The focus of this part is to develop methods to analyze multivariate survival data like the multistage data, recurrent events and competing risks data. Examples of such multivariate data can be found in various studies being conducted in DESPR, NICHD like LIFE study and other prospective pregnancy studies, Safe Labor to name few. The methods developed here will address questions like modeling of progression of labot through various stages, modeling time to pregnancy to delivery or loss. Also, motivated by need to better understand the risk factors associated with women who suffer repeated adverse outcomes associated with pregnancy loss, we intend to study modeling such events using both the competing risks data as well as recurrent events data
对生存数据的分析对流行病学、统计和预防研究司的研究以及一般的生物医学研究具有相当大的意义,因为所遇到的数据通常具有这种性质。我们在这个项目中的目标是多方面的:

项目成果

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Rajeshwari Sundaram其他文献

Rajeshwari Sundaram的其他文献

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{{ truncateString('Rajeshwari Sundaram', 18)}}的其他基金

The analysis of survival data
生存数据分析
  • 批准号:
    8736914
  • 财政年份:
  • 资助金额:
    $ 13.4万
  • 项目类别:
Statistical Modeling of Human Fecundity
人类生育力的统计模型
  • 批准号:
    10268067
  • 财政年份:
  • 资助金额:
    $ 13.4万
  • 项目类别:
The analysis of survival data
生存数据分析
  • 批准号:
    8149372
  • 财政年份:
  • 资助金额:
    $ 13.4万
  • 项目类别:
The analysis of survival data
生存数据分析
  • 批准号:
    8553962
  • 财政年份:
  • 资助金额:
    $ 13.4万
  • 项目类别:
Semiparametric inference of survival data
生存数据的半参数推断
  • 批准号:
    7734846
  • 财政年份:
  • 资助金额:
    $ 13.4万
  • 项目类别:
Statistical Modeling of Human Fecundity
人类生育力的统计模型
  • 批准号:
    8149388
  • 财政年份:
  • 资助金额:
    $ 13.4万
  • 项目类别:
Statistical Modeling of Human Fecundity
人类生育力的统计模型
  • 批准号:
    9550414
  • 财政年份:
  • 资助金额:
    $ 13.4万
  • 项目类别:
Longitudinal Investigation of Fertility and the Environment
生育力与环境的纵向调查
  • 批准号:
    10928024
  • 财政年份:
  • 资助金额:
    $ 13.4万
  • 项目类别:
The analysis of survival data
生存数据分析
  • 批准号:
    10928025
  • 财政年份:
  • 资助金额:
    $ 13.4万
  • 项目类别:
Statistical Modeling of Human Fecundity
人类生育力的统计模型
  • 批准号:
    10928026
  • 财政年份:
  • 资助金额:
    $ 13.4万
  • 项目类别:

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用于生物医学研究的系统脂质组学工具和资源;
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在质谱柱上结合分离、消化和电离,以实现蛋白质形式的生物医学研究
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