STATISTICAL METHODS FOR REPRODUCTIVE EPIDEMIOLOGY

生殖流行病学统计方法

基本信息

  • 批准号:
    3317691
  • 负责人:
  • 金额:
    $ 6.38万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    1987
  • 资助国家:
    美国
  • 起止时间:
    1987-05-01 至 1990-04-30
  • 项目状态:
    已结题

项目摘要

Currently reproductive epidemiology studies are performed to identify hazards to human reproduction, both in terms of occupational and environmental risk factors as well as host risk factors. The entire pregnancy history for a couple is taken in such a study. However, within a family, pregnancy outcomes are not independent events. For instance, some studies have suggested that within a family the occurrence of a fetal loss is associated with greater chance of subsequent fetal loss. In addition, this nonindependence is also true for outcomes such as preterm delivery and for low birth weight offspring. Thus, statistical procedures which assume independent observations may not give the correct interpretation to the results. The dependence of observations made in the same family has long been recognized in the analysis of data from animal studies and methods to deal with the problem in this context have been proposed. However, few methods have been proposed for use in the analysis of data from human reproductive studies. Methods proposed for analysis of animal data, where multiple conceptuses are exposed simultaneously, may not be appropriate for the analysis of human reproductive data in which exposure or other variables may vary from pregnancy to pregnancy. One such method has been proposed by Kissling (1981) and was applied to data from an occupational reproductive study. This work will examine four broad classes of models for use in the analysis of human reproductive outcomes. Methods for parameter estimation and hypothesis testing will be developed that can be used when observations are not independent, as is the case in reproductive studies. The properties of these estimators and tests will be extensively studied through a multitude of Monte Carlo simulation studies. These models will be applied to an existing occupational reproductive epidemiology data set examining the effects of styrene exposure on reproductive function. The results of analyses for the different models as well as for the analysis of this data set using the simple logistic model, which ignores the independence issue, will be compared and contrasted to each other.
目前正在进行生殖流行病学研究以确定

项目成果

期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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VICKI Stover HERTZBERG其他文献

VICKI Stover HERTZBERG的其他文献

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{{ truncateString('VICKI Stover HERTZBERG', 18)}}的其他基金

Sensor Hardware and Intelligent Tools for Assessing the Health Effects of Heat Exposure
用于评估热暴露对健康影响的传感器硬件和智能工具
  • 批准号:
    10522560
  • 财政年份:
    2022
  • 资助金额:
    $ 6.38万
  • 项目类别:
Sensor Hardware and Intelligent Tools for Assessing the Health Effects of Heat Exposure
用于评估热暴露对健康影响的传感器硬件和智能工具
  • 批准号:
    10703469
  • 财政年份:
    2022
  • 资助金额:
    $ 6.38万
  • 项目类别:
Machine Learning for Atrial Fibrillation Ablation
心房颤动消融的机器学习
  • 批准号:
    10115455
  • 财政年份:
    2021
  • 资助金额:
    $ 6.38万
  • 项目类别:
SCH: INT Re-envisioned Chat-assessment for Real-time Investigating of Nursing and Guidance
SCH:INT 重新设想的用于护理和指导实时调查的聊天评估
  • 批准号:
    9926403
  • 财政年份:
    2019
  • 资助金额:
    $ 6.38万
  • 项目类别:
SCH: INT Re-envisioned Chat-assessment for Real-time Investigating of Nursing and Guidance
SCH:INT 重新设想的用于护理和指导实时调查的聊天评估
  • 批准号:
    10221054
  • 财政年份:
    2019
  • 资助金额:
    $ 6.38万
  • 项目类别:
SCH: INT Re-envisioned Chat-assessment for Real-time Investigating of Nursing and Guidance
SCH:INT 重新设想的用于护理和指导实时调查的聊天评估
  • 批准号:
    10453755
  • 财政年份:
    2019
  • 资助金额:
    $ 6.38万
  • 项目类别:
SCH: INT Re-envisioned Chat-assessment for Real-time Investigating of Nursing and Guidance
SCH:INT 重新设想的用于护理和指导实时调查的聊天评估
  • 批准号:
    10018103
  • 财政年份:
    2019
  • 资助金额:
    $ 6.38万
  • 项目类别:
Data Science Core - Center for the Study of Symptom Science, Metabolomics and Multiple Chronic Conditions
数据科学核心 - 症状科学、代谢组学和多种慢性病研究中心
  • 批准号:
    10194618
  • 财政年份:
    2018
  • 资助金额:
    $ 6.38万
  • 项目类别:
Data Science Core - Center for the Study of Symptom Science, Metabolomics and Multiple Chronic Conditions
数据科学核心 - 症状科学、代谢组学和多种慢性病研究中心
  • 批准号:
    10456831
  • 财政年份:
    2018
  • 资助金额:
    $ 6.38万
  • 项目类别:
STATISTICAL METHODS FOR REPRODUCTIVE EPIDEMIOLOGY
生殖流行病学统计方法
  • 批准号:
    3317692
  • 财政年份:
    1987
  • 资助金额:
    $ 6.38万
  • 项目类别:

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