当前持续时间数据的贝叶斯分析与报告问题：应用于从低收入和中等收入国家横断面调查中收集的自上次性行为以来的时间数据估计性别间时间分布
A Bayesian analysis of current duration data with reporting issues: an application to estimating the distribution of time-between-sex from time-since-last-sex data as collected in cross-sectional surveys in low- and middle-income countries
摘要：
计划生育综合措施用于监测全球人口对避孕方法的需求和使用情况，例如作为FP2030倡议的一部分。低收入和中等收入国家的计划生育措施通常以通过跨部门住户调查收集的数据为基础。最近提出的措施通过评估感兴趣人群的性行为间隔时间（TBS）分布来解释性活动。在本文中，我们提出了一种统计方法来估计TBS的分布使用通常在低收入和中等收入国家的数据，同时解决两个主要的挑战。第一个挑战是，性信息的时间通常仅限于妇女的时间，因为上次性行为（TSLS）数据收集的横断面调查。在我们提出的方法中，我们采用当前的持续时间的方法来估计TBS的分布使用现有的TSLS数据，从人口水平的性别频率可以得出。此外，观察到的TSLS数据会出现报告问题，因为它们可以用不同的单位报告，并可能四舍五入。为了应用当前的持续时间方法并解决这些数据报告问题，我们开发了一个灵活的贝叶斯模型，并对所提出的建模方法进行了详细的技术描述。
英文摘要：
Aggregate measures of family planning are used to monitor demand for and usage of contraceptive methods in populations globally, for example as part of the FP2030 initiative. Family planning measures for low- and middle-income countries are typically based on data collected through cross-sectional household surveys. Recently proposed measures account for sexual activity through assessment of the distribution of time-between-sex (TBS) in the population of interest. In this paper, we propose a statistical approach to estimate the distribution of TBS using data typically available in low- and middle-income countries, while addressing two major challenges. The first challenge is that timing of sex information is typically limited to women's time-since-last-sex (TSLS) data collected in the cross-sectional survey. In our proposed approach, we adopt the current duration method to estimate the distribution of TBS using the available TSLS data, from which the frequency of sex at the population level can be derived. Furthermore, the observed TSLS data are subject to reporting issues because they can be reported in different units and may be rounded off. To apply the current duration approach and account for these data reporting issues, we develop a flexible Bayesian model, and provide a detailed technical description of the proposed modeling approach.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
