Estimating duration in partnership studies: issues, methods and examples.
Estimating duration in partnership studies: issues, methods and examples.
复制标题
DOI：
10.1136/sti.2009.037960
复制
发表时间：
2010-04
影响因子：
3.6
通讯作者：
Holmes KK
中科院分区：
文献类型：
--
作者：
Burington B;Hughes JP;Whittington WL;Stoner B;Garnett G;Aral SO;Holmes KK
了解性伙伴关系的时间进程对于了解性行为、性传播感染的传播风险和建立疾病传播的数学模型非常重要。作者描述了估计伙伴关系持续时间时出现的审查，截断和抽样有关的问题和偏见。研究设计和分析方法的建议，并说明使用的数据从性行为调查，招募个人从一个卫生保健诊所和两个性病诊所。调查参与者被问及，对于过去3个月内（最多）四种伴侣关系中的每一种，第一次性行为的月份和年份，自上次性行为以来的天数以及伴侣关系是否仅限于单次相遇。参与者每4个月随访一次，持续1年。在对删失和截断进行调整后，性伴侣关系的估计中位持续时间从9个月（未调整）下降到1.6个月（调整）。同样，在考克斯模型中，删失和截断的调整降低了年龄效应相对风险的偏倚。其他方法，如加权估计，也减少了估计的持续时间分布的偏差。方法可用于估计合作伙伴关系持续时间从删失和截断样本。忽略删失、截断和其他抽样问题会导致有偏估计。
Understanding the time course of sexual partnerships is important for understanding sexual behaviour, transmission risks for sexually transmitted infections (STI) and development of mathematical models of disease transmission. The authors describe issues and biases relating to censoring, truncation and sampling that arise when estimating partnership duration. Recommendations for study design and analysis methods are presented and illustrated using data from a sexual-behaviour survey that enrolled individuals from an adolescent-health clinic and two STD clinics. Survey participants were queried, for each of (up to) four partnerships in the last 3 months, about the month and year of first sex, the number of days since last sex and whether partnerships were limited to single encounters. Participants were followed every 4 months for up to 1 year. After adjustment for censoring and truncation, the estimated median duration of sexual partnerships declined from 9 months (unadjusted) to 1.6 months (adjusted). Similarly, adjustment for censoring and truncation reduced the bias in relative risks for the effect of age in a Cox model. Other approaches, such as weighted estimation, also reduced bias in the estimated duration distribution. Methods are available for estimating partnership duration from censored and truncated samples. Ignoring censoring, truncation and other sampling issues results in biased estimates.
登录
查看更多内容
影响因子：
12.7
作者：
Aral, SO;Hughes, JP;Holmes, KK
通讯作者：
Holmes, KK
影响因子：
3.1
作者：
GARNETT, GP;ANDERSON, RM
通讯作者：
ANDERSON, RM
影响因子：
5
作者：
Manhart, LE;Aral, SO;Foxman, B
通讯作者：
Foxman, B
影响因子：
3.6
作者：
Renton, AM;Whitaker, L;Riddlesdell, M
通讯作者：
Riddlesdell, M
影响因子：
3.1
作者：
Chen, Mark I.;Ghani, Azra C.;Edmunds, John
通讯作者：
Edmunds, John