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Aggregate measures of family planning are used to monitor demand for andusage of contraceptive methods in populations globally, for example as part ofthe FP2030 initiative. Family planning measures for low- and middle-incomecountries are typically based on data collected through cross-sectionalhousehold surveys. Recently proposed measures account for sexual activitythrough assessment of the distribution of time-between-sex (TBS) in thepopulation of interest. In this paper, we propose a statistical approach toestimate the distribution of TBS using data typically available in low- andmiddle-income countries, while addressing two major challenges. The firstchallenge is that timing of sex information is typically limited to women'stime-since-last-sex (TSLS) data collected in the cross-sectional survey. In ourproposed approach, we adopt the current duration method to estimate thedistribution of TBS using the available TSLS data, from which the frequency ofsex at the population level can be derived. Furthermore, the observed TSLS dataare subject to reporting issues because they can be reported in different unitsand may be rounded off. To apply the current duration approach and account forthese data reporting issues, we develop a flexible Bayesian model, and providea detailed technical description of the proposed modeling approach.

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