2020
DOI: 10.1363/46e8520
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Applying Inverse Probability Weighting to Measure Contraceptive Prevalence Using Data from a Community-Based Reproductive Health Intervention in Pakistan

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Cited by 4 publications
(2 citation statements)
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“…For a parent study, a sample size of 1836 (~2000) from each area intervention and control area was required assuming an estimated modern contraceptive prevalence rate of below 30% in selected areas, methodology has been described in detail elsewhere. 43 A three-stage random sampling design was carried out in STATA using a uniform (0, 1) random number generator with a fixed seed. First, we used geographical information systems technology to construct a sampling frame with distinct area and cluster demarcation of the survey sites, forming 708 clusters in total.…”
Section: Sample Size and Sampling Strategymentioning
confidence: 99%
“…For a parent study, a sample size of 1836 (~2000) from each area intervention and control area was required assuming an estimated modern contraceptive prevalence rate of below 30% in selected areas, methodology has been described in detail elsewhere. 43 A three-stage random sampling design was carried out in STATA using a uniform (0, 1) random number generator with a fixed seed. First, we used geographical information systems technology to construct a sampling frame with distinct area and cluster demarcation of the survey sites, forming 708 clusters in total.…”
Section: Sample Size and Sampling Strategymentioning
confidence: 99%
“…16 Pakistan is committed to improve contraceptive prevalence rate (CPR) so in a recent interventional study published in 2020, estimates made using Inverse probability weighting (IPW) showed that the contraceptive prevalence rate (CPR) was increased from 51% to 64%, while the modern contraceptive prevalence rate (mCPR) increased from 34% to 53%. 17 Pakistan is facing high burden of abortion as well and practices related to abortion are poor too. There is under-reporting of abortions and usually indirect methods of exploring such events is better in estimating correct figures.…”
Section: Introductionmentioning
confidence: 99%