{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T15:48:01Z","timestamp":1765554481461,"version":"3.48.0"},"reference-count":18,"publisher":"Walter de Gruyter GmbH","issue":"1","funder":[{"DOI":"10.13039\/100000060","name":"National Institute of Allergy and Infectious Diseases","doi-asserted-by":"publisher","award":["UM1AI068615UM1AI068633UM1AI106707"],"award-info":[{"award-number":["UM1AI068615UM1AI068633UM1AI106707"]}],"id":[{"id":"10.13039\/100000060","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009633","name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009633","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,1,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    The relationship between hormonal contraceptive method use and sexually transmitted infections is not well understood. Studies that implement routine screening for STIs among different contraceptive users, such as the ASPIRE HIV-1 prevention trial, can be useful for identifying potential risk factors of STIs. However, the complex nature of non-random data can lead to challenges in estimation of associations for potential risk factors. In particular, if screening for the disease is not random (i.\u00a0e. it is driven by symptoms or other clinical indicators), estimates of association can suffer from bias, often referred to as informative sampling bias. Time-varying predictors and potential stratification variables can further contribute to difficulty in obtaining unbiased estimates. In this paper, we estimate the association between time- varying contraceptive use and Sexually transmitted infections acquisition, in the presence of informative sampling, by extending the work Buzkova (2010). We use a two-step procedure to jointly model the non-random screening process and sexually transmitted infection risk. In the first step, inverse intensity rate ratios (IIRR) weights are estimated. In the second step, a weighted proportional rate model is fit to estimate the IIRR weighted hazard ratio. We apply the method to evaluate the relationship between hormonal contraception and risk of sexually transmitted infections among women participating in a biomedical HIV-1 prevention trial. We compare our results using the proposed weighted method to those generated using conventional approaches that do not account for potential informative sampling bias or do not use the full potential of the data. Using the IIRR weighted approach we found depot medroxyprogesterone acetate users have a significantly decreased hazard of\n                    <jats:italic>Trichomonas vaginalis<\/jats:italic>\n                    acquisition compared to IUD users (hazard ratio: 0.44, 95% CI: (0.25, 0.83)), which is consistent with the literature. We did not find significant increased or decreased hazard of other STIs for hormonal contraceptive users compared to non-hormonal IUD users.\n                  <\/jats:p>","DOI":"10.1515\/scid-2019-0010","type":"journal-article","created":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T06:01:28Z","timestamp":1594360888000},"source":"Crossref","is-referenced-by-count":0,"title":["Accounting for informative sampling in estimation of associations between sexually transmitted infections and hormonal contraceptive methods"],"prefix":"10.1515","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4662-0374","authenticated-orcid":false,"given":"Anu","family":"Mishra","sequence":"first","affiliation":[{"name":"University of Washington , Biostatistics , Box 357232 , Seattle , WA ,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Petra","family":"B\u016f\u017ekov\u00e1","sequence":"additional","affiliation":[{"name":"University of Washington , Department of Biostatistics , Seattle , WA , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer E.","family":"Balkus","sequence":"additional","affiliation":[{"name":"Fred Hutchinson Cancer Research Center , Vaccine and Infectious Disease Division , Seattle , WA , USA"},{"name":"University of Washington , Department of Epidemiology , Seattle , WA , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elizabeth R.","family":"Brown","sequence":"additional","affiliation":[{"name":"Fred Hutchinson Cancer Research Center , Vaccine and Infectious Disease Division , Seattle , WA , USA"},{"name":"University of Washington , Department of Epidemiology , Seattle , WA , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2020,7,5]]},"reference":[{"key":"2025121215222952202_j_scid-2019-0010_ref_001_w2aab3b7d222b1b6b1ab2b3b1Aa","doi-asserted-by":"crossref","unstructured":"Alkema, L., V. Kantorova, C. Menozzi, and A. Biddlecom. 2013. \u201cNational, regional, and global rates and trends in contraceptive prevalence and unmet need for family planning between 1990 and 2015: a systematic and comprehensive analysis.\u201d The Lancet 381: 1642\u20131652. https:\/\/doi.org\/10.1016\/s0140-6736(12)62204-1.","DOI":"10.1016\/S0140-6736(12)62204-1"},{"key":"2025121215222952202_j_scid-2019-0010_ref_002_w2aab3b7d222b1b6b1ab2b3b2Aa","doi-asserted-by":"crossref","unstructured":"Andersen, P. K. and R. D. Gill. 1982. \u201cCox\u2019s regression model for counting processes: a large sample study.\u201d The annals of statistics: 1100\u20131120. https:\/\/doi.org\/10.1214\/aos\/1176345976.","DOI":"10.1214\/aos\/1176345976"},{"key":"2025121215222952202_j_scid-2019-0010_ref_003_w2aab3b7d222b1b6b1ab2b3b3Aa","doi-asserted-by":"crossref","unstructured":"Baeten, J. M., P. M. Nyange, B. A. Richardson, L. Lavreys, B. Chohan, H. L. Martin, K. Mandaliya, J. O. Ndinya-Achola, J. J. Bwayo, and J. K. Kreiss. 2001. \u201cHormonal contraception and risk of sexually transmitted disease acquisition: results from a prospective study.\u201d American Journal of Obstetrics & Gynecology 185: 380\u2013385. https:\/\/doi.org\/10.1067\/mob.2001.115862.","DOI":"10.1067\/mob.2001.115862"},{"key":"2025121215222952202_j_scid-2019-0010_ref_004_w2aab3b7d222b1b6b1ab2b3b4Aa","doi-asserted-by":"crossref","unstructured":"Baeten, J. M., T. Palanee-Phillips, E. R. Brown, K. Schwartz, L. E. Soto-Torres, V. Govender, N. M. Mgodi, F. Matovu Kiweewa, G. Nair, F. Mhlanga, et al.. 2016. \u201cUse of a vaginal ring containing dapivirine for HIV-1 prevention in women.\u201d New England Journal of Medicine 375: 2121\u20132132. https:\/\/doi.org\/10.3410\/f.726166218.793526926.","DOI":"10.3410\/f.726166218.793526926"},{"key":"2025121215222952202_j_scid-2019-0010_ref_005_w2aab3b7d222b1b6b1ab2b3b5Aa","doi-asserted-by":"crossref","unstructured":"Borgdorff, H., M. C. Verwijs, F. W. Wit, E. Tsivtsivadze, G. F. Ndayisaba, R. Verhelst, F. H. Schuren, and J. H. van de Wijgert. 2015. \u201cThe impact of hormonal contraception and pregnancy on sexually transmitted infections and on cervicovaginal microbiota in african sex workers.\u201d Sexually transmitted diseases 42: 143\u2013152. https:\/\/doi.org\/10.1097\/olq.0000000000000245.","DOI":"10.1097\/OLQ.0000000000000245"},{"key":"2025121215222952202_j_scid-2019-0010_ref_006_w2aab3b7d222b1b6b1ab2b3b6Aa","doi-asserted-by":"crossref","unstructured":"Buzkova, P. 2010 \u201cPanel count data regression with informative observation times.\u201d The International Journal of Biostatistics 6. https:\/\/doi.org\/10.2202\/1557-4679.1239.","DOI":"10.2202\/1557-4679.1239"},{"key":"2025121215222952202_j_scid-2019-0010_ref_007_w2aab3b7d222b1b6b1ab2b3b7Aa","doi-asserted-by":"crossref","unstructured":"Buzkova, P. and T. Lumley. 2007. \u201cLongitudinal data analysis for generalized linear models with follow-up dependent on outcome-related variables.\u201d Canadian Journal of Statistics 35: 485\u2013500. https:\/\/doi.org\/10.1002\/cjs.5550350402.","DOI":"10.1002\/cjs.5550350402"},{"key":"2025121215222952202_j_scid-2019-0010_ref_008_w2aab3b7d222b1b6b1ab2b3b8Aa","doi-asserted-by":"crossref","unstructured":"Gursahaney, P. R., L. A. Meyn, S. L. Hillier, R. L. Sweet, and H. C. Wiesenfeld. 2010. \u201cCombined hormonal contraception may be protective against neisseria gonorrhoeae infection.\u201d Sexually Transmitted Diseases 37: 356\u2013360. https:\/\/doi.org\/10.1097\/olq.0b013e3181d40ff1.","DOI":"10.1097\/OLQ.0b013e3181d40ff1"},{"key":"2025121215222952202_j_scid-2019-0010_ref_009_w2aab3b7d222b1b6b1ab2b3b9Aa","doi-asserted-by":"crossref","unstructured":"Huang, C.-Y., M.-C. Wang, and Y. 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Ying. 2001. \u201cSemiparametric and nonparametric regression analysis of longitudinal data.\u201d Journal of the American Statistical Association 96: 103\u2013126. https:\/\/doi.org\/10.1198\/016214501750333018.","DOI":"10.1198\/016214501750333018"},{"key":"2025121215222952202_j_scid-2019-0010_ref_012_w2aab3b7d222b1b6b1ab2b3c12Aa","doi-asserted-by":"crossref","unstructured":"Matovu, F., E. Brown, A. Mishra, G. Nair, T. Palanee-Phillips, N. Mgodi, C. Nakabiito, N. Chakhtoura, S. Hillier, and J. Baeten. 2017. \u201cAcquisition of sexually transmitted infections among women using a variety of contraceptive options: a prospective study among high-risk African women.\u201d Journal of the International AIDS Society 23: 94\u201395. https:\/\/doi.org\/10.1002\/jia2.25257.","DOI":"10.1002\/jia2.25257"},{"key":"2025121215222952202_j_scid-2019-0010_ref_013_w2aab3b7d222b1b6b1ab2b3c13Aa","doi-asserted-by":"crossref","unstructured":"Mohllajee, A. P., K. M. Curtis, S. L. Martins, and H. B. 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