Literature DB >> 34141052

Accounting for Informative Sampling in Estimation of Associations between Sexually Transmitted Infections and Hormonal Contraceptive Methods.

Anu Mishra1, Petra Buzkova1, Jennifer E Balkus2,3, Elizabeth R Brown1,2.   

Abstract

The relationship between hormonal contraceptive method use and sexually transmitted infections (STIs) 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.e. 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 STI 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 DMPA users have a significantly decreased hazard of T. vaginalis acquisition compared to IUD users (HR: 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.

Entities:  

Year:  2020        PMID: 34141052      PMCID: PMC8208830          DOI: 10.1515/scid-2019-0010

Source DB:  PubMed          Journal:  Stat Commun Infect Dis


  14 in total

1.  Panel count data regression with informative observation times.

Authors:  Petra Buzkova
Journal:  Int J Biostat       Date:  2010       Impact factor: 0.968

Review 2.  Hormonal contraceptive use and risk of sexually transmitted infections: a systematic review.

Authors:  Anshu P Mohllajee; Kathryn M Curtis; Summer L Martins; Herbert B Peterson
Journal:  Contraception       Date:  2005-11-02       Impact factor: 3.375

3.  Analysing panel count data with informative observation times.

Authors:  Chiung-Yu Huang; Mei-Cheng Wang; Ying Zhang
Journal:  Biometrika       Date:  2006-12       Impact factor: 2.445

4.  Joint modeling and analysis of longitudinal data with informative observation times.

Authors:  Yu Liang; Wenbin Lu; Zhiliang Ying
Journal:  Biometrics       Date:  2009-06       Impact factor: 2.571

5.  Use of a Vaginal Ring Containing Dapivirine for HIV-1 Prevention in Women.

Authors:  Jared M Baeten; Thesla Palanee-Phillips; Elizabeth R Brown; Katie Schwartz; Lydia E Soto-Torres; Vaneshree Govender; Nyaradzo M Mgodi; Flavia Matovu Kiweewa; Gonasagrie Nair; Felix Mhlanga; Samantha Siva; Linda-Gail Bekker; Nitesha Jeenarain; Zakir Gaffoor; Francis Martinson; Bonus Makanani; Arendevi Pather; Logashvari Naidoo; Marla Husnik; Barbra A Richardson; Urvi M Parikh; John W Mellors; Mark A Marzinke; Craig W Hendrix; Ariane van der Straten; Gita Ramjee; Zvavahera M Chirenje; Clemensia Nakabiito; Taha E Taha; Judith Jones; Ashley Mayo; Rachel Scheckter; Jennifer Berthiaume; Edward Livant; Cindy Jacobson; Patrick Ndase; Rhonda White; Karen Patterson; Donna Germuga; Beth Galaska; Katherine Bunge; Devika Singh; Daniel W Szydlo; Elizabeth T Montgomery; Barbara S Mensch; Kristine Torjesen; Cynthia I Grossman; Nahida Chakhtoura; Annalene Nel; Zeda Rosenberg; Ian McGowan; Sharon Hillier
Journal:  N Engl J Med       Date:  2016-02-22       Impact factor: 91.245

6.  Regression modeling of longitudinal data with outcome-dependent observation times: extensions and comparative evaluation.

Authors:  Kay See Tan; Benjamin French; Andrea B Troxel
Journal:  Stat Med       Date:  2014-07-23       Impact factor: 2.373

7.  Hormonal contraception and risk of sexually transmitted disease acquisition: results from a prospective study.

Authors:  J M Baeten; P M Nyange; B A Richardson; L Lavreys; B Chohan; H L Martin; K Mandaliya; J O Ndinya-Achola; J J Bwayo; J K Kreiss
Journal:  Am J Obstet Gynecol       Date:  2001-08       Impact factor: 8.661

8.  Use of injectable progestin contraception and risk of STI among South African women.

Authors:  Audrey Pettifor; Sinead Delany; Immo Kleinschmidt; William C Miller; Julius Atashili; Helen Rees
Journal:  Contraception       Date:  2009-07-16       Impact factor: 3.375

9.  Acquisition of Sexually Transmitted Infections among Women Using a Variety of Contraceptive Options: A prospective Study among High-risk African Women.

Authors:  Flavia Matovu Kiweewa; Elizabeth Brown; Anu Mishra; Gonasagrie Nair; Thesla Palanee-Phillips; Nyaradzo Mgodi; Clemensia Nakabiito; Nahida Chakhtoura; Sharon L Hillier; Jared M Baeten
Journal:  J Int AIDS Soc       Date:  2019-02       Impact factor: 5.396

Review 10.  Global Estimates of the Prevalence and Incidence of Four Curable Sexually Transmitted Infections in 2012 Based on Systematic Review and Global Reporting.

Authors:  Lori Newman; Jane Rowley; Stephen Vander Hoorn; Nalinka Saman Wijesooriya; Magnus Unemo; Nicola Low; Gretchen Stevens; Sami Gottlieb; James Kiarie; Marleen Temmerman
Journal:  PLoS One       Date:  2015-12-08       Impact factor: 3.240

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