Cervical cancer precursors and hormonal contraceptive use in HIV-positive women: application of a causal model and semi-parametric estimation methods

To demonstrate the application of causal inference methods to observational data in the obstetrics and gynecology field, particularly causal modeling and semi-parametric estimation. Human immunodeficiency virus (HIV)-positive women are at increased risk for cervical cancer and its treatable precurso...

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Veröffentlicht in:	PloS one 2014-06, Vol.9 (6), p.e101090
Hauptverfasser:	Leslie, Hannah H, Karasek, Deborah A, Harris, Laura F, Chang, Emily, Abdulrahim, Naila, Maloba, May, Huchko, Megan J
Format:	Artikel
Sprache:	eng
Schlagworte:	Acquired immune deficiency syndrome AIDS Antiretroviral drugs Cancer Cancer screening Cervical cancer Cervix Confidence intervals Contraception Contraceptives, Oral, Hormonal - adverse effects Data processing Developing countries Female Gynecology Health aspects Health risk assessment Health risks HIV HIV patients HIV Seropositivity - complications Human immunodeficiency virus Human papillomavirus Humans Incidence Kenya - epidemiology LDCs Maximum likelihood estimation Medicine and health sciences Methods Models, Statistical Obstetrics Oral contraceptives Parameter estimation Physical Sciences Precursors Probabilistic methods Public health Research and Analysis Methods Risk analysis Risk factors Statistical analysis Uterine Cervical Neoplasms - epidemiology Uterine Cervical Neoplasms - etiology Viruses Womens health
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