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Bayesian matched logistic regression models that accounted for the imperfect sensitivity and specificity of self-reports of VF symptoms were used for effect size estimation.Up to 27 surveys were pooled, including responses from 332,889 women.
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The primary objective of this paper is thus to examine the association between selected individual risk factors and lifetime prevalence of self-reported VF symptoms, such as literacy status, education level, female genital mutilation (FGM), sexual violence, short stature, age at first sexual intercourse, age at first birth, and women’s ability to get permission to seek health care.
By pooling surveys from different countries, we hope to improve the representativeness and precision of the effect size measures for those risk factors.
The advisors are specially trained staff and faculty who have expertise in the UC Davis sexual harassment policy and complaint resolution.
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