| Title | Analyzing multiply matched cohort studies with two different comparison groups: application to pregnancy rates among HIV+ women. |
| Publication Type | Journal Article |
| Year of Publication | 2003 |
| Authors | Li, Yan, Daniel Zelterman, and Brian W. C. Forsyth |
| Journal | Biometrics |
| Volume | 59 |
| Issue | 3 |
| Pagination | 632-9 |
| Date Published | 2003 Sep |
| ISSN | 0006-341X |
| Keywords | Biometry, Cohort Studies, Connecticut, Female, HIV Infections, Humans, Likelihood Functions, Linear Models, Models, Statistical, Pregnancy, Pregnancy Complications, Infectious, Substance-Related Disorders |
| Abstract | We develop a new statistical method to analyze multiply matched cohort studies with two different comparison groups. We employ a linear-logistic model to describe the underlying log-odds ratios and use a conditional likelihood approach to conduct inference. Under the assumption of homogeneous log-odds ratios, we provide methods to construct both asymptotic and exact confidence regions of the two log-odds ratios in a simple case. We propose a score test to evaluate the assumption of homogeneous log-odds ratios across strata. While our methods are general, we develop them around a specific application, namely, the study of pregnancy rates in HIV-infected women. Our analyses suggest that HIV infection is associated with a decrease in pregnancy rates and that this decrease in fertility becomes significant after accounting for illicit drug use. |
| Alternate Journal | Biometrics |
