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1.
Demography ; 37(2): 187-92, 2000 May.
Article in English | MEDLINE | ID: mdl-10836176

ABSTRACT

With the widespread availability of event-history data, demographers have increasingly eschewed registration-system data in favor of survey data. We propose instead using survey and registration-system data in combination, via a constrained maximum-likelihood framework for demographic hazard modeling. As an application, we combine panel survey data and birth registration data to estimate annual birth probabilities by parity. The general fertility rate obtained from registration-system data constrains the weighted sum of parity-specific birth probabilities. The variances about the parity-specific birth probabilities are halved when registration-system data are used to constrain the estimates. Other demographic applications are discussed.


Subject(s)
Birth Certificates , Birth Rate , Registries , Adolescent , Adult , Bias , Data Collection , Data Interpretation, Statistical , Demography , England/epidemiology , Female , Humans , Infant, Newborn , Likelihood Functions , Models, Statistical , Wales/epidemiology
2.
AIDS ; 10(11): 1265-71, 1996 Sep.
Article in English | MEDLINE | ID: mdl-8883589

ABSTRACT

OBJECTIVE: To determine the extent to which men provide a bridge population between commercial sex workers (CSW) and the general female population in Thailand. DESIGN: Sexual network and serological data were collected from a systematic quota sample of low income men and truckers during 1992 in three Thailand provinces. Completed sample size was 1075 men aged 17-45 years and 330 truckers. METHODS: Sexual network information was used to identify those men who have sex with both female CSW and non-CSW partners (the 'bridge population'). A new method was used for calculating the partner acquisition rate and to establish the potential number of women exposed to HIV via inconsistent condom use among the bridge population. RESULTS: Approximately 17% of men and 25% of truckers can be included in the bridge population. These men are more likely to be HIV-positive and to have had at least one other sexually transmitted infection in the past year (odds ratio, 2.2 and 3.4, respectively). Consistent condom use with CSW is less than 30%, and is less than 1% with non-CSW partners. As a result, 30 women in the general population were potentially exposed to HIV per 100 sexually active men in the last year:nine women each additional year. Younger men and truckers expose almost twice as many women to HIV; more female peers than wives are exposed. CONCLUSION: Bridge populations may be as important as "core groups' for the spread of HIV into the general Thai population. Young men and women are strategic intervention targets because they have more partners, are more likely to be in bridging networks, and are more receptive to condom use.


Subject(s)
Acquired Immunodeficiency Syndrome/epidemiology , HIV Infections/epidemiology , Acquired Immunodeficiency Syndrome/transmission , Adolescent , Adult , Female , HIV Infections/transmission , Humans , Incidence , Male , Middle Aged , Thailand/epidemiology
3.
Bioelectromagnetics ; 13(5): 429-33, 1992.
Article in English | MEDLINE | ID: mdl-1445423

ABSTRACT

This paper analyzes data from a study conducted by the United States Office of Naval Research on the effects of pulsed magnetic fields on chick embryos. The experiment involved incubation of eggs under carefully controlled conditions in six different laboratories. The original analysis included inappropriate statistical methodology for analyzing the experimental results. Since the conclusions from this study rest so heavily on the results of statistical analyses, choosing the proper methodology is imperative. The major aim of this paper then is to introduce more appropriate analytic tools and illustrate their use in the present context. Qualitatively our results agree with those of the original analysis; our findings about interactions between effects, however, makes interpretation of these effects more subtle. We apply linear logistic modeling to counts of damaged embryos, using as covariates factors corresponding to exposure, laboratory, incubator, run, and measurements of background radiation. This facilitates estimation of the size of the effects. The effects of laboratory, incubator, and run are explored both as fixed and random effects. We find statistically significant exposure and laboratory effects, in accordance with the original study. However, we also find that the inter-laboratory variation in exposure effect is at least as large as the exposure effect itself. The presence of such effects fundamentally alters the interpretation of the fitted model, as is graphically presented.


Subject(s)
Chick Embryo/growth & development , Chick Embryo/radiation effects , Electromagnetic Fields/adverse effects , Animals , Research Design , Statistics as Topic
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