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All models included age, body mass index, and sex, and much of the predictive information in any phenotype based model is likely to be encompassed in these terms.
Although the home based model is likely to reach populations that previously had little access to VCT there is need to further compare this approach to the facility based model in terms of cost and its effect on reduction of HIV risk behavior.
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Considering the partial recursive functions approach further, Epstein (2007) discusses how unnatural or "unrecognizable" this expression of an agent-based model is likely to be for most agent-based modelers and how far this formalism is from real implementations.
A sensitivity analysis can potentially help identify sources of uncertainty, but if it does not use global measures of sensitivity nor consider that sensitivity in a process-based model is likely time-dependent, results could be misleading.
The respondents who received VCT through the facility based model were more likely to receive the service because they wanted to know their sero-status (OR = 11.6 95% CI = 7.2, 18.7).
The female respondents who received VCT through the facility based model were more likely to have had pain or burning on urination and itching around the vagina (OR = 1.5 95% CI = 1.1, 2.2 and OR = 1.9 95% CI = 1.4, 2.6 respectively).
The κ-ɛ based models were more likely to produce the reverse swirl than the RSM model.
Levie's model is likely limited.
Therefore, the estimates based on the random effects model are likely to represent the overall effect more accurately.
The poor performance of the effectiveness model was likely to be due to the skewed distribution, which was not accounted for using a model based on normal distribution.
In smaller cohorts and in case control studies, risk estimates based on classic frequentist modeling are likely to produce unreliable estimates in small strata, and any likelihood-based analysis for small data, or even worse, missing data, usually involves computationally intensive methods or ad hoc adjustments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com