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Population data for the calculation of incidence estimates were drawn from the 1996 national census and updated by applying an estimated annual growth rate of 3% for rural areas and 6% for urban areas [ 16].
The estimates were drawn from 97 studies conducted between 1995 and 2007.
Estimates were drawn using the Kaplan-Meier method.
Utility estimates were drawn from the EQ-5D catalogue.
In addition, utility estimates were drawn from clinician opinion on a VAS, rather than from patients.
Relative risk estimates were drawn from a comprehensive search of the epidemiological literature.
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The estimates are drawn from a federal survey of about 35,000 households.
A second prior based on a Bayesian random effects model is developed that postulates distinct study treatment effects and incorporates all uncertainty in our knowledge of the parameters of the distribution from which these distinct estimates are drawn.
We perform pair-wise Pearson-χ comparisons of the R estimates to test the null hypothesis that the estimates are drawn from the same mean.
The bias is undoubtedly related to the lack of information in the data, so that point estimates are drawn towards the mean values of prior distributions.
In the second step, new parameter estimates are drawn from a Bayesian posterior distribution based on the observed and imputed data.
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