This article presents statistical methods recently developed for the analysis of maps of disease rates when the geographic units have small populations at risk. They adopt the Bayesian approach and use intensive computational methods for estimating risk in each area. The objective of the methods is to separate the variability of rates due to differences between regions from the background risk due to pure random fluctuation. Risk estimates have a total mean quadratic error smaller than usual estimates. We apply these new methods to estimate infant mortality risk in the municipalities of the State of Minas Gerais in 1994.
Background/Aims: To evaluate the efficacy and safety of venlafaxine in the treatment of major depression in dementia. Methods: Thirty-one outpatients who had dementia and major depression participated in this randomized, double-blind, placebo-controlled, 6-week, flexible dose clinical trial. The screening measures were Cornell Scale for depression in dementia, DSM-IV for depression and dementia and Mini-Mental State Examination. The outcome measures were response rate, Montgomery-Åsberg Depression Rating scale and Clinical Global Impressions. Results: The percentage of patients defined as Montgomery-Åsberg Depression Rating scale responders was approximately the same in the placebo and in the venlafaxine groups. Clinical Global Impressions showed no significant difference between the groups. The reasons for dropouts show borderline significance between the two groups. There was no statistically significant difference in the incidence of adverse events between the venlafaxine and placebo-treated groups. Conclusions: Our data do not support the hypothesis that venlafaxine improves mood in elderly demented patients.
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