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The Center for Epidemiologic Studies Depression Scale for Children (CES-DC) is a modified version of the Center for Epidemiologic Studies Depression Scale. This measure assesses both depressive symptoms as well as symptom improvement in a wide range of children and adolescents, ages 6–17. [ 3 ]
Depression is a major cause of morbidity and mortality worldwide, as the epidemiology has shown. [1] Lifetime prevalence estimates vary widely, from 3% in Japan to 17% in India. Epidemiological data shows higher rates of depression in the Middle East, North Africa, South Asia and the United States than in other regions and countries. [2]
The average lifetime prevalence found was 6.7% for MDD (with a relatively low lifetime prevalence rate in higher-quality studies, compared to the rates typically highlighted of 5–12% for men and 10–25% for women), and rates of 3.6% for dysthymia and 0.8% for Bipolar 1. [18]
A pooled analysis is a statistical technique for combining the results of multiple epidemiological studies. It is one of three types of literature reviews frequently used in epidemiology, along with meta-analysis and traditional narrative reviews.
In contrast, a disease that has a short duration may have a low prevalence and a high incidence. When the incidence is approximately constant for the duration of the disease, prevalence is approximately the product of disease incidence and average disease duration, so prevalence = incidence × duration. The importance of this equation is in the ...
The lower weighted median is 2 with partition sums of 0.49 and 0.5, and the upper weighted median is 3 with partition sums of 0.5 and 0.25. In the case of working with integers or non-interval measures, the lower weighted median would be accepted since it is the lower weight of the pair and therefore keeps the partitions most equal. However, it ...
For normally distributed random variables inverse-variance weighted averages can also be derived as the maximum likelihood estimate for the true value. Furthermore, from a Bayesian perspective the posterior distribution for the true value given normally distributed observations and a flat prior is a normal distribution with the inverse-variance weighted average as a mean and variance ().
One very early weighted estimator is the Horvitz–Thompson estimator of the mean. [3] When the sampling probability is known, from which the sampling population is drawn from the target population, then the inverse of this probability is used to weight the observations. This approach has been generalized to many aspects of statistics under ...
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