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An unusual aggregation of the health events, real or perceived. The events might be grouped in the particular region or in some short period of time, or they might happen among the certain group of people, for instance, those having the particular occupation. The significance of studying such type of clusters as a means of determining the origins of the public health problems has long been recognized. In the year 1850, for instance, the Broad Street pump in London was identified as the main source of cholera by plotting cases on a map and noting the cluster around well. More recently, recognition of the clusters of relatively rare kinds of pneumonia and tumours among the young homosexual men led to the identi?cation of the acquired immune de?ciency syndrome (AIDS) and eventually to discovery of the human immune de?ciency virus (HIV).
Median is the value in a set of the ranked observations which divides the data into two parts of equal size. When there are an odd number of observations the median is middle v
Opreation research phase
Procrustes analysis is a technique of comparing the alternative geometrical representations of a group of multivariate data or of the proximity matrix, for instance, two competing
Product-limit estimator is a method for estimating the survival functions for the set of survival times, some of which might be censored observations. The logic behind the procedu
Johnson-Neyman technique: The technique which can be used in the situations where analysis of the covariance is not valid because of the heterogeneity of slopes. With this method
Complier average causal effect (CACE): The treatment effect amid true compliers in the clinical trial. For the suitable response variable, the CACE is given by the difference in o
Bayesian inference : An approach to the inference based largely on Bayes' Theorem and comprising of the below stated principal steps: (1) Obtain the likelihood, f x q describing
Particlefilters is a simulation method for tracking moving target distributions and for reducing computational burden of the dynamic Bayesian analysis. The method uses a Markov ch
Prevalence : The measure of the number of people in a population who have a certain disease at a given point in time. It c an be measured by two methods, as point prevalence and p
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