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Clustered data: The term applied to both the data in which the sampling units are grouped into the clusters sharing some common feature, for instance families or geographical regions animal litters, and longitudinal data in which a cluster is de?ned by the set of repeated measures on the particular unit. A distinguishing feature of such type of data is that they tend to exhibit intracluster correlation, and their analysis requires address this correlation to reach valid conclusions or result. Methods of analysis which ignore the correlations tend to be inadequate enough. In particular they are likely to provide the estimates of the standard errors which are too low. When the observations contain the normal distribution, random effects models and the mixed effects models might be brought in use. When the observations are binary, giving rise to the clustered binary data, suitable methods or techniques are mixed- effects logistic regression and the generalized estimating equation approach.
The values assigned to factors for the individual sample units in a factor analysis. The most common approach is "regression method". When the factors are seen as the random variab
Bayesian network : It is essentially an expert system in which the uncertainty is dealt with using the conditional probabilities and Bayes' Theorem. Formally such type of network c
ACC – A pioneer in the Indian cement industry Associated Cement Companies Ltd. (ACC) came into existence in 1936, after the merger of 10 companies belonging to four important bus
Morbidity is the term used in the epidemiological studies to describe sickness in the human populations. The WHO Expert Committee on the Health Statistics noted in its sixth repor
The procedures used for determining how the quality of life is affected by the environment, in particular by factors such as air and solid wastes, water pollution, hazardous substa
A subject who withdraws from the study for whatever reason, adverse side effects, noncompliance, moving away from the district, etc. In number of cases the reason may not be known.
Can I use ICC for this kind of data? Wind Month Day Temp(DV) 7.4 5 1 67 8 5 2 72 12.6 5 3 74 11.5 5 4 62 I am taking temp as the dependent variable. There are many more values.
Missing values : The observations missing from the set of data for some of the reason. In longitudinal studies, for instance, they might occur because subjects drop out of the stud
Inliers is the term used for the observations most likely to be subject to error in situations where the dichotomy is developed by making a ‘cut’ on an ordered scale, and where th
Hot deck is a method broadly used in surveys for imputing the missing values. In its easiest form the method includes sampling with replacement m values from the sample respondent
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