Clustered data, Advanced Statistics

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.

Posted Date: 7/26/2012 6:27:50 AM | Location : United States







Related Discussions:- Clustered data, Assignment Help, Ask Question on Clustered data, Get Answer, Expert's Help, Clustered data Discussions

Write discussion on Clustered data
Your posts are moderated
Related Questions
Infant mortality rate is the ratio of the number of deaths during the calendar year among the infants under one year of age to the total number of live births during that particul

The number of employees absent from work at a large electronics manufacturing plant over aperiod of 106 days is given in the table below. 146 141 139 140 145 141 142 131 142 140

The Null Hypothesis - H0: β0 = 0, H0: β 1 = 0, H0: β 2 = 0, Β i = 0 The Alternative Hypothesis - H1: β0 ≠ 0, H0: β 1 ≠ 0, H0: β 2 ≠ 0, Β i ≠ 0      i =0, 1, 2, 3

Mendelian randomization is the term applied to the random assortment of alleles at the time of gamete formation, a process which results in the population distributions of genetic

Lagrange Multiplier (LM) test The Null Hypothesis - H0: There is no heteroscedasticity i.e. β 1 = 0 The Alternative Hypothesis - H1:  There is heteroscedasticity i.e. β 1

Categorizing continuous variables : A practice which involves the conversion of the continuous variables into the series of the categories, which is common in the field of medical


Hosmer-Lemeshow test is a goodness-of-fit test taken in use in logistic regression, particularly when there are regular covariates. Units are spitted into deciles based on predict

what is pdf,mean & variance for multimodal distribution?

Recurrence risk : Usually the probability that an individual experiences an event of interest given previous experience(s) of the event; for example, the probability of recurrence