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Showing 1 to 5 of 5 for “"clustered binary data"”.

  1. Techniques for handling clustered binary data

    … decades there has been increasing interest in clustered studies and hence much research has gone into the analysis of data arising from these studies. It is erroneous to treat clustered data, where observations within a cluster are correlated with each other, as one would treat independent …

    cape-town Repository record for Techniques for handling clustered binary data (opens in a new tab)

  2. Analysis of Models for Longitudinal and Clustered Binary Data

    … and statistical analysis of longitudinal and clustered binary data. Such data consists of observations on a dichotomous response variable generated from multiple time or cluster points, that exhibit either decaying correlation or equi-correlated dependence. The current literature addresses …

    odu Repository record for Analysis of Models for Longitudinal and Clustered Binary Data (opens in a new tab)

  3. Power analysis for a mixed effects logistic regression model

    … herd effects are commonly used for modeling clustered binary data. These models are well developed and widely used in the literature, among which is the logistic-normal regression model. In contrast to the rich literature in modeling methods, the sample size/power analysis methods for such …

    lsu-thes Repository record for Power analysis for a mixed effects logistic regression model (opens in a new tab)

  4. Failure time analyses for data collected from independent groups of correlated individuals

    … of estimating failure time distributions for data collected from independent groups of correlated individuals is developed. This method is appropriate for commonly interval censored data (e.g., when individuals are inspected at regular common intervals) or exact time data, including possibly …

    iastate Repository record for Failure time analyses for data collected from independent groups of correlated individuals (opens in a new tab)