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# Questions tagged [cluster-sample]

Cluster sampling is a sampling design in which the observation units have to be grouped together for logistical reasons (e.g., students clustered in schools or households clustered in a geographic area). Typically, cluster samples are multistage samples, so geographic areas are selected in the first stage and households in the subsequent stage.

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### Fitting multilevel models to complex survey data in R

I'm looking for advice on how to analyze complex survey data with multilevel models in R. I've used the survey package to weight for unequal probabilities of ...
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### Simple way to cluster histograms

I'm trying to cluster set of histograms. The histograms represent the frequencies of the distribution for a numbers from 1 to 5. The following figure shows two samples of my data. I have 10,000 ...
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### Agreement in clustered sample data

I have analyzed several data curves from a group of patients (16 curves per patient) with different analysis methods and want to test for the agreement of the methods. So far, I have neglected the ...
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### Why are samples within a cluster less informative than randomly chosen ones from entire population?

Please give me mathematical explanation if possible. And also in the book Kothari 2004, it says: There is also not as much information in ‘n’ observations within a cluster as there happens to be in ...
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### Survival analysis for patients that have been subjected to multiple treatments

I have data for patients that were subjected to either one treatment or multiple treatments at various points in time and I need to analyse their survival times after treatments. This of course means ...
550 views

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### Case-control Matched Clustering in Generalized Estimation Equation (GEE) (R:geeglm)

Question: I have matched case-control data and I would like to take advantage of that in my GEE analysis. In the standard approach to GEE analysis, we call each subject a cluster and fit subject-...
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### Calculate sample size to determine freedom of disease with two level clustering

I'm trying to find a calculation that will allow me to calculate both: the number of farms and the number of sheep per farm I would need to sample to determine the absence of a disease for the ...
484 views

### geeglm not recognizing clusters

I am fitting a geeglm model and it is not recognizing the clustering. my model is ...
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### Which statistical test to use with repeated measures & clustered observations?

I am doing an experimental study for my research. I have a class with 24 students and six groups, where each group includes 4 students. I want to compare the performance of each group in two cases: ...
219 views

### Two-stage cluster sampling problem

I'm having difficulty understanding the following problem. It seems like it is a two stage cluster sampling problem, but then the defective red lightbulbs make the question even more difficult. I'd ...
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### Cluster-randomized trial: mixed model hypothesis testing

I want to estimate the effect of randomly assigned intervention. The outcome is measured at the individual level, but the individuals are assigned to groups which influence eachother a lot, and it is ...
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### How can I make clusters with highly right skewed data?

My histogram of expected income is as below. As you can see, income is highly right skewed. I want to divide individuals with regard to income - for example into Low, Middle, and High, and then I ...
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### use spss to analyse a cluster randomized data

I have data from a cluster randomized trial, that is, each subject in the same cluster has received the same treatment. Do chi square test and t-test need some adjustments? More precisely, which ...
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### longitudinal models for prevalence

I am trying to analyze some prevalence data and estimate the effect on prevalence of some health condition of an intervention that was introduced at some time point. The data concern a number of ...
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### IPD meta-analysis: need to weight regression and population level estimates?

Using individual patient data (IPD) from various studies, do I need to weight observations in a meta-analysis? Each study used a two-stage cluster sampling design with uniform samples per cluster and ...
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### Power Calculation in R for CRCT with outcome on individual level

I would welcome any help with computing power calculations for cluster randomised control trial and specifying the code in R for this. I've been trying to use clusterPower package but any R package ...