This example illustrates the use of regression analysis in a simple random cluster sampling design. The data are from S rndal, Swenson, and Wretman (1992, p. 652). A total of 284 Swedish ...
Consider the example in the section "Stratified Sampling". The study population is a junior high school with a total of 4,000 students in grades 7, 8, and 9. Researchers want to know how much these ...
We present a simple sample-size formula for weighted log-rank statistics applied to clustered survival data with variable cluster sizes and arbitrary treatment assignments within clusters. This ...
This paper describes a Monte Carlo study of competing procedures for testing row-column independence in a two-way table, under cluster sampling. The study was designed to explore the effects on test ...
Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...
Graph neural networks (GNNs) have achieved remarkable success with learning tasks on graph-structured data, yet challenges like oversquashing and oversmoothing limit their scalability to large graphs ...
The random sample survey is a commonly used method in market research and such surveys generally are considered to provide more robust results than purposive or convenience (such as quota) samples.
sampleclusteR allows users to quickly analyse datasets from Gene Expression Omnibus (GEO) and ArrayExpress metadata sets (via Sample and Data Relationship Format tables (.sdrf) using a command line ...
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