Design and cost optimization for hierarchical data

DOI10.1111/stan.12026WikidataQ57583418 ScholiaQ57583418MaRDI QIDQ6668624

Jaakko Nevalainen, Andreas Lundell, Hannu Oja, Kari Tokola

Publication date: 22 January 2025

Published in: Statistica Neerlandica (Search for Journal in Brave)

zbMATH Keywords

clustered datasample size calculationmultilevel datadata design

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Survival analysis and censored data (62Nxx) Applications of statistics (62Pxx)

Cites Work

• Power, sample size and sampling costs for clustered data
• A tutorial on geometric programming
• Some transformation techniques with applications in global optimization
• Approximation Theorems of Mathematical Statistics
• Convex underestimation strategies for signomial functions
• Statistical Power and Sample Size Requirements for Three Level Hierarchical Cluster Randomized Trials
• ON OPTIMIZING MULTI-LEVEL DESIGNS: POWER UNDER BUDGET CONSTRAINTS

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