scholarly journals Comparing denominator degrees of freedom approximations for the generalized linear mixed model in analyzing binary outcome in small sample cluster-randomized trials

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Peng Li ◽  
David T Redden
2020 ◽  
Vol 29 (6) ◽  
pp. 1765-1766
Author(s):  
Ariane M Mbekwe Yepnang ◽  
Agnès Caille ◽  
Sandra M Eldridge ◽  
Bruno Giraudeau

2018 ◽  
Vol 32 (5-6) ◽  
pp. 252-258
Author(s):  
Subashan Perera ◽  
Neelesh K. Nadkarni ◽  
David Wert ◽  
Jessie VanSwearingen ◽  
Jennifer S. Brach

Objectives: With the emerging trends, more cluster randomized trials will be conducted in older adults, where facilities are randomized rather than individuals. Similarity of individuals from a facility (intraclass correlation coefficient/ICC) plays a critical role, but not readily available. We document ICCs for measures commonly used in community-dwelling older adults and discuss implications. Method: Secondary analysis of a range of baseline measures from the On the Move cluster randomized trial, whose ICCs were computed using a linear mixed model. Results: Self-reported disability measures related to facility characteristics and sense of community had the greatest ICCs (>0.10), while mobility performance measures had 0.05 to 0.10, and cognitive measure 0.11. Discussion: The ICCs for measures commonly used in older adults are of a sufficient magnitude to have a substantial impact on planned sample size of a study and credibility of results, and should be taken into consideration in study planning and data analysis.


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