 Connection
Andrew Brown to Cluster Analysis
This is a "connection" page, showing publications Andrew Brown has written about Cluster Analysis.
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Connection Strength |
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0.312 |
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Brown AW, Li P, Bohan Brown MM, Kaiser KA, Keith SW, Oakes JM, Allison DB. Best (but oft-forgotten) practices: designing, analyzing, and reporting cluster randomized controlled trials. Am J Clin Nutr. 2015 Aug; 102(2):241-8.
Score: 0.122
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Jamshidi-Naeini Y, Golzarri-Arroyo L, Vorland CJ, Brown AW, Dickinson S, Allison DB. Accounting for the clustering and nesting effects verifies most conclusions. Corrected analysis of: "Randomized nutrient bar supplementation improves exercise-associated changes in plasma metabolome in adolescents and adult family members at cardiometabolic risk". PLoS One. 2022; 17(10):e0275242.
Score: 0.051
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Katzmarzyk PT, Denstel KD, Martin CK, Newton RL, Apolzan JW, Mire EF, Horswell R, Johnson WD, Brown AW, Zhang D. Intraclass correlation coefficients for weight loss cluster randomized trials in primary care: The PROPEL trial. Clin Obes. 2022 Aug; 12(4):e12524.
Score: 0.049
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Golzarri-Arroyo L, Dickinson SL, Jamshidi-Naeini Y, Zoh RS, Brown AW, Owora AH, Li P, Oakes JM, Allison DB. Evaluation of the type I error rate when using parametric bootstrap analysis of a cluster randomized controlled trial with binary outcomes and a small number of clusters. Comput Methods Programs Biomed. 2022 Mar; 215:106654.
Score: 0.048
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Golzarri-Arroyo L, Oakes JM, Brown AW, Allison DB. Incorrect Analyses of Cluster-Randomized Trials that Do Not Take Clustering and Nesting into Account Likely Lead to p-Values that Are Too Small. Child Obes. 2020 03; 16(2):65-66.
Score: 0.042
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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