Connection

DAVID ALLISON to Cluster Analysis

This is a "connection" page, showing publications DAVID ALLISON has written about Cluster Analysis.
Connection Strength

1.457
  1. Ignoring Clustering and Nesting Effects Are Invalid Analysis Choices in a Trial with Clustered Data in Trials Testing Causal Effects. Re: "Impact of a Montessori-Based Nutrition Program on Children's Knowledge and Eating Behaviors". J Sch Health. 2023 10; 93(10):964.
    View in: PubMed
    Score: 0.193
  2. Inappropriate Analysis of a Cluster Randomized Controlled Trial Due to Not Accounting for Nesting and Clustering: Comment on "A Home-Based Dyadic Music-with-Movement Intervention for People with Dementia and Caregivers: A Hybrid Type 2 Cluster-Randomized Effectiveness-Implementation Design" [Letter]. Clin Interv Aging. 2023; 18:141-142.
    View in: PubMed
    Score: 0.192
  3. Reanalysis Accounting for Clustering and Nesting Overturns Conclusions in: "Watching TV Cooking Programs: Effects on Actual Food Intake Among Children". J Nutr Educ Behav. 2023 02; 55(2):161-163.
    View in: PubMed
    Score: 0.191
  4. 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.
    View in: PubMed
    Score: 0.188
  5. 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.
    View in: PubMed
    Score: 0.178
  6. 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.
    View in: PubMed
    Score: 0.156
  7. Trial Characteristics and Appropriateness of Statistical Methods Applied for Design and Analysis of Randomized School-Based Studies Addressing Weight-Related Issues: A Literature Review. J Obes. 2018; 2018:8767315.
    View in: PubMed
    Score: 0.139
  8. Best (but oft-forgotten) practices: designing, analyzing, and reporting cluster randomized controlled trials. Am J Clin Nutr. 2015 Aug; 102(2):241-8.
    View in: PubMed
    Score: 0.112
  9. Microarray data analysis: from disarray to consolidation and consensus. Nat Rev Genet. 2006 Jan; 7(1):55-65.
    View in: PubMed
    Score: 0.059
  10. Introduction to the series "Best (but Oft-Forgotten) Practices". Am J Clin Nutr. 2015 Aug; 102(2):239-40.
    View in: PubMed
    Score: 0.028
  11. Fruit and vegetable pricing by demographic factors in the Birmingham, Alabama, metropolitan area, 2004-2005. Prev Chronic Dis. 2010 Jul; 7(4):A78.
    View in: PubMed
    Score: 0.020
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.