Connection

DAVID ALLISON to Pediatric Obesity

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

4.370
  1. 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: 0.448
  2. Childhood obesity intervention studies: A narrative review and guide for investigators, authors, editors, reviewers, journalists, and readers to guard against exaggerated effectiveness claims. Obes Rev. 2019 11; 20(11):1523-1541.
    View in: PubMed
    Score: 0.431
  3. Spin in the abstract in "Impact of motivational interviewing on outcomes of an adolescent obesity treatment: Results from the MI Values randomized controlled pilot trial". Clin Obes. 2019 10; 9(5):e12332.
    View in: PubMed
    Score: 0.430
  4. The Need for Greater Rigor in Childhood Nutrition and Obesity Research. JAMA Pediatr. 2019 04 01; 173(4):311-312.
    View in: PubMed
    Score: 0.420
  5. The claim that effectiveness has been demonstrated in the Parenting, Eating and Activity for Child Health (PEACH) childhood obesity intervention is unsubstantiated by the data. Br J Nutr. 2018 10; 120(8):958-959.
    View in: PubMed
    Score: 0.403
  6. Changes in pediatric waist circumference percentiles despite reported pediatric weight stabilization in the United States. Pediatr Obes. 2017 10; 12(5):347-355.
    View in: PubMed
    Score: 0.346
  7. Regression to the Mean: A Commonly Overlooked and Misunderstood Factor Leading to Unjustified Conclusions in Pediatric Obesity Research. Child Obes. 2016 Apr; 12(2):155-8.
    View in: PubMed
    Score: 0.340
  8. Comment on "Intervention Effects of a School-Based Health Promotion Programme on Obesity Related Behavioural Outcomes". J Obes. 2015; 2015:708181.
    View in: PubMed
    Score: 0.322
  9. Ignoring regression to the mean leads to unsupported conclusion about obesity. Int J Behav Nutr Phys Act. 2015 May 07; 12:56.
    View in: PubMed
    Score: 0.321
  10. Concerning Sichieri R, Cunha DB: Obes Facts 2014;7:221?232. The Assertion that Controlling for Baseline (Pre-Randomization) Covariates in Randomized Controlled Trials Leads to Bias is False. Obes Facts. 2015; 8(2):127-9.
    View in: PubMed
    Score: 0.313
  11. Childhood obesity as a risk factor for bone fracture: a mechanistic study. Obesity (Silver Spring). 2013 Jul; 21(7):1459-66.
    View in: PubMed
    Score: 0.280
  12. The stated conclusions are contradicted by the data, based on inappropriate statistics, and should be corrected: comment on 'intervention for childhood obesity based on parents only or parents and child compared with follow-up alone'. Pediatr Obes. 2018 11; 13(11):656-657.
    View in: PubMed
    Score: 0.100
  13. Urban Park Development and Pediatric Obesity Rates: A Quasi-Experiment Using Electronic Health Record Data. Int J Environ Res Public Health. 2016 Apr 08; 13(4):411.
    View in: PubMed
    Score: 0.085
  14. Validity of the WHO cutoffs for biologically implausible values of weight, height, and BMI in children and adolescents in NHANES from 1999 through 2012. Am J Clin Nutr. 2015 Nov; 102(5):1000-6.
    View in: PubMed
    Score: 0.082
  15. Instrumental variable approach to estimating the scalar-on-function regression model with measurement error with application to energy expenditure assessment in childhood obesity. Stat Med. 2019 09 10; 38(20):3764-3781.
    View in: PubMed
    Score: 0.027
  16. The prevalence and validity of high, biologically implausible values of weight, height, and BMI among 8.8 million children. Obesity (Silver Spring). 2016 05; 24(5):1132-9.
    View in: PubMed
    Score: 0.021
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.