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Connection

Andrew Brown to Nutritional Sciences

This is a "connection" page, showing publications Andrew Brown has written about Nutritional Sciences.

 
Connection Strength
 
 
 
1.680
 
  1. 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.
    View in: PubMed
    Score: 0.498
  2. Brown AW, Ioannidis JP, Cope MB, Bier DM, Allison DB. Unscientific beliefs about scientific topics in nutrition. Adv Nutr. 2014 Sep; 5(5):563-5.
    View in: PubMed
    Score: 0.473
  3. Mattes RD, Rowe SB, Ohlhorst SD, Brown AW, Hoffman DJ, Liska DJ, Feskens EJM, Dhillon J, Tucker KL, Epstein LH, Neufeld LM, Kelley M, Fukagawa NK, Sunde RA, Zeisel SH, Basile AJ, Borth LE, Jackson E. Valuing the Diversity of Research Methods to Advance Nutrition Science. Adv Nutr. 2022 08 01; 13(4):1324-1393.
    View in: PubMed
    Score: 0.205
  4. Vorland CJ, Brown AW, Dawson JA, Dickinson SL, Golzarri-Arroyo L, Hannon BA, Heo M, Heymsfield SB, Jayawardene WP, Kahathuduwa CN, Keith SW, Oakes JM, Tekwe CD, Thabane L, Allison DB. Errors in the implementation, analysis, and reporting of randomization within obesity and nutrition research: a guide to their avoidance. Int J Obes (Lond). 2021 11; 45(11):2335-2346.
    View in: PubMed
    Score: 0.191
  5. Kroeger CM, Ejima K, Hannon BA, Halliday TM, McComb B, Teran-Garcia M, Dawson JA, King DB, Brown AW, Allison DB. Persistent confusion in nutrition and obesity research about the validity of classic nonparametric tests in the presence of heteroscedasticity: evidence of the problem and valid alternatives. Am J Clin Nutr. 2021 03 11; 113(3):517-524.
    View in: PubMed
    Score: 0.186
  6. Ivanescu AE, Li P, George B, Brown AW, Keith SW, Raju D, Allison DB. The importance of prediction model validation and assessment in obesity and nutrition research. Int J Obes (Lond). 2016 06; 40(6):887-94.
    View in: PubMed
    Score: 0.128
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.