Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

David B Allison

Showing results (271-280 of 603) with videos related to

Pageof 61
Sort By:
Genetics|May 29, 2004
Characterization of epistasis influencing complex spontaneous obesity in the BSB modelNengjun Yi, Adam Diament, Sally Chiu, et al.
The Journal of School Health|May 4, 2019
Conditioning on "study" is essential for valid inference when combining individual data from multiple randomized controlled trials: a comment on Reesor et al's School-based weight management program curbs summer weight gain among low-income Hispanic middle school students. J Sch Health. 2019;89(1):59-67Wasantha P Jayawardene, Andrew W Brown, John A Dawson, et al.
Obesity Facts|January 18, 2012
Inverse association between fruit and vegetable intake and BMI even after controlling for demographic, socioeconomic and lifestyle factorsMoonseong Heo, Ryung S Kim, Judith Wylie-Rosett, et al.
Breast Cancer Research and Treatment|February 6, 2019
Change in study randomization allocation needs to be included in statistical analysis: comment on 'Randomized controlled trial of weight loss versus usual care on telomere length in women with breast cancer: the lifestyle, exercise, and nutrition (LEAN) study'Stephanie L Dickinson, Lilian Golzarri-Arroyo, Andrew W Brown, et al.
Nutrients|January 10, 2026
Conclusions Are Not Supported by the Published Statistical Analysis. Comment on López-Toledo et al. Flaxseed Improves Glucose and Lipid Metabolism in Mexican Subjects with Type 2 Diabetes: A Parallel Randomized Clinical Trial. <i>Nutrients</i> 2025, <i>17</i>, 709Robert W Spitz, Deependra K Thapa, Thirupathi Reddy Mokalla, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 3, 2026
A framework for assessing the trustworthiness of scientific research findingsBrian A Nosek, David B Allison, Kathleen Hall Jamieson, et al.
Plos One|October 27, 2022
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"Yasaman Jamshidi-Naeini, Lilian Golzarri-Arroyo, Colby J Vorland, et al.
Statistics in Medicine|May 20, 2003
Hierarchical linear models for the development of growth curves: an example with body mass index in overweight/obese adultsMoonseong Heo, Myles S Faith, John W Mott, et al.
The American Journal of Clinical Nutrition|June 7, 2003
Carbohydrate intake and biomarkers of glycemic control among US adults: the third National Health and Nutrition Examination Survey (NHANES III)Eun Ju Yang, Jean M Kerver, Yi Kyung Park, et al.
The American Journal of Clinical Nutrition|September 11, 2019
Does exclusion of extreme reporters of energy intake (the "Goldberg cutoffs") reliably reduce or eliminate bias in nutrition studies? Analysis with illustrative associations of energy intake with health outcomesKeisuke Ejima, Andrew W Brown, Dale A Schoeller, et al.
Pageof 61

Showing results (271-280 of 603) with videos related to

Sort By:
Pageof 61
Genetics|May 29, 2004
Characterization of epistasis influencing complex spontaneous obesity in the BSB modelNengjun Yi, Adam Diament, Sally Chiu, et al.
The Journal of School Health|May 4, 2019
Conditioning on "study" is essential for valid inference when combining individual data from multiple randomized controlled trials: a comment on Reesor et al's School-based weight management program curbs summer weight gain among low-income Hispanic middle school students. J Sch Health. 2019;89(1):59-67Wasantha P Jayawardene, Andrew W Brown, John A Dawson, et al.
Obesity Facts|January 18, 2012
Inverse association between fruit and vegetable intake and BMI even after controlling for demographic, socioeconomic and lifestyle factorsMoonseong Heo, Ryung S Kim, Judith Wylie-Rosett, et al.
Breast Cancer Research and Treatment|February 6, 2019
Change in study randomization allocation needs to be included in statistical analysis: comment on 'Randomized controlled trial of weight loss versus usual care on telomere length in women with breast cancer: the lifestyle, exercise, and nutrition (LEAN) study'Stephanie L Dickinson, Lilian Golzarri-Arroyo, Andrew W Brown, et al.
Nutrients|January 10, 2026
Conclusions Are Not Supported by the Published Statistical Analysis. Comment on López-Toledo et al. Flaxseed Improves Glucose and Lipid Metabolism in Mexican Subjects with Type 2 Diabetes: A Parallel Randomized Clinical Trial. <i>Nutrients</i> 2025, <i>17</i>, 709Robert W Spitz, Deependra K Thapa, Thirupathi Reddy Mokalla, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 3, 2026
A framework for assessing the trustworthiness of scientific research findingsBrian A Nosek, David B Allison, Kathleen Hall Jamieson, et al.
Plos One|October 27, 2022
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"Yasaman Jamshidi-Naeini, Lilian Golzarri-Arroyo, Colby J Vorland, et al.
Statistics in Medicine|May 20, 2003
Hierarchical linear models for the development of growth curves: an example with body mass index in overweight/obese adultsMoonseong Heo, Myles S Faith, John W Mott, et al.
The American Journal of Clinical Nutrition|June 7, 2003
Carbohydrate intake and biomarkers of glycemic control among US adults: the third National Health and Nutrition Examination Survey (NHANES III)Eun Ju Yang, Jean M Kerver, Yi Kyung Park, et al.
The American Journal of Clinical Nutrition|September 11, 2019
Does exclusion of extreme reporters of energy intake (the "Goldberg cutoffs") reliably reduce or eliminate bias in nutrition studies? Analysis with illustrative associations of energy intake with health outcomesKeisuke Ejima, Andrew W Brown, Dale A Schoeller, et al.
Pageof 61