Using optimal subset regression to identify factors associated with insulin resistance and construct predictive models in the US adult population.

Gong, Rongpeng; Liu, Yuanyuan; Luo, Gang; Yin, Jiahui; Xiao, Zuomiao; Hu, Tianyang

Gong, Rongpeng; Liu, Yuanyuan; Luo, Gang; Yin, Jiahui; Xiao, Zuomiao; Hu, Tianyang.

Afiliação

Gong R; Medical College of Qinghai University, Xining, People's Republic of China.
Liu Y; Medical College of Qinghai University, Xining, People's Republic of China.
Luo G; Medical College of Qinghai University, Xining, People's Republic of China.
Yin J; College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Xiao Z; Department of Clinical Laboratory, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, China.
Hu T; Precision Medicine Center, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.

Endocr Connect ; 11(7)2022 Jul 01.

Article em En | MEDLINE | ID: mdl-35686717

Palavras-chave

HOMA-IR; NHANES; calibration curves; insulin resistance; optimal subset regression

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Endocr Connect Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google