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Comment
. 2019 Jul;42(7):e128-e129.
doi: 10.2337/dci19-0024.

Response to Comment on Scholtens et al. Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Glycemia and Childhood Glucose Metabolism. Diabetes Care 2019;42:381-392

Affiliations
Comment

Response to Comment on Scholtens et al. Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Glycemia and Childhood Glucose Metabolism. Diabetes Care 2019;42:381-392

Denise M Scholtens et al. Diabetes Care. 2019 Jul.
No abstract available

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Comment on

References

    1. Scholtens DM, Kuang A, Lowe LP, et al. .; HAPO Follow-up Study Cooperative Research Group . Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): maternal glycemia and childhood glucose metabolism. Diabetes Care 2019;42:381–392 - PMC - PubMed
    1. Hulman A. Comment on Scholtens et al. Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): maternal glycemia and childhood glucose metabolism. Diabetes Care 2019;42:381–392 (Letter). Diabetes Care 2019;42:e127 DOI: 10.2337/dc19-0650 - PMC - PubMed
    1. Hulman A, Witte DR, Vistisen D, et al. . Pathophysiological characteristics underlying different glucose response curves: a latent class trajectory analysis from the prospective EGIR-RISC study. Diabetes Care 2018;41:1740–1748 - PubMed
    1. Nylund KL, Asparouhov T, Muthen BO. Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct Equ Modeling 2007;14:535–569
    1. Yang CC. Evaluating latent class analysis models in qualitative phenotype identification. Comput Stat Data Anal 2006;50:1090–1104