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Updated: Jul 30, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

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关于对非线性纵向和时间到事件的正确,间隔审查数据的联合分析建议,用于建模妊娠流产

Rolando de la Cruz1, Marc Lavielle2, Cristian Meza3

  • 1Facultad de Ingeniería y Ciencias, Universidad Adolfo Ibáñez, Diagonal Las Torres 2640, Peñalolén, Santiago 7941169, Chile; Data Observatory Foundation, ANID Technology Center, Eliodoro Yáñez 2990, Oficina A5, Providencia, Santiago 7510277, Chile.

Computers in biology and medicine
|October 3, 2024
PubMed
概括

在体外受精 (IVF) 怀孕中纵向监测人类胆管性淋巴腺素β亚单元 (β-HCG) 水平有助于预测流产风险. 这种分析有助于管理怀孕早期的结果,并提高试管婴儿成功率.

关键词:
动态预测 动态预测联合建模 联合建模纵向数据 纵向数据 纵向数据非线性混合效应模型右边的间隔是审查过的数据.时间到事件数据.韦布尔危险率函数的作用

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