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Updated: Sep 10, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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中間イベント情報によるダイナミックな長期予測:二変数時間変動係数を持つ柔軟なモデル

Yunyi Wang1, Wen Li2, Ruosha Li1

  • 1Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, Texas, USA.

Statistics in medicine
|August 23, 2025
PubMed
まとめ

この研究では,中間イベントデータを統合することにより,長期の患者のリスク予測を改善するために,時間変動係数を用いたダイナミック予測モデルを導入します. この新しいアプローチは,縦断的なコホート研究の精度を高めます.

キーワード:
ダイナミックな予測中間イベントランドマーク時間長期予測時間の変化による影響

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