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Updated: Sep 9, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

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統合されたネストラ・ラプラスの近似を用いた競合するリスクの生存と歪んだ縦断データの半パラメトリック共同モデルのための計算効率のよいベイジアン推論

Melkamu Molla Ferede1,2, Najmeh Nakhaei Rad3, Ding-Geng Chen3,4

  • 1Department of Statistics, University of Gondar, Gondar, Ethiopia. melkamum2m@gmail.com.

BMC medical research methodology
|September 2, 2025
PubMed
まとめ

この研究は,統合されたネストラ・アプロシマション (INLA) を使用して,競合するリスクの生存率と歪んだ縦断データを共同モデリングするための計算効率の良い方法を導入しています. INLAのアプローチは,複雑な医学研究のための正確な統計的推論を維持しながら,計算の負担を大幅に軽減します.

キーワード:
ベイズ推論慢性腎臓疾患競合するリスク - 長距離データINLAjoint (インラジョイント)共同モデリングR2WinBUGS について

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