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.National Taiwan University / 國立臺灣大學
Project / 研究計畫
Application of High-Dimensional Propensity Score Model and Marginal Structural Model for Unmeasured Confounding and Informative Censoring – Take Metabolic Risk Factors, Drugs, and Infection Risks as an Example
Application of High-Dimensional Propensity Score Model and Marginal Structural Model for Unmeasured Confounding and Informative Censoring – Take Metabolic Risk Factors, Drugs, and Infection Risks as an Example
Details
Primary Data
Project title
深入探討以高維傾向性分數與邊緣性結構模型處理未測量干擾因子及非獨立設限 - 以代謝危險因子 藥物 與感染症風險為例
Internal ID
NSC餘0260
Principal Investigator
CHIA-HSUIN CHANG
Start Date
June 1, 2019
End Date
July 31, 2019
Organizations
Internal Medicine