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

2019-06-012024-05-17https://scholars.lib.ntu.edu.tw/handle/123456789/695163Application 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