Supplementary material: Dependent censoring bias assessment using inverse probability of censoring weights: Type 2 diabetes mellitus risk in patients initiating bisoprolol versus other antihypertensives in a Clinical Practice Research Datalink cohort study

These are peer-reviewed supplementary materials for the article 'Dependent censoring bias assessment using inverse probability of censoring weights: Type 2 diabetes mellitus risk in patients initiating bisoprolol versus other antihypertensives in a Clinical Practice Research Datalink cohort study' published in the Journal of Comparative Effectiveness Research.A.1: Censoring modelingA.1.1: Prior knowledgeA.1.2: Univariate Cox model for T2DMA.1.2.1: Multivariate Cox model for censoringTable: A1A.2: Weights distributionA.3: Dependant censoring evaluation: IPCW Kaplan Meier curves A–EA.4: IPCW Cox modelsA ‒ calcium-channel blockersB – Diuretics vs bisoprololC – Other beta blockers vs bisoprololA.5: competing risks analysis resultsA ‒ Cause-specific hazard ratios for T2DMB ‒ Subdistribution hazard ratios for T2DMC ‒ Cause-specific hazard ratios for DFMD ‒ Subdistribution hazard ratios for DFM

此为发表于《比较疗效研究杂志》的论文《使用逆概率封存权重评估依赖性封存偏差：启动比索洛尔与其他抗高血压药相比在临床实践研究数据链接队列研究中的2型糖尿病风险》的同行评审补充材料。A.1：封存模型A.1.1：先验知识A.1.2：针对2型糖尿病的单一变量Cox模型A.1.2.1：针对封存的多元Cox模型表格：A1A.2：权重分布A.3：依赖性封存评估：IPCW Kaplan-Meier曲线 A-EA.4：IPCW Cox模型A - 钙通道阻滞剂B – 利尿剂与比索洛尔对比C – 其他β受体阻滞剂与比索洛尔对比A.5：竞争风险分析结果A - 特定病因的T2DM风险比B - T2DM的亚分布风险比C - 特定病因的DFM风险比D - DFM的亚分布风险比