Predicting Overall Vaccine Efficacy in a New Setting by Re-Calibrating Baseline Covariate and Intermediate Response Endpoint Effect Modifiers of Type-Specific Vaccine Efficacy [0.03%]
通过重新校准特定类型疫苗效力的基线协变量和中期反应终点效应修饰因子来预测新环境下的总体疫苗效力
Peter B Gilbert,Ying Huang
Peter B Gilbert
We develop a transport formula for predicting overall cumulative vaccine efficacy through time t (VE(t)) to prevent clinically significant infection with a genetically diverse pathogen (e.g., HIV infection) in a new setting for which a Phas...
Alfredo Morabia
Alfredo Morabia
A Simulation Study of Relative Efficiency and Bias in the Nested Case-Control Study Design [0.03%]
嵌套病例对照设计的相对效率和偏差的模拟研究
Stephen Bertke,Misty Hein,Mary Schubauer-Berigan et al.
Stephen Bertke et al.
Purpose: The nested case-control study design, in which a fixed number of controls are matched to each case, is often used to analyze exposure-response associations within a cohort. It has become common practice to sample...
A note on the control function approach with an instrumental variable and a binary outcome [0.03%]
关于使用工具变量和二元结果的控制函数法的注记
Eric J Tchetgen Tchetgen
Eric J Tchetgen Tchetgen
Unobserved confounding is a well known threat to causal inference in non-experimental studies. The instrumental variable design can under certain conditions be used to recover an unbiased estimator of a treatment effect even if unobserved c...
Identification, estimation and approximation of risk under interventions that depend on the natural value of treatment using observational data [0.03%]
利用观察性数据识别、估计和近似治疗干预措施的风险（这些干预措施取决于治疗的自然值）
Jessica G Young,Miguel A Herńan,James M Robins
Jessica G Young
Extended Matrix and Inverse Matrix Methods Utilizing Internal Validation Data When Both Disease and Exposure Status Are Misclassified [0.03%]
当疾病和暴露均存在分类错误时利用内部验证数据的广义矩阵和逆矩阵方法
Li Tang,Robert H Lyles,Ye Ye et al.
Li Tang et al.
The problem of misclassification is common in epidemiological and clinical research. In some cases, misclassification may be incurred when measuring both exposure and outcome variables. It is well known that validity of analytic results (e....
Model Misspecification When Excluding Instrumental Variables From PS Models in Settings Where Instruments Modify the Effects of Covariates on Treatment [0.03%]
排除工具变量时在工具变量修改协变量对治疗效应的设定下PS模型的模型错配问题
Richard Wyss,Alan R Ellis,Mark Lunt et al.
Richard Wyss et al.
Theory and simulations show that variables affecting the outcome only through exposure, known as instrumental variables (IVs), should be excluded from propensity score (PS) models. In pharmacoepidemiologic studies based on automated healthc...
T J VanderWeele,S Vansteelandt
T J VanderWeele
Recent advances in the causal inference literature on mediation have extended traditional approaches to direct and indirect effects to settings that allow for interactions and non-linearities. In this paper, these approaches from causal inf...
T J VanderWeele
T J VanderWeele
T J Vander Weele
T J Vander Weele