Pages that link to "Item:Q4721480"

The following pages link to A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect (Q4721480):

Displaying 50 items.

• General theory for interactions in sufficient cause models with dichotomous exposures (Q1940768) (← links)
• Identifying the consequences of dynamic treatment strategies: a decision-theoretic overview (Q1950325) (← links)
• Margins of discrete Bayesian networks (Q1991671) (← links)
• Estimating effects with rare outcomes and high dimensional covariates: knowledge is power (Q2001880) (← links)
• Revisiting g-estimation of the effect of a time-varying exposure subject to time-varying confounding (Q2001884) (← links)
• Evaluating the impact of a HIV low-risk express care task-shifting program: a case study of the targeted learning roadmap (Q2001893) (← links)
• A fundamental equivalence between randomized experiments and observational studies (Q2001897) (← links)
• Posterior predictive treatment assignment methods for causal inference in the context of time-varying treatments (Q2059304) (← links)
• A generalized theory of separable effects in competing event settings (Q2074081) (← links)
• Doubly robust estimation in causal inference with missing outcomes: with an application to the aerobics center longitudinal study (Q2076154) (← links)
• Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths (Q2078796) (← links)
• Causal inference for the effect of mobility on Covid-19 deaths (Q2080760) (← links)
• Beyond the mean: a flexible framework for studying causal effects using linear models (Q2088915) (← links)
• Optimizing acute myelogenous leukemia treatment regimes via sequential structural mean models (Q2089401) (← links)
• Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes (Q2105179) (← links)
• Exact parametric causal mediation analysis for a binary outcome with a binary mediator (Q2125970) (← links)
• Bounding the local average treatment effect in an instrumental variable analysis of engagement with a mobile intervention (Q2135335) (← links)
• Sufficient dimension reduction for average causal effect estimation (Q2147407) (← links)
• Causal inference for time-varying treatments in latent Markov models: an application to the effects of remittances on poverty dynamics (Q2170449) (← links)
• Log-linear models to evaluate direction of effect in binary variables (Q2175658) (← links)
• New \(G\)-formula for the sequential causal effect and blip effect of treatment in sequential causal inference (Q2176611) (← links)
• The stratified micro-randomized trial design: sample size considerations for testing nested causal effects of time-varying treatments (Q2194456) (← links)
• Correcting an estimator of a multivariate monotone function with isotonic regression (Q2199702) (← links)
• Semiparametric Bayesian causal inference (Q2215769) (← links)
• Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study (Q2218059) (← links)
• Identification in nonparametric models for dynamic treatment effects (Q2236887) (← links)
• Difference-in-differences with multiple time periods (Q2236892) (← links)
• Comparison of causal effect estimators under exposure misclassification (Q2266902) (← links)
• Dealing with death when studying disease or physiological marker: the stochastic system approach to causality (Q2274687) (← links)
• Defining causal mediation with a longitudinal mediator and a survival outcome (Q2305779) (← links)
• Statistical analysis and evaluation of macroeconomic policies: a selective review (Q2307816) (← links)
• Pattern-mixture-type estimation and testing of neuroblastoma treatment regimes (Q2320951) (← links)
• Comment: Spherical cows in a vacuum: data analysis competitions for causal inference (Q2325610) (← links)
• A generalized back-door criterion (Q2352735) (← links)
• Estimation of average causal effect using the restricted mean residual lifetime as effect measure (Q2364042) (← links)
• Causal inference for continuous-time processes when covariates are observed only at discrete times (Q2429926) (← links)
• A note on the use of kernel functions in weighted estimators (Q2483874) (← links)
• Extended statistical modeling under symmetry; the link toward quantum mechanics (Q2493545) (← links)
• Double robust estimation in longitudinal marginal structural models (Q2581663) (← links)
• Estimating the average treatment effect in randomized clinical trials with all-or-none compliance (Q2686032) (← links)
• The identification of direct and indirect effects in studies with an unmeasured intermediate variable (Q2791838) (← links)
• Bayesian Nonparametrics for Missing Data in Longitudinal Clinical Trials (Q2800209) (← links)
• Comparing treatment policies with assistance from the structural nested mean model (Q2805172) (← links)
• Deductive derivation and Turing-computerization of semiparametric efficient estimation (Q2809510) (← links)
• On the estimation accuracy of causal effects using supplementary variables (Q2815595) (← links)
• Graphs for margins of Bayesian networks (Q2821469) (← links)
• Effect of vitamin A deficiency on respiratory infection: causal inference for a discretely observed continuous time non-stationary Markov process (Q2856565) (← links)
• Inference Problems in the Analysis of the Relationship Between Alcohol Consumption and Coronary Heart Disease (Q2876143) (← links)
• Inference for causal interactions for continuous exposures under dichotomization (Q2893401) (← links)
• A powerful and robust test statistic for randomization inference in group-randomized trials with matched pairs of groups (Q2893984) (← links)