Pages that link to "Item:Q4015838"

The following pages link to Estimation of the time-dependent accelerated failure time model in the presence of confounding factors (Q4015838):

Displaying 41 items.

• Structural nested models and G-estimation: the partially realized promise (Q252829) (← links)
• Does Cox analysis of a randomized survival study yield a causal treatment effect? (Q269762) (← links)
• Defining and estimating intervention effects for groups that will develop an auxiliary outcome (Q449753) (← links)
• Identifying and estimating net effects of treatments in sequential causal inference (Q491423) (← links)
• A martingale approach to continuous-time marginal structural models (Q638761) (← links)
• The effect of winning an Oscar Award on survival: correcting for healthy performer survivor bias with a rank preserving structural accelerated failure time model (Q641129) (← links)
• On computing standard errors for marginal structural Cox models (Q746535) (← links)
• Statistical modeling of causal effects in continuous time (Q930665) (← links)
• Extrapolation and confounding in accelerated material degradation and failure studies (Q1007430) (← links)
• An alternative estimation method for the accelerated failure time frailty model (Q1020102) (← links)
• Semiparametric inference for the accelerated life model with time- dependent covariates (Q1347134) (← links)
• Choice as an alternative to control in observational studies. (With comments and a rejoinder). (Q1431170) (← links)
• Multiple time scales in survival analysis (Q1895378) (← links)
• Statistical methods for dependent competing risks (Q1906155) (← links)
• Identifying the consequences of dynamic treatment strategies: a decision-theoretic overview (Q1950325) (← links)
• On the definition of a confounder (Q1952448) (← links)
• Interview with Anja Sattelmacher: between viewing and touching -- models and their materiality (Q2101901) (← links)
• Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes (Q2105179) (← links)
• Outcome-wide longitudinal designs for causal inference: a new template for empirical studies (Q2218075) (← links)
• Causal inference for continuous-time processes when covariates are observed only at discrete times (Q2429926) (← links)
• Treatment effect estimation with covariate measurement error (Q2512523) (← links)
• Effect of vitamin A deficiency on respiratory infection: causal inference for a discretely observed continuous time non-stationary Markov process (Q2856565) (← links)
• G-estimation and artificial censoring: problems, challenges, and applications (Q2894020) (← links)
• A Case-Control Follow-up Study for Disease-Specific Mortality (Q3079083) (← links)
• The Intensity-Score Approach to Adjusting for Confounding (Q3079109) (← links)
• Estimation of Direct Effects for Survival Data by using the Aalen Additive Hazards Model (Q3107203) (← links)
• A consistent estimator in the accelerated failure time model with censored observations and measurement errors (Q3114557) (← links)
• (Q3397659) (← links)
• Analysis of Times to Repeated Events in Two-Arm Randomized Trials with Noncompliance and Dependent Censoring (Q3445339) (← links)
• (Q3561136) (← links)
• ACCELERATED FAILURE TIME MODELS WITH NONLINEAR COVARIATES EFFECTS (Q3592380) (← links)
• Efficient Estimation for the Accelerated Failure Time Model (Q3632602) (← links)
• Correcting for non-compliance in randomized trials using structural nested mean models (Q4843693) (← links)
• Semiparametric Estimators for Limited Dependent Variable (LDV) Models with Endogenous Regressors (Q5080145) (← links)
• Assessing the Causal Effect of Organ Transplantation on the Distribution of Residual Lifetime (Q5407999) (← links)
• Structural Nested Models and Standard Software: A Mathematical Foundation through Partial Likelihood (Q5430607) (← links)
• An issue about the efficacy for the time-to-event outcome based on accelerated failure time model with interaction of unrecognized heterogeneity and main effect (Q5875253) (← links)
• Simulating longitudinal data from marginal structural models using the additive hazard model (Q6064197) (← links)
• Within-person variability score-based causal inference: a two-step estimation for joint effects of time-varying treatments (Q6198875) (← links)
• G-estimation of structural nested mean models for interval-censored data using pseudo-observations (Q6626910) (← links)
• Structural nested mean models to estimate the effects of time-varying treatments on clustered outcomes (Q6637130) (← links)