Double bias: estimation of causal effects from length-biased samples in the presence of confounding

Cites Work

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Latent variable modeling and applications to causality. Proceedings of the 1994 UCLA conference
Asymptotic properties of the product limit estimate under random truncation
Bayesian inference for causal effects: The role of randomization
The corpuscle problem. A mathematical study of a biometric problem.
Association, causation, and marginal structural models.
Why prefer double robust estimators in causal inference?
Unified methods for censored longitudinal data and causality
Asymptotic behavior of the unconditional NPMLE of the length-biased survivor function from right censored prevalent cohort data
Semiparametric theory and missing data.
The effect of methods of ascertainment upon the estimation of frequencies.
Nonparametric estimation for length-biased and right-censored data
Pseudo-partial likelihood estimators for the Cox regression model with missing covariates
Statistical Methods for Analyzing Right-Censored Length-Biased Data under Cox Model
Covariate Bias Induced by Length-Biased Sampling of Failure Times
Nonparametric estimation for right-censored length-biased data: a pseudo-partial likelihood approach
The central role of the propensity score in observational studies for causal effects
Multiplicative censoring, renewal processes, deconvolution and decreasing density: Nonparametric estimation
Nonparametric Estimation from Cross-Sectional Survival Data
Weighted Distributions and Size-Biased Sampling with Applications to Wildlife Populations and Human Families
Length-Biased Sampling With Right Censoring
Proportional Hazards Regression with Missing Covariates
Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
A Weighted Estimating Equation for Missing Covariate Data with Properties Similar to Maximum Likelihood
Non-Parametric Tests for Right-Censored Data with Biased Sampling
Estimating Propensity Scores and Causal Survival Functions Using Prevalent Survival Data
Estimating Exposure Effects by Modelling the Expectation of Exposure Conditional on Confounders
Correcting for non-compliance in randomized trials using structural nested mean models
On fitting Cox's proportional hazards models to survey data
Analyzing Length-Biased Data With Semiparametric Transformation and Accelerated Failure Time Models
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
On the theory of screening for chronic diseases
Weighted Estimators for Proportional Hazards Regression With Missing Covariates
A Generalization of Sampling Without Replacement From a Finite Universe
A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-up
The Propensity Score Estimation in the Presence of Length-biased Sampling: A Nonparametric Adjustment Approach

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