Unified Methods for Censored Longitudinal Data and Causality

  title={Unified Methods for Censored Longitudinal Data and Causality},
  author={M. Laan and J. Robins},
Introduction.- General Methodology.- Monotone Censored Data.- CrossSectional Data and Right Censored Data Combined.- Multivariate RightCensored Multivariate Data.- Unified Approach for Causal Inference andCensored Data. 

Topics from this paper

Analysis of failure time data under competing censoring mechanisms
We derive estimators of the survival curve of a failure time in the presence of competing right censoring mechanisms. Our approach allows for the possibility that some or all of the competingExpand
Multiple Time Scales and Longitudinal Measurements in Event History Analysis
A general time-to-event data analysis known as event history analysis is considered. The focus is on the analysis of time-to-event data using Cox's regression model when the time to the event may bExpand
An augmented inverse probability weighted survival function estimator
We analyze an augmented inverse probability of non-missingness weighted estimator of a survival function for a missing censoring indicator model, in the absence and presence of left truncation. TheExpand
Optimal restricted estimation for more efficient longitudinal causal inference.
A novel restricted estimation approach for increasing efficiency is proposed, which can be used with other techniques, is straightforward to implement, and requires no additional modeling assumptions. Expand
Missing Data Imputation and Analysis
In clinical trials, missing data can be caused by a patient’s refusal to continue in a study, treatment failures, adverse events, or patient relocations. Expand
Semiparametric analysis of recurrent events: artificial censoring, truncation, pairwise estimation and inference
  • D. Ghosh
  • Computer Science, Medicine
  • Lifetime data analysis
  • 2010
The connection between this class of methods with truncated data structures and artificial censoring is explored and a new procedure is developed for estimation and inference in a joint model for recurrent events and dependent censoring. Expand
On the estimation of average treatment effects with right-censored time to event outcome and competing risks.
The functional delta method is used to show that the doubly robust estimation equations derive estimators for the nuisance parameters based on working regression models for the outcome, censoring, and treatment distribution conditional on auxiliary baseline covariates are regular asymptotically linear estimators. Expand
Estimation of a bivariate conditional copula when a variable is subject to random right censoring
Abstract: This paper concerns the dependence structure of a random pair (Y1, Y2) conditionally upon a covariate X in the case where the variable Y1 is subject to random right censoring. TheExpand
Semiparametric inference for the proportional mean residual life model with right-censored length-biased data
We propose a semiparametric inference approach for proportional mean residual life model with right-censored length-biased data, that arise frequently in observational studies, especially inExpand