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A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding

v1v2v3v4 (latest)

A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding

4 February 2024

Fan Li

ArXiv (abs)PDF HTML Github (2★)

Papers citing "A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding"

6 / 6 papers shown

Bayesian Semiparametric Model for Sequential Treatment Decisions with
Informative Timing

Bayesian Semiparametric Model for Sequential Treatment Decisions with Informative Timing

Arman Oganisian

162

7

0

29 Nov 2022

Estimating Individual Treatment Effects using Non-Parametric Regression
Models: a Review

Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review

I. Manolopoulou

392

78

0

14 Sep 2020

Estimating heterogeneous survival treatment effect in observational data
using machine learning

Estimating heterogeneous survival treatment effect in observational data using machine learning

Fan Li

274

79

0

17 Aug 2020

Heterogeneous causal effects with imperfect compliance: a Bayesian
machine learning approach

Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approachAnnals of Applied Statistics (AOAS), 2019

Falco J. Bargagli-Stoffi

Kristof De-Witte

239

18

0

29 May 2019

Automated versus do-it-yourself methods for causal inference: Lessons
learned from a data analysis competition

Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition

923

329

0

09 Jul 2017

BART: Bayesian additive regression trees

BART: Bayesian additive regression trees

575

1,997

0

19 Jun 2008

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