Estimating Inverse Probability Weights Using Super Learner When Weight-Model Specification Is Unknown in a Marginal Structural Cox Model Context

Statistics in Medicine - United States
doi 10.1002/sim.7266
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Wiley

Related search

Super Learner Based Conditional Density Estimation With Application to Marginal Structural Models

International Journal of Biostatistics
MedicineUncertaintyStatisticsProbability
2011English

Application of Inverse Probability Weights in Survival Analysis

Journal of Nuclear Cardiology
Nuclear MedicineRadiologyCardiovascular MedicineImagingCardiology
2015English

A Semiparametric Model Selection Criterion With Applications to the Marginal Structural Model

Computational Statistics and Data Analysis
StatisticsProbabilityApplied MathematicsComputational TheoryComputational MathematicsMathematics
2006English

A Test for the Correct Specification of Marginal Structural Models

Statistics in Medicine
EpidemiologyStatisticsProbability
2019English

Dose of Hemodialysis and Survival: A Marginal Structural Model Analysis

American Journal of Nephrology
Nephrology
2014English

Multiscale Structural Model of Super Carbon Nanotubes

Journal of Fiber Bioengineering and Informatics
2014English

Estimating the Occurrence Probability of Heat Wave Periods Using the Markov Chain Model

Journal of Sustainable Development
2015English

Estimating a Structural Model of Herd Behavior in Financial Markets

IMF Working Papers
2010English

Making Use of Multiple Surveys: Estimating Breeding Probability Using a Multievent‐robust Design Capture–recapture Model

Ecology and Evolution
EvolutionEcologyNatureSystematicsBehaviorLandscape Conservation
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy