Work

Readings in Targeted Maximum Likelihood Estimation

Year: 2009

Type: article

Abstract: This is a compilation of current and past work on targeted maximum likelihood estimation. It features the original targeted maximum likelihood learning paper as well as chapters on super (machine) learning using cross validation, randomized controlled trials, realistic individualized treatment rules in observational studies, biomarker discovery, case-control studies, and time-to-event outcomes with censored data, among others. We hope this collection is helpful to the interested reader and stimulates additional research in this important area.

Source: Collection of Biostatistics Research Archive (COBRA)

Authors: Mark J. van der Laan, Sherri Rose, Susan Gruber

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: University of California Berkeley, National Institutes of Health, National Institute of Allergy and Infectious Diseases

Award: G6363089351

OpenAlex ID: W1578571784

FWCI: 4.289

Cites: 16

Cited by: 22

Related to: 10