4.6 Article

A Note on G-Estimation of Causal Risk Ratios

Related references

Note: Only part of the references are listed.
Article Statistics & Probability

On Modeling and Estimation for the Relative Risk and Risk Difference

Thomas S. Richardson et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2017)

Article Public, Environmental & Occupational Health

Healthy Worker Survivor Bias in the Colorado Plateau Uranium Miners Cohort

Alexander P. Keil et al.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2015)

Article Public, Environmental & Occupational Health

A structural approach to address the healthy-worker survivor effect in occupational cohorts: an application in the trucking industry cohort

Andreas M. Neophytou et al.

OCCUPATIONAL AND ENVIRONMENTAL MEDICINE (2014)

Article Statistics & Probability

Structural Nested Models and G-estimation: The Partially Realized Promise

Stijn Vansteelandt et al.

STATISTICAL SCIENCE (2014)

Article Mathematical & Computational Biology

On regression adjustment for the propensity score

S. Vansteelandt et al.

STATISTICS IN MEDICINE (2014)

Editorial Material Public, Environmental & Occupational Health

Causal Inference in Occupational Epidemiology: Accounting for the Healthy Worker Effect by Using Structural Nested Models

Ashley I. Naimi et al.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2013)

Article Mathematical & Computational Biology

Estimation of Risk Ratios in Cohort Studies with a Common Outcome: A Simple and Efficient Two-stage Approach

Eric Tchetgen Tchetgen

INTERNATIONAL JOURNAL OF BIOSTATISTICS (2013)

Article Public, Environmental & Occupational Health

Log-binomial models: exploring failed convergence

Tyler Williamson et al.

EMERGING THEMES IN EPIDEMIOLOGY (2013)

Editorial Material Public, Environmental & Occupational Health

Structural Nested Models, G-Estimation, and the Healthy Worker Effect The Promise (Mostly Unrealized) and the Pitfalls

Marshall M. Joffe

EPIDEMIOLOGY (2012)

Article Statistics & Probability

Structural Nested Cumulative Failure Time Models to Estimate the Effects of Interventions

Sally Picciotto et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2012)

Article Public, Environmental & Occupational Health

Estimating the effects of time-varying treatments - Incidence of fractures among postmenopausal Japanese women

Shiro Tanaka et al.

EPIDEMIOLOGY (2007)

Article Public, Environmental & Occupational Health

Structural accelerated failure time models for survival analysis in studies with time-varying treatments

MA Hernán et al.

PHARMACOEPIDEMIOLOGY AND DRUG SAFETY (2005)

Article Public, Environmental & Occupational Health

A modified Poisson regression approach to prospective studies with binary data

GY Zou

AMERICAN JOURNAL OF EPIDEMIOLOGY (2004)

Article Statistics & Probability

Causal inference with general treatment regimes: Generalizing the propensity score

K Imai et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2004)