Standardization and control for confounding in observational studies: a historical perspective

DOI10.1214/13-STS453zbMath1331.62287arXiv1503.02853MaRDI QIDQ252802

David Clayton, Niels Keiding

Publication date: 4 March 2016

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1503.02853

zbMATH Keywords

causalityepidemiologyodds ratio\(2\times2\times K\) tabledecomposition of ratesexpected number of deathsG. U. YuleH. Westergaardlog-linear modelmarginal structural modelNational Halothane Studyrate ratiotransportability

Mathematics Subject Classification ID

History of mathematics in the 20th century (01A60) History of statistics (62-03) Contingency tables (62H17)

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The role of exchangeability in causal inference, Doubly robust estimator for indirectly standardized mortality ratios

Cites Work

• Population Marginal Means in the Linear Model: An Alternative to Least Squares Means
• The prognostic analogue of the propensity score
• Nonparametric inference for a family of counting processes
• Age-period-cohort analysis in the 1870s: Diagrams, stereograms, and the basic differential equation
• Components of a Difference Between Two Rates
• Use of Many Covariates in Clinical Trials
• The central role of the propensity score in observational studies for causal effects
• Statistical Analysis of a Multiplicative Model and Its Application to the Standardization of Vital Rates: A Review
• The Analysis of Rates and of Survivorship Using Log-Linear Models
• Summary Rates
• Multiplicative Models and Cohort Analysis
• The Design and Analysis of the Observational Study--A Review
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• The Method of Expected Number of Deaths, 1786-1886-1986, Correspondent Paper
• Estimation of the probability of an event as a function of several independent variables
• Joint modelling of longitudinal measurements and event time data
• Some Methods for Strengthening the Common χ 2 Tests
• Statistical models based on counting processes
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