Standard Errors for Attributable Risk for Simple and Complex Sample Designs

DOI10.1111/j.1541-0420.2005.00355.xzbMath1078.62115OpenAlexW2160106238WikidataQ81145400 ScholiaQ81145400MaRDI QIDQ5717169

Barry I. Graubard, Thomas R. Fears

Publication date: 12 January 2006

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2005.00355.x

zbMATH Keywords

influence functionpopulation attributable fractionTaylor deviate

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)

Related Items

Model-based estimation of the attributable risk: a loglinear approach ⋮ A Generalized Estimator of the Attributable Benefit of an Optimal Treatment Regime ⋮ Inference using attributable risk for a 2×2 case–control study ⋮ Variance computations for functionals of absolute risk estimates ⋮ Population-based absolute risk estimation with survey data ⋮ Gumbel regression models for a monotone increasing continuous biomarker subject to measurement error

Uses Software

• SAS/IML
• SAS

Cites Work

• Unnamed Item
• Small-Sample Adjustments for Wald-Type Tests Using Sandwich Estimators
• Inference from stratified samples: Properties of the linearization, jackknife and balanced repeated replication methods
• Inference for superpopulation parameters using sample surveys
• Effects of Cluster Sampling on Epidemiologic Analysis in Population-Based Case-Control Studies
• Methods of Inference for Estimates of Absolute Risk Derived from Population-Based Case-Control Studies
• A review of adjusted estimators of attributable risk
• A Generalization of Sampling Without Replacement From a Finite Universe