Multiple-Bias Modelling for Analysis of Observational Data
DOI10.1111/J.1467-985X.2004.00349.XzbMath1099.62129WikidataQ57658805 ScholiaQ57658805MaRDI QIDQ3409822
Publication date: 20 November 2006
Published in: Journal of the Royal Statistical Society Series A: Statistics in Society (Search for Journal in Brave)
sensitivityrisk analysismagnetic fieldsrelative riskodds ratioconfoundingrisk assessmentmeta-analysisobservational dataepidemiologic methodsconfidence profile methodLeukaemiameta-statistics
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Monte Carlo methods (65C05) Estimation in survival analysis and censored data (62N02) Applications of statistics (62Pxx)
Related Items (38)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Bound for Publication Bias Based on the Fraction of Unpublished Studies
- Local Sensitivity Approximations for Selectivity Bias
- Putting Background Information About Relative Risks into Conjugate Prior Distributions
- Principal Stratification in Causal Inference
- Generalized Conjugate Priors for Bayesian Analysis of Risk and Survival Regressions
- Binomial Regression with Misclassification
- Assessing uncertainty about parameter estimates with incomplete repeated ordinal data
- Bayesian Sample Size Determination for Prevalence and Diagnostic Test Studies in the Absence of a Gold Standard Test
- Diagnostics for Multivariate Imputations
- Sensitivity Analysis for Incomplete Contingency Tables: The Slovenian Plebiscite Case
- The Impact of Prior Distributions for Uncontrolled Confounding and Response Bias
- A Bayesian Formulation of Exploratory Data Analysis and Goodness‐of‐fit Testing*
- Inference for imputation estimators
- Bayesian Sample Size Determination for Estimating Binomial Parameters from Data Subject to Misclassification
- Equivalence Between Conditional and Mixture Approaches to the Rasch Model and Matched Case-Control Studies, With Applications
- Observational studies.
This page was built for publication: Multiple-Bias Modelling for Analysis of Observational Data