Partial identification and robust treatment choice: an application to young offenders

DOI10.1080/15598608.2009.10411923zbMath1211.62191OpenAlexW1972857495MaRDI QIDQ2431673

Jörg Stoye

Publication date: 18 April 2011

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2009.10411923

zbMATH Keywords

minimax regretboundspartial identificationtreatment choicetreatment evaluationstatistical decision rules

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Minimax procedures in statistical decision theory (62C20)

Related Items (5)

Minimax regret treatment choice with finite samples ⋮ Partially identified prevalence estimation under misclassification using the kappa coefficient ⋮ Reliable Inference in Categorical Regression Analysis for Non‐randomly Coarsened Observations ⋮ Statistical modeling under partial identification: distinguishing three types of identification regions in regression analysis with interval data ⋮ Minimax regret treatment choice with covariates or with limited validity of experiments

Cites Work

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• Minimax-regret treatment choice with missing outcome data
• Statistical decisions under ambiguity
• Statistical decision theory and Bayesian analysis. 2nd ed
• Partial identification of probability distributions.
• Bayesian and Frequentist Inference in Partially Identified Models
• Asymptotics for Statistical Treatment Rules
• Monotone Instrumental Variables: With an Application to the Returns to Schooling
• Confidence Intervals for Partially Identified Parameters
• Causal Inference Using Potential Outcomes
• The Theory of Statistical Decision

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