Some models and methods for the analysis of observational data

DOI10.1214/15-SS110zbMath1327.62284OpenAlexW2141580528MaRDI QIDQ888234

José António Sousa Jorge Ferreira

Publication date: 5 November 2015

Published in: Statistics Surveys (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ssu/1442364037

zbMATH Keywords

stratificationestimationtestingconfoundingtreatment effectobservational datapropensity scores

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Applications of statistics to social sciences (62P25) Nonparametric tolerance and confidence regions (62G15) Nonparametric inference (62G99)

Related Items (3)

The Generalized Oaxaca-Blinder Estimator ⋮ The role of exchangeability in causal inference ⋮ Models under which random forests perform badly; consequences for applications

Uses Software

• R
• np
• randomForest
• ElemStatLearn
• kSamples
• DOS

Cites Work

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• Matching methods for causal inference: a review and a look forward
• Causal inference in statistics: an overview
• Matched Sampling for Causal Effects
• On the Failure of the Bootstrap for Matching Estimators
• The central role of the propensity score in observational studies for causal effects
• Asymptotic Statistics
• Causal Reasoning from Longitudinal Data*
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• Causal Inference for Statistics, Social, and Biomedical Sciences
• Statistical Models and Causal Inference
• Design of observational studies
• Observational studies.

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