Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies

DOI10.1191/0962280204SM351RAzbMath1054.62132OpenAlexW2101536960WikidataQ35640178 ScholiaQ35640178MaRDI QIDQ4825546

Tony Lancaster, Joseph W. Hogan

Publication date: 28 October 2004

Published in: Statistical Methods in Medical Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1191/0962280204sm351ra

zbMATH Keywords

endogeneitycausal effectsregression modelsignorabilitystructural modelscross sectional data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

A Note on the Relation of Inverse-Probability-Weighting and Matching Estimators ⋮ Instrumental Variable Estimators for Binary Outcomes ⋮ Testing Inference from Logistic Regression Models in Data with Unobserved Heterogeneity at Cluster Levels ⋮ Reinforced Designs: Multiple Instruments Plus Control Groups as Evidence Factors in an Observational Study of the Effectiveness of Catholic Schools

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