Identification and responses to positivity violations in longitudinal studies: an illustration based on invasively mechanically ventilated ICU patients

Author:

Jensen Aksel K.G.12ORCID,Lange Theis23ORCID,Schjørring Olav L.345ORCID,Petersen Maya L.1

Affiliation:

1. Division of Epidemiology and Biostatistics, University of California, CA, Berkeley

2. Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark

3. Collaboration for Research in Intensive Care, Copenhagen, Denmark

4. Department of Anaesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark

5. Department of Clinical Medicine, Aalborg University, Aalborg, Denmark

Publisher

Informa UK Limited

Reference34 articles.

1. Diagnosing and responding to violations in the positivity assumption

2. Causal inference in epidemiological studies with strong confounding

3. A Structural Approach to Selection Bias

4. Limitation of Inverse Probability-of-Censoring Weights in Estimating Survival in the Presence of Strong Selection Bias

5. Wang Y Petersen ML Bangsberg D et al. Diagnosing bias in the inverse probability of treatment weighted estimator resulting from violation of experimental treatment assignment. Berkeley (CA): Division of Biostatistics University of California 2006. (http://www.bepress.com/ucbbiostat/paper211).

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