Randomization Inference and Sensitivity Analysis for Composite Null Hypotheses With Binary Outcomes in Matched Observational Studies-Reference-Cited by-同舟云学术

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Randomization Inference and Sensitivity Analysis for Composite Null Hypotheses With Binary Outcomes in Matched Observational Studies

Published:2017-01-02 Issue:517 Volume:112 Page:321-331
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Fogarty Colin B.¹²,Shi Pixu³,Mikkelsen Mark E.⁴,Small Dylan S.²

Affiliation:

1. MIT Sloan School of Management and Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA

2. Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA

3. Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA

4. Division of Pulmonary and Critical Care Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2016.1138865

Reference36 articles.

1. Identification of Causal Effects Using Instrumental Variables

2. Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants

3. Generalized Cornfield conditions for the risk difference

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