The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches-Reference-Cited by-同舟云学术

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The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches

Published:2015-12-16 Issue:1 Volume:9 Page:58-70
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal

Author:

Frumento Paolo¹,Mealli Fabrizia²,Pacini Barbara³,Rubin Donald B.⁴

Affiliation:

1. Institute of Environmental Medicine (IMM), Karolinska Institutet; Stockolm Sweden

2. Department of Statistics, Informatics, Applications; University of Florence; Florence Italy

3. Department of Political Science; University of Pisa; Via Serafini 3 Pisa 56126 Italy

4. Department of Statistics; Harvard University; Boston MA USA

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Reference43 articles.

1. Principal stratification in causal inference;Frangakis;Biometrics,2002

2. Consistency on the maximum likelihood estimator in the presence of infinitely many incidental parameters;Kiefer;Ann Math Stat,1956

3. Estimating the components of a mixture of normal distributions;Day;Biometrika,1969

4. An iterative procedure for obtaining maximum likelihood estimation of the parameters for a mixture of normal distributions;Peters;SIAM J Appl Math,1978

5. Note on the consistency of the maximum likelihood estimate for nonidentifiable distributions;Redner;Ann Stat,1981

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2. References;Statistical Analysis with Missing Data, Third Edition;2019-04-12

3. Causal Inference: A Missing Data Perspective;Statistical Science;2018-05-01

4. Compared to what? Variation in the impacts of early childhood education by alternative care type;The Annals of Applied Statistics;2016-09-01

5. Principal stratification analysis using principal scores;Journal of the Royal Statistical Society: Series B (Statistical Methodology);2016-06-28

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