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Gabriel EE, Sjölander A, Sachs MC. Nonparametric Bounds for Causal Effects in Imperfect Randomized Experiments. J Am Stat Assoc 2021. [DOI: 10.1080/01621459.2021.1950734] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Erin E. Gabriel
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Arvid Sjölander
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Michael C. Sachs
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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2
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Gabriel EE, Sachs MC, Sjölander A. Causal Bounds for Outcome-Dependent Sampling in Observational Studies. J Am Stat Assoc 2020. [DOI: 10.1080/01621459.2020.1832502] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Erin E. Gabriel
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Michael C. Sachs
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Arvid Sjölander
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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3
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Daniel RM, De Stavola BL, Vansteelandt S. Commentary: The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented? Int J Epidemiol 2018; 45:1817-1829. [PMID: 28130320 PMCID: PMC5841837 DOI: 10.1093/ije/dyw227] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/20/2016] [Indexed: 12/16/2022] Open
Affiliation(s)
- Rhian M Daniel
- LSHTM Centre for Statistical Methodology and Medical Statistics Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Bianca L De Stavola
- LSHTM Centre for Statistical Methodology and Medical Statistics Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Stijn Vansteelandt
- Department of Applied Mathematics, Computer Sciences and Statistics, Ghent University, Ghent, Belgium
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Shan N, Dong X, Xu P, Guo J. Sharp Bounds on Survivor Average Causal Effects When the Outcome Is Binary and Truncated by Death. ACM T INTEL SYST TEC 2016. [DOI: 10.1145/2700498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
In randomized trials with follow-up, outcomes may be undefined for individuals who die before the follow-up is complete. In such settings, Frangakis and Rubin [2002] proposed the “principal stratum effect” or “Survivor Average Causal Effect” (SACE), which is a fair treatment comparison in the subpopulation that would have survived under either treatment arm. Many of the existing results for estimating the SACE are difficult to carry out in practice. In this article, when the outcome is binary, we apply the symbolic Balke-Pearl linear programming method to derive simple formulas for the sharp bounds on the SACE under the monotonicity assumption commonly used by many researchers.
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Affiliation(s)
- Na Shan
- Changchun University of Technology, Changchun, Jilin, P. R. China
| | - Xiaogang Dong
- Changchun University of Technology, Changchun, Jilin, P. R. China
| | - Pingfeng Xu
- Changchun University of Technology, Changchun, Jilin, P. R. China
| | - Jianhua Guo
- Key Laboratory for Applied Statistics of MOE and Northeast Normal University, Changchun, Jilin, P. R. China
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Kuroki M. Sharp bounds on causal effects using a surrogate endpoint. Stat Med 2013; 32:4338-47. [DOI: 10.1002/sim.5873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2013] [Accepted: 05/09/2013] [Indexed: 11/06/2022]
Affiliation(s)
- Manabu Kuroki
- The Institute of Statistical Mathematics; 10-3, Midori-cho, Tachikawa Tokyo 190-8562 Japan
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