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On finite-population Bayesian inferences for 2K factorial designs with binary outcomes
| Content Provider | Scilit |
|---|---|
| Author | Lu, Jiannan |
| Copyright Year | 2019 |
| Description | Inspired by the pioneering work of Rubin [Bayesian inference for causal effects: the role of randomization. Ann Stat. 1978;6:34–58], we employ the potential outcomes framework to develop a finite-population Bayesian causal inference framework for randomized controlled |
| Related Links | http://arxiv.org/pdf/1803.04499 |
| Ending Page | 945 |
| Page Count | 19 |
| Starting Page | 927 |
| ISSN | 00949655 |
| e-ISSN | 15635163 |
| DOI | 10.1080/00949655.2019.1574793 |
| Journal | Journal of Statistical Computation and Simulation |
| Issue Number | 5 |
| Volume Number | 89 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2019-03-24 |
| Access Restriction | Open |
| Subject Keyword | Experimental Psychology Soil Science Factorial Effect Frequentist-bayes Reconciliation Potential Outcome Randomization-based Inference Sensitivity Analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Statistics and Probability Statistics, Probability and Uncertainty Modeling and Simulation |