Sage Statisticians in Social Sciences: Impact of Rubin’s Work
Author:
Funder
Japan Society for the Promotion of Science London
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s41745-022-00329-6.pdf
Reference16 articles.
1. Rubin DB (2019) Conditional calibration and the sage statistician. Surv Methodol 45:187–198
2. Rubin DB (1984) Bayesianly justifiable and relevant frequency calculations for the applied statistician. Ann Stat 12:1151–1172. https://doi.org/10.1214/aos/1176346785
3. Rubin DB (1978) A note on Bayesian, likelihood, and sampling distribution inferences. J Educ Stat 3(2):189–201. https://doi.org/10.3102/10769986003002189
4. Rubin DB (1978) Multiple imputations in sample surveys-a phenomenological Bayesian approach to nonresponse. Proc Surv Res Method Sect Am Stat Assoc 1:20–34
5. Rubin DB (1974) Estimating causal effects of treatments in randomised and nonrandomised studies. J Educ Psychol 66(5):688–701. https://doi.org/10.1037/h0037350
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Causal effect of parental reading on later development of children: Demonstrating a Bayesian approach;British Journal of Developmental Psychology;2024-03-12
2. “Comment on the Shigemasu’s article - Sage Statisticians in Social Sciences: Impact of Rubin’s Work”;Journal of the Indian Institute of Science;2022-10
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