Reconciling design-based and model-based causal inferences for split-plot experiments-Reference-Cited by-同舟云学术

Reconciling design-based and model-based causal inferences for split-plot experiments

Published:2022-04-01 Issue:2 Volume:50 Page:
ISSN:0090-5364
Container-title:The Annals of Statistics
language:
Short-container-title:Ann. Statist.

Author:

Zhao Anqi¹,Ding Peng²

Affiliation:

1. Department of Statistics and Data Science, National University of Singapore

2. Department of Statistics, University of California, Berkeley

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference55 articles.

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3. BELL, R. M. and MCCAFFREY, D. F. (2002). Bias reduction in standard errors for linear regression with multi-stage samples. Surv. Methodol. 28 169–181.

4. BOX, G. E. P. and ANDERSEN, S. L. (1955). Permutation theory in the derivation of robust criteria and the study of departures from assumption. J. R. Stat. Soc. Ser. B. Stat. Methodol. 17 1–34.

5. CAMERON, A. and MILLER, D. (2015). A practitioner’s guide to cluster-robust inference. J. Hum. Resour. 50 317–372.

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