Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design-Reference-Cited by-同舟云学术

Randomization inference for cluster-randomized test-negative designs with application to Dengue studies: Unbiased estimation, partial compliance, and stepped-wedge design

Published:2023-06-01 Issue:2 Volume:17 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Wang Bingkai¹,Dufault Suzanne M.²,Small Dylan S.¹,Jewell Nicholas P.³

Affiliation:

1. Department of Statistics and Data Science, The Wharton School, University of Pennsylvania

2. Division of Pulmonary and Critical Care Medicine, University of California, San Francisco

3. Department of Medical Statistics, London School of Hygiene & Tropical Medicine

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference38 articles.

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3. ANDERS, K. L., CUTCHER, Z., KLEINSCHMIDT, I., DONNELLY, C. A., FERGUSON, N. M., INDRIANI, C., RYAN, P. A., O’NEILL, S. L., JEWELL, N. P. et al. (2018a). Cluster-randomized test-negative design trials: A novel and efficient method to assess the efficacy of community-level Dengue interventions. Am. J. Epidemiol. 187 2021–2028.

4. ANDERS, K. L., INDRIANI, C., AHMAD, R. A., TANTOWIJOYO, W., ARGUNI, E., ANDARI, B., JEWELL, N. P., RANCES, E., O’NEILL, S. L. et al. (2018b). The AWED trial (applying Wolbachia to eliminate Dengue) to assess the efficacy of Wolbachia-infected mosquito deployments to reduce Dengue incidence in Yogyakarta, Indonesia: Study protocol for a cluster randomised controlled trial. Trials 19 1–16.

5. CATTARINO, L., RODRIGUEZ-BARRAQUER, I., IMAI, N., CUMMINGS, D. A. T. and FERGUSON, N. M. (2020). Mapping global variation in Dengue transmission intensity. Sci. Transl. Med. 12.

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