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Rerandomization Strategies for Balancing Covariates Using Pre-Experimental Longitudinal Data

Research article (Journal of Computational and Graphical Statistics, 2020) · cited 15× · AI/ML
academia openalex:W2981091571
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Rerandomization Strategies for Balancing Covariates Using Pre-Experimental Longitudinal Data

Summary

Rerandomization Strategies for Balancing Covariates Using Pre-Experimental Longitudinal Data is a scholarly article[1].

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  • Rerandomization Strategies for Balancing Covariates Using Pre-Experimental Longitudinal Data's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Rerandomization Strategies for Balancing Covariates Using Pre-Experimental Longitudinal Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/rerandomization-strategies-for-balancing-covariates-using-pre-experimental-longitudinal-data
MLA “Rerandomization Strategies for Balancing Covariates Using Pre-Experimental Longitudinal Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rerandomization-strategies-for-balancing-covariates-using-pre-experimental-longitudinal-data.
BibTeX @misc{4ortxyz_rerandomization-strategies-for-balancing-covariates-using-pre-experimental-longitudinal-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rerandomization Strategies for Balancing Covariates Using Pre-Experimental Longitudinal Data}}, year = {2026}, url = {https://4ort.xyz/entity/rerandomization-strategies-for-balancing-covariates-using-pre-experimental-longitudinal-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rerandomization Strategies for Balancing Covariates Using Pre-Experimental Longitudinal Data — https://4ort.xyz/entity/rerandomization-strategies-for-balancing-covariates-using-pre-experimental-longitudinal-data (retrieved 2026-05-24)

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