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Policy Brief 4.5

Data Quality And Bias in Public Health for Fortune 500 Firms: A time-series forecasting

8
Pages
MLA
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~ 8–13 mins
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RPA Sustainability NLP
Abstract

This policy brief investigates “Data Quality And Bias in Public Health for Fortune 500 Firms: A time-series forecasting” using a panel regression with fixed effects. Through a human-centered lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Data Quality And Bias in Public Health for Fortune 500 Firms: A time-series forecasting

ABSTRACT
Data Quality And Bias in Public Health for Fortune 500 Firms: A time-series forecasting is unpacked across themes: risks, scalability, ethics, and change enablement. Limitations and future research paths are noted.
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