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usefulness of the forecast, and perception of forecast performance by the public. Statistical post-processing techniques can help to reduce forecast errors by training machine learning models on data sets
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appropriate and diverse statistical analyses, and writing reports for interdisciplinary audiences, such as policymakers, child welfare administrators, and researchers. The range of evaluation work includes
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including fiscal data detailing school and district expenditures. Expertise in advanced social and behavioral science statistical methods including the use of regression models and rigorous program evaluation
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