Search Results for "Poverty Guidelines, Research"
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Child and Caregiver Outcomes Using Linked Data (CCOULD)
Publication Date
The goal of the CCOULD project was to provide technical assistance to states in linking the Medicaid administrative claims of children and their caregivers with case-level data from the child welfare system and to combine the state-specific datasets into a multi-state, deidentified dataset for secondary data analysis by researchers.
Avoiding Racial Bias in Child Welfare Agencies' Use of Predictive Risk Modeling
Publication Date
In recent years several researchers and child welfare agencies have begun developing predictive risk models to support child welfare decision-making. Predictive analytics is a sophisticated form of risk modeling that uses historical data to understand relationships between myriad factors to estimate a probability score for the outcome of interest.
Child and Caregiver Outcomes Using Linked Data: Project Overview
Publication Date
The Child and Caregiver Outcomes Using Linked Data project provides technical assistance to states to develop state-specific datasets linking the Medicaid administrative claims of parents with the records of their children from the child welfare system. The data will be combined into a multi-state, de-identified data sets for secondary data analysis.