Authoritative Readings and Resources#
These resources extend the supplied learning chapters in AINS6101 Predictive Analytics in Population Health. They were selected because they are primary standards, official documentation, open textbooks, or authoritative institutional guidance—not unsourced link lists.
How to Read Them#
For each module, read the supplied chapter first. Then use the two linked resources at the end of that chapter to test terminology, compare the course’s worked example with an authoritative treatment, and identify one point that should change or qualify your recommendation. Students are not expected to read every linked document cover to cover.
1. CDC PLACES#
Local population-health measures and data access.
Use with: Population health data ecosystems, Forecasting and surveillance, Equity and social determinants, Population analytics portfolio.
3. CDC Data Modernization Initiative#
Public-health data systems and modernization.
Use with: Risk stratification and prediction, Causal inference and confounding, Intervention targeting and evaluation, Privacy and public-health governance.
4. STROBE Statement#
Reporting guidance for observational health studies.
Use with: Causal inference and confounding, Forecasting and surveillance, Privacy and public-health governance, Population analytics portfolio.
Source-Use Standard#
Assignments should distinguish among measured notebook evidence, course-provided synthetic evidence, claims supported by these sources, and the student’s own professional judgment. Cite the specific page, section, control, or documentation topic used; a bare homepage link is not adequate evidence.