Data, Analytics & Informatics
Methods to reduce bias
Compare methods to reduce bias across recruitment, assignment, measurement, analysis and reporting, with worked standardization examples and CPH practice questions.
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CPH Exam preparation
Mapped to the ten-domain NBPHE content outline updated August 1, 2024. Broadly Epi last verified this mapping on August 2, 2026.
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Incidence and prevalence
CPH exam review: distinguish incidence from prevalence and choose the denominator appropriate to each measure.
Begin this lessonCurriculum map
Ten CPH competency domains
Percentages show the official exam-domain weighting, not your personal study priority. Choose a domain to see its lessons.
- 1Data, Analytics & Informatics29 lessons · 12% of exam
- 2Communication5 lessons · 12% of exam
- 3Leadership0 lessons · 9% of exam
- 4Law & Ethics0 lessons · 8% of exam
- 5Disease & Injury Prevention0 lessons · 11% of exam
- 6Community Engagement & Partnerships0 lessons · 10% of exam
- 7Program Planning & Evaluation0 lessons · 11% of exam
- 8Program & Resource Management0 lessons · 9% of exam
- 9Policy & Advocacy0 lessons · 8% of exam
- 10Health Outcomes & Population Perspectives0 lessons · 10% of exam
Lessons
Data, Analytics & Informatics
Data, Analytics & Informatics
Hill’s considerations for causation
Use Hill's considerations for causation to assess an evidence-based argument, distinguish temporality from dose-response, and practice identifying limitations.
Data, Analytics & Informatics
Types of bias in epidemiology
Distinguish selection, information and publication bias, recognize their mechanisms, and work through CPH practice questions without overstating study validity.
Data, Analytics & Informatics
Confounding and effect modification
Distinguish confounding and effect modification using crude and adjusted estimates, worked risk comparisons, and explicit attention to scale and uncertainty.
Data, Analytics & Informatics
Logistic regression
CPH exam review: interpret logistic regression results for binary outcomes while distinguishing odds from probability.
Data, Analytics & Informatics
Linear regression
CPH exam review: interpret linear regression coefficients and identify assumptions and limitations of the model.
Data, Analytics & Informatics
Survival analysis
CPH exam review: interpret time-to-event data and explain why censoring matters in survival analysis.
Data, Analytics & Informatics
Parametric and nonparametric tests
CPH exam review: compare parametric and nonparametric tests with attention to data type and assumptions.
