1. Evaluate the oncology literature, including study design, methodology, statistical analysis, and applicability of the results to clinical practice for the oncology patient population.
2. Identify potential sources of bias and evaluate the appropriateness of conclusions drawn based on outcomes in an oncology study report.
3. Select an appropriate statistical test (parametric or nonparametric) for use in evaluating the findings from an oncology study based on the type of data (i.e., nominal, ordinal, continuous).
4. Critique the validity and interpret the results of various types of oncology studies (e.g., meta-analyses, noninferiority trials).
5. Interpret findings from the use of study endpoints (e.g., objective response, time to progression, adverse events, quality of life, overall survival) in oncology research.
6. Define, calculate, and interpret sensitivity, specificity, positive and negative predictive values, measures of effect, correlation, and regression for an oncology study.