Often, advanced analytical modeling involves evaluating hypotheses, which may be accepted or rejected based on the findings. How do you plan on evaluating your model? Assuming that the original hypotheses were rejected (i.e., unsuccessfully identifying any data patterns), how would you re-assess or make adjustments to either the modeling or the hypotheses? You may find the article Principles of Good Practice for Decision Analytic Modeling in Healthcare Evaluation helpful.
In your responses to your classmates’ posts, comment on the ideas posed in the posts and propose approaches to present pilot results that need revision.
To complete this assignment, review the Discussion Rubric document.
