Type I and Type II errors. Balancing the Risks of Errors in Hypothesis Testing The U.S. FDA is responsible for approving new drugs. Many consumer groups feel that the approval process is too easy and, therefore, too many medications that are later found to be unsafe are approved. On the other hand, several industry lobbyists […]
1. When should statisticians become involved in a clinical trial? Why? (i.e., hint, watch Clinical Research Statistics for Non-Statisticians). 2. In your area of clinical practice what type of statistics have you seen used the most, predictive, causal or both (i.e., provide an example as part of your answer)? Why do you think this is? […]
Competency Formulate and evaluate hypothesis tests for population parameters based on sample statistics using both Critical Regions and P-Values, and be able to state results in a non-technical way that can be understood by consumers of the data instead of statisticians.
