Mark Bailey, Senior Analytics Software Tester, JMP Statistical Discovery LLC
Jianfeng Ding, Senior Research Statistician Developer, JMP
It is common to need to compare two populations with only a sample of each population. Statistical inference can help the comparison. Our presentation is about inference involving two hypotheses: the alternative hypothesis and the null hypothesis. Sometimes the goal is to provide sufficient evidence to decide that there is a significant difference between two populations. The goal at other times is to provide sufficient evidence that there is significant equivalence, non-inferiority, or superiority between two populations. These two situations require different tests. We will review these situations, appropriate hypotheses, and appropriate tests using common examples.
Another common comparison is between two measurements of the same quantity. Our presentation will focus instead on the Method Comparison protocol for chemical and biological assays used by pharmaceutical and biotechnology development and manufacturing. We will present two methods that are available in JMP® 17 to assess the accuracy of a new test method against an established reference method. One method is known as Deming regression or Fit Orthogonal in JMP. The second method is known as Passing-Bablok regression. We will review the background of assessing accuracy and the unique nature of data from method comparisons, and demonstrate both regression methods with examples.
