Hey JMP community, I currently have a resaerch project, where I am looking at two groups of pts: Lupus pts, and Lupus pt who have asthma. Jmp has a large selection of tests that can be done on any type of data, but I have more of a medical background than a stat background, so figuring out which tests are the right tests have been a little frustarting. So far, I have been doing pretty simple comparisons such as looking at distributions. I have also been looking at contingency tables for categorical data, as well as the mean, standard deviation, and a t test for the continuous data. All of these comparisons are between two groups: Asthma yes and asthma no. Are these the correct tests I should be running? Or are there other options that I can take? I've also seen an ANOVA test, but doing a little research as made it seem like you only use an ANOVA with 3+ groups. Also, one of the main things I am trying to do right now it look at lupus flare severity between groups (Each time they are checked they get a SLEDAI, which is a sort of flare indicator). I'm not sure if I should just avg the scores and compare it that way, or somehow make a continuous linear graph that will show flares for individual pts, as well as between the two groups overall. For a little background, I have medications, labwork, social hx, etc for all of these pts. I know there is a lot I can do, and I have ideas. I am only limited by my lack of stat knowledge. Any resources who learning stat interpretation would also be appreciated. Thank you.
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