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I have two groups. Each consists of an equal number of subjects. They are given a test. Then they are 'trained' differently. Then the test is repeated. I want to statistically compare the improvement between groups. My data is not normal (the scores on the tests). I initially used a rank...

I am performing an interrater reliability analysis. My analysis has several nominal variables that are being graded and I’ve used Krippendorff’s alpha to generate my interrater reliability statistic. I want to compare reliability between two groups (trained differently). I have 95% confidence...

I am trying to assess interrater reliability for different medical training groups. Each group consists of 20 raters/doctors. They then assess 5 cases. Each case involves a series of 30 questions. The questions are either ordinal or nominal. The ordinal ones have 3 or 4 rankings. The nominal...

I have 300 people. They are placed into one of two groups (Group_Variable: A or B). Then four measurements are taken (V1, V2, V3, V4) and these are on an ordinal scale (1-3). [The four measurements are on different parts of the body but should theoretically have the same value - for example...

I have a plot of 10 incidence rates across time (see picture). I want to calculate the 95% confidence interval for each rate. It would be easiest to just do a normal distribution calculation, but I'm concerned this is not applicable here. For one, they are rare events. I thought to do a poisson...

Hi, Hope I'm in the best place for an answer :) I have a study across 10 years. I have an incidence rate that was calculated for each year along with the 95% confidence interval using a Poisson distribution. My question is how do a get p-values for pairwise comparisons? I understand I can say...