Hi everyone, I have a deidentified dataset of longterm care facility residents. I have 6 months worth of data where a MD diagnosed malnutrition based on weight. Binary variable = MD_mal (1 or 0). My plan is to have an RD, blinded to the MD_mal column assess the same dataset by applying their approach to diagnosing malnutrition which will include weight, caloric intake, grip strength etc. which will result in Binary variable = RD_mal. I would then like to compare MD_mal vs RD_mal incidence over time (6-months). What would be the best statistical test? repeated measures ANOVA? Can I even use it or does it not meet assumptions? Any input would be greatly appreciated. Thank you much in advance, Lisa
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