Given a set of categorical answers on a report how can the data be best analyzed to derive some degree of linkages, and even predictive capacity from such data. For example: Linking insurance status and types of admissions to a hospital
The answer depends. If the DV is continuous then OLS regression or one of it's variants is a good thing to try. If the DV is categorical and binary then logistic regression is good to try and the list goes on. Best wishes, David
PS the attachment below may be helpful.
Austin,
If you think there may be non-linear relationships between your outcome and predictors, machine learning techniques can be a possibility as well. I’ve found random forests in particular to be a useful adjunct when I am unsure of the functional form of the relationship between predictors and outcome.
Different kinds of non-linear techniques (neural networks, decision trees, etc.) can be found in R packages and SAS Enterprise Miner.
Let me know if you need help implementing one of these models.
Best,
Aran
If you have only categorical data a good choice is also using Bayesian Classifiers.
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