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This is a retrospective observational study looking at a binary outcome (1=yes, 2=no).
Overall sample of 100,000 patients.
70% of patients are in the no group and 30% in the yes group. Am I still okay to use chi square tests to compare categorical variables as long as table cells contain more than 5 observations?
For univariable statistics comparing continuous variables between the two groups - for example, age in years - am I okay to use a two-sample T-test?
Also, my distribution for age is somewhat bimodal
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Since it's almost 2:1 why not do a case control matching instead?
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Or PROC FMM. That plot looks like a classic mixture of a normal and a gamma distribution.
SteveDenham
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No, but what it can do is a Bayesian analysis, where the mean, standard deviation and credible interval bounds of the posterior distributions are reported.
Granted that this approach may be using a bazooka to swat a fly...
SteveDenham