My data has around 5,000 clients who are admitted to treatment/recovery services. I have two Dependent Variables.
The first Dependent Variable is treatment outcome ("was the treatment successful?"), which is dichotomous categorical value of Yes or No. Here, I coded Yes as 1 and No as 0.
The Second Dependent Variable is treatment satisfaction, which are grouped in four category:
- Completed with satisfaction,
- Incomplete with satisfaction,
- Incomplete with no satisfaction,
I may re-group them in to 2 groups as Positive (completed with satisfaction, incomplete with satisfaction) and Negative (Incomplete with not satisfaction) and just discard Others.
I have multiple Independent Variables, which vary in their variable types.
To mention couple of them,
- Duration (days spent in the service) - continuous
- Locations of the medical service - categorical
- Types of the medical service - categorical
- Types of medicine they use - categorical
- First age of using the medicine - Is this categorical or continuous?
The purpose is to see whether taking the medicine at early age yields differences from those who took in later ages. Categorical or Continuous?
Applying a $\chi^2$ analysis I've found that the gender and treatment outcome/ gender and treatment response were dependent to each other. The same applies to race/ethnicity. So I want to control for gender, race, and other possible covariates.
I'd like to know whether any of those Independent Variables have effect/relationship to my two Dependent Variables. Do you recommend two different analysis for the two dependent variables?
- Do clients with longer duration in service tend to show unsuccessful treatment outcome and/or treatment response?
- Do clients who started taking medicine in early age show successful treatment outcome and/or treatment response?
- Do clients who received service from Location A shows better treatment outcome and/or and/or treatment response than those who received from Location B?
What tests do you think will be the most appropriate and effective?