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Thread: How to analyze this data

  1. #1
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    How to analyze this data


    I need guidance in analyzing the outcome.

    I have 4 independent variables, and 2 dependent variables. The sample size is ~600.

    I have two groups: Treatment A and Treatment B. I want to determine if treatment B is better than A in achieving superior outcomes.

    The independent variables in each group are #1: Continuous, #2: Ordinal (3 levels), #3:Ordinal (5 levels), #4 Categorical (Yes/No).

    The dependent variables are #1: Ordinal (3 levels) ; #2: Categorical (Yes/No)

    The dependent variable #1 & #2 is based on the decisions factoring all independent variables.

    The dependent variables #1 and #2 are competing goals, i.e., to achieve one, the other sometimes suffers. That is, they are dependent on each other (especially in high-risk cases). In low risk disease, both outcomes are achievable without compromising one another.

    I want to know how best to address analyzing this data: What test(s) to use to determine which independent variables have a significant effect on each or both of the dependent variables; Which treatment achieves optimum goals in both the dependent variables. And, How to determine the effect of of one dependent variable on the other.

    Thank you

  2. #2
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    rogojel's Avatar
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    Re: How to analyze this data

    the second dependent variable cam be clearly analysed using binary logistic regression. Ordinal logistic regression is also a possibility, for the first outcome, but maybe you can simplify your life by turning the 3 levels into two? E.g. by turnig the levels good, neutral, bad into good, not good?

    Once you have a model you can use several tools to find an optimum, e.g. Solver in Excel or Optimizer if you work with Minitab.


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