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Number of possible statistical test can be used on the observation data.

I am working on research paper for diagnosis of cancer.

List of Known prognostic factors

  1. Age of patient
  2. Size of tumor
  3. Grade of tumor
  4. Lymphnode involvement

and list of Unknown factors which are to be assessed with prognosis by correlating with known prognostic factors. u1,u2 and u3

I have 128 patient records for all three unknown factor. I have 231 patient records for u1 data is there and have missing u2 and u3 data.

I wanted to know what statistical test and data visualization I can use on these small set of data I have (Multiple anova eg) to show the relationship between the known and unknown factors.

r

1 answer

  1. You can find correlation among these variables and compare the correlation of known and unknown factors.
  2. Perform anova on groups and compare the group mean using post-hoc test (eg. tukey). Be careful here as you have unbalanced data

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