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Oral cancer is one common type of cancer in India. Habits like tobacco chewing are supposed to increase the chance of this disease. Our aim is to assess the role of two treatments (A and B). Assessment must be done after discounting for covariates.
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A data frame with 31 observations on the following 8 variables.
ResponseResponse after treatment
AgeAge (years)
GenderGender
TobaccoTobacco indicator
SmokingSmoking indicator
AlcoholAlcohol indicator
HistoryHistory of surgical treatment
TreatmentTreatment for oral cancer (A/B)
First formulate a 2-way contingency table (treatment X response). Compare treatments. Now form three way contingency tables using one covariate at a time. Compare treatments in each case. Verify that a contingency table with 4 or more dimensions tends to become sparse and has many empty cells. Use Logistic regression to handle all covariates simultaneously.
http://ces.iisc.ernet.in/hpg/nvjoshi/statspunedatabook/databook.html
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