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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.
Response
Response after treatment
Age
Age (years)
Gender
Gender
Tobacco
Tobacco indicator
Smoking
Smoking indicator
Alcohol
Alcohol indicator
History
History of surgical treatment
Treatment
Treatment 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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