# Indicators of disease

I have this dataset with size (rows) and shape (columns) and in each cell #disease/#in cell . How would I answer the following questions?

Is size an indicator of disease?
Is shape an indicator of disease?
Is there a size*shape effect?

Size          shapea    shapeb     shapec    %a    %b    %c
<4 mm       5 / 5771    0 / 26    1 / 522  0.1%  0.0%  0.2%
4-6 mm      9 /  739    1 / 11    2 / 149  1.2%  9.1%  1.3%
6-8 mm      3 /  496    0 /  7    1 / 126  0.6%  0.0%  0.8%
>=8 mm     33 /  276   18 / 26    8 / 146 12.0% 69.2%  5.5%

Total      50 / 7282   19 / 70   12 / 943  0.7% 27.1%  1.3%


Thanks, Luther88

Edits

@suncoolsu in detail these are nodule data. size is the size of the nodule (the cutoffs are what have been published and accepted as standards). shape is the shape of the nodule. the numerator is the number of malignant nodules and the denominator is the number of nodules of given size and shape combinations.

@onestop i do not have the raw data to do logistic regression. just this table.

any further suggestions?

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you case looks like a classical case of categorical data analysis. Can you please elaborate what do the fractions represent? An elaborate description of the data and problem will help us answer your question better. –  suncoolsu Mar 14 '11 at 21:44
For the sake of clarity, I have moved the comments you left in your question. –  chl Mar 16 '11 at 9:39