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    Cancer study in statistics

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    This question is taken out of "Fundamentals of Biostatistics" which I need help on. The program we are using is R

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    Obesity and Breast Cancer Study

    Obesity is very common in American society and is a risk factor for breast cancer for postmenopausal women. One mechanism explaining why obesity is a risk factor is that it may raise the estrogen levels in women. In particular, one type of estrogen, serum estradiol, is a strong risk factor for breast cancer. To better assess these relationships, researchers studied a group of 151 African American and 60 Caucasian
    premenopausal women. Adiposity was measured in two different ways
    (i) by body mass index (BMI) = weight (kg)/height2(m2) and also (ii) by waist-hip ratio (WHR) = waist circumference / hip circumference. BMI is a measure of overall adiposity, whereas WHR is a measure of abdominal adiposity. In addition, a complete hormonal profile was obtained, including serum cholesterol (ES 1). Finally, other breast cancer risk factors were also assessed among these women, including (1) eth-
    nicity (Ethnicity = 1 if African-American, = 0 if Caucasian), (2) age (Age ), (3) parity (Num child = number of children), (4) age at first birth (Agefbo), (5) any children (Anykids = 1 if yes, = 0 if no), (6) age at menarche (Agemenar = age when menstrual periods begin). The data are available in additional folder.

    BMI is classified as: normal if < 25; overweight if ≥ 25, < 30, and obese if ≥ 30. Compare the distribution of BMI between Caucasian and African-American women using the above classification (use a two-tailed test) and report your findings.
    Is there a crude association between either measure of adiposity (BMI, WHR), considered separately, and serum estradiol?
    Are these relationships similar for Caucasian ...

    Solution Summary

    This question is taken out of "Fundamentals of Biostatistics" which I need help on