In a study of 31 patients with esophageal cancer, it was found that in 18 of the patients the cancer had metastasized 18 to the lymph nodes. Thus an overall estimate of the probability of metastasis is 0.58. A predictor variable measured on each patient is Size of the tumor (in cm). A fitted logistic regression model is 31 log p(z) (1-p(z), = -2.4+0.6z-2.4+0.6- Size p(z) 1-p(z) (a) Use this model to estimate the odds of metastasis. if a patient's tumor size is 4 cm. (b) Use the model to predict the probability of metastasis if a patient's tumor size is 4 cm. (c) How much do the estimated odds change if the tumor size changes from 4 cm to 5 cm? (d) How much does the estimate of p(z) change if the tumor size changes from 4 cm to 5 cm? (e) How large does a tumor need to be for the estimated probability of metastasis to be at least 0.90?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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In a study of 31 patients with esophageal cancer, it was found that in 18 of the patients the cancer had metastasized
to the lymph nodes. Thus an overall estimate of the probability of metastasis is 0.58. A predictor variable
measured on each patient is Size of the tumor (in cm). A fitted logistic regression model is
18
31
log
p(z)
(1-p(z)
=-2.4+0.6x= -2.4+0.6- Size
p(z)
1-p(z)'
(a) Use this model to estimate the odds of metastasis. if a patient's tumor size is 4 cm.
(b) Use the model to predict the probability of metastasis if a patient's tumor size is 4 cm.
(c) How much do the estimated odds change if the tumor size changes from 4 cm to 5 cm?
(d) How much does the estimate of p(z) change if the tumor size changes from 4 cm to 5 cm?
(e) How large does a tumor need to be for the estimated probability of metastasis to be at least 0.90?
Transcribed Image Text:In a study of 31 patients with esophageal cancer, it was found that in 18 of the patients the cancer had metastasized to the lymph nodes. Thus an overall estimate of the probability of metastasis is 0.58. A predictor variable measured on each patient is Size of the tumor (in cm). A fitted logistic regression model is 18 31 log p(z) (1-p(z) =-2.4+0.6x= -2.4+0.6- Size p(z) 1-p(z)' (a) Use this model to estimate the odds of metastasis. if a patient's tumor size is 4 cm. (b) Use the model to predict the probability of metastasis if a patient's tumor size is 4 cm. (c) How much do the estimated odds change if the tumor size changes from 4 cm to 5 cm? (d) How much does the estimate of p(z) change if the tumor size changes from 4 cm to 5 cm? (e) How large does a tumor need to be for the estimated probability of metastasis to be at least 0.90?
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