In booksite.elsevier.com/9780124171138, we have the survival times (in years) of 250 breast cancer patients, that is, the

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In booksite.elsevier.com/9780124171138, we have the survival times (in years) of 250 breast cancer patients, that is, the age that they died due to breast cancer. From this data base, draw a random sample of n = 50 survival times. Use these survival times to perform the following analysis:
(a) Structure a histogram to possibly guide you in identifying the pdf of the subject data.
(b) Use any of the goodness-of-fit test to search in identifying the correct pdf that characterizes the behavior of the given survival times for α = 0.05
(c) State completely the pdf you have identified and discuss its usefulness in obtaining information about the subject data.
(d) Obtain the cdf F(t) of the pdf f(t) you have found. If you take one minus the F(t) you will obtain the survival function, S(t), of the given data. That is, S(t) = 1–F(t). The survival function, S(t), gives you the probability that a given patients drawn the data base of 250 breast cancer patients will survive a specified year.
(e) Write the survival function of the given data set and graph it, that is, S(t) versus t. Discuss the useful information that the graph gives concerning breast cancer patients.
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Mathematical Statistics With Applications In R

ISBN: 9780124171138

2nd Edition

Authors: Chris P. Tsokos, K.M. Ramachandran

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