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Question 3: check for normality? 12 10- 10 00 200.00 400 00 1000 00 Lung cancer survival time starting from chemotherapy Treatment type Standard Experimental Aouanba

Question 3: check for normality? 12 10- 10 00 200.00 400 00 1000 00 Lung cancer survival time starting from chemotherapy Treatment type Standard Experimental Aouanba

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question 3: check for normality? 10- 8- 6- 10 200.00 400 00 600 00 800 00 00 1000 .00 Lung cancer survival time starting from chemotherapy Treatment type Standard Experimental Aauenbes
Transcribed Image Text:Question 3: check for normality? 10- 8- 6- 10 200.00 400 00 600 00 800 00 00 1000 .00 Lung cancer survival time starting from chemotherapy Treatment type Standard Experimental Aauenbes
Question 4: fit a cox hazard model using one covariate at a discuss your findings Variables in the Equation B SE Wald diSig. Exp(B)95.0% CI for Exp(B) Lower Upper |-052.0188.559|1 .003 950 Med cond Age Tumor type 917 983 |-003.026.011 1 918 997 948 1.049 1.7073 635 Tumor_type(1) -068 616.012 912 934 3.121 279 Tumor_type(2) 581 632845 1358 1.787 518 Tumor type(3) 791 911 753 1 385/2.205 Time_diag_stud o1s 019664 415 985 950 6.165 370 13.152 1.022 ly Question 5: with those covariate (that the single covariate cox model results a p-value smaller than 0.4), fit a multiple cox model. The single covariate cox model results a p-value smaller than 0.4 are Medical condition with sig 0.003 Tumor type 2 and 3 with sig (0.358 and 0.385)
Transcribed Image Text:Question 4: fit a cox hazard model using one covariate at a discuss your findings Variables in the Equation B SE Wald diSig. Exp(B)95.0% CI for Exp(B) Lower Upper |-052.0188.559|1 .003 950 Med cond Age Tumor type 917 983 |-003.026.011 1 918 997 948 1.049 1.7073 635 Tumor_type(1) -068 616.012 912 934 3.121 279 Tumor_type(2) 581 632845 1358 1.787 518 Tumor type(3) 791 911 753 1 385/2.205 Time_diag_stud o1s 019664 415 985 950 6.165 370 13.152 1.022 ly Question 5: with those covariate (that the single covariate cox model results a p-value smaller than 0.4), fit a multiple cox model. The single covariate cox model results a p-value smaller than 0.4 are Medical condition with sig 0.003 Tumor type 2 and 3 with sig (0.358 and 0.385)
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