(i) A survival study uses a Cox proportional hazards model with covariates Z, and Z,, each taking the value 0 or 1. (ii) The maximum partial likelihood estimate of the coefficient vector is: (B. B.) = (0.71,0.20) (ii) The baseline survival function at time to is estimated as S(t,) = Estimate S(t,) for a subject with covariate values Z, = Z, =1. (A) 0.34 (B) 0.49 (C) 0.65 (D) 0.74 (E) 0.84
(i) A survival study uses a Cox proportional hazards model with covariates Z, and Z,, each taking the value 0 or 1. (ii) The maximum partial likelihood estimate of the coefficient vector is: (B. B.) = (0.71,0.20) (ii) The baseline survival function at time to is estimated as S(t,) = Estimate S(t,) for a subject with covariate values Z, = Z, =1. (A) 0.34 (B) 0.49 (C) 0.65 (D) 0.74 (E) 0.84
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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Transcribed Image Text:A survival study uses a Cox proportional hazards model with covariates Z, and Z,,
each taking the value 0 or 1.
(i)
(ii)
The maximum partial likelihood estimate of the coefficient vector is:
(B, ,B.) = (0.71, 0.20)
(iii)
The baseline survival function at time to is estimated as S(t) = 0.65.
Estimate S(t,) for a subject with covariate values Z = Z, =1.
(A)
0.34
(B)
0.49
(C)
0.65
(D)
0.74
(E)
0.84
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