104 lines
3.2 KiB
Plaintext
104 lines
3.2 KiB
Plaintext
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R Under development (unstable) (2019-10-26 r77334) -- "Unsuffered Consequences"
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Copyright (C) 2019 The R Foundation for Statistical Computing
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Platform: x86_64-pc-linux-gnu (64-bit)
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R is free software and comes with ABSOLUTELY NO WARRANTY.
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You are welcome to redistribute it under certain conditions.
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Type 'license()' or 'licence()' for distribution details.
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R is a collaborative project with many contributors.
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Type 'contributors()' for more information and
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'citation()' on how to cite R or R packages in publications.
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Type 'demo()' for some demos, 'help()' for on-line help, or
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'help.start()' for an HTML browser interface to help.
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Type 'q()' to quit R.
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> options(na.action=na.exclude) # preserve missings
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> options(contrasts=c('contr.treatment', 'contr.poly')) #ensure constrast type
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> library(survival)
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>
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> # Tests using the rats data
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> #
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> # (Female rats, from Mantel et al, Cancer Research 37,
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> # 3863-3868, November 77)
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>
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> rfit <- coxph(Surv(time,status) ~ rx + frailty(litter), rats,
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+ method='breslow', subset= (sex=='f'))
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> rfit
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Call:
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coxph(formula = Surv(time, status) ~ rx + frailty(litter), data = rats,
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subset = (sex == "f"), method = "breslow")
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coef se(coef) se2 Chisq DF p
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rx 0.906 0.323 0.319 7.882 1.0 0.005
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frailty(litter) 16.888 13.8 0.253
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Iterations: 6 outer, 25 Newton-Raphson
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Variance of random effect= 0.474 I-likelihood = -181.1
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Degrees of freedom for terms= 1.0 13.9
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Likelihood ratio test=36.3 on 14.8 df, p=0.001
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n= 150, number of events= 40
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>
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> rfit$iter
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[1] 6 25
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> rfit$df
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[1] 0.975943 13.854864
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> rfit$history[[1]]
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$theta
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[1] 0.4742849
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$done
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c.loglik
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TRUE
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$history
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theta loglik c.loglik
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[1,] 0.0000000 -181.8451 -181.8451
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[2,] 1.0000000 -168.3683 -181.5458
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[3,] 0.5000000 -173.3117 -181.0788
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[4,] 0.3090061 -175.9446 -181.1490
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[5,] 0.4645720 -173.7590 -181.0775
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[6,] 0.4736210 -173.6431 -181.0773
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$c.loglik
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[1] -181.0773
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>
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> rfit1 <- coxph(Surv(time,status) ~ rx + frailty(litter, theta=1), rats,
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+ method='breslow', subset=(sex=="f"))
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> rfit1
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Call:
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coxph(formula = Surv(time, status) ~ rx + frailty(litter, theta = 1),
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data = rats, subset = (sex == "f"), method = "breslow")
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coef se(coef) se2 Chisq DF p
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rx 0.918 0.327 0.321 7.851 1.0 0.0051
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frailty(litter, theta = 1 27.245 22.7 0.2324
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Iterations: 1 outer, 6 Newton-Raphson
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Variance of random effect= 1 I-likelihood = -181.5
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Degrees of freedom for terms= 1.0 22.7
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Likelihood ratio test=50.7 on 23.7 df, p=0.001
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n= 150, number of events= 40
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>
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> rfit2 <- coxph(Surv(time,status) ~ frailty(litter), rats, subset=(sex=='f'))
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> rfit2
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Call:
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coxph(formula = Surv(time, status) ~ frailty(litter), data = rats,
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subset = (sex == "f"))
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coef se(coef) se2 Chisq DF p
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frailty(litter) 18 14.6 0.24
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Iterations: 6 outer, 22 Newton-Raphson
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Variance of random effect= 0.504 I-likelihood = -184.8
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Degrees of freedom for terms= 14.6
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Likelihood ratio test=30 on 14.6 df, p=0.01
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n= 150, number of events= 40
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>
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> proc.time()
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user system elapsed
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0.755 0.045 0.793
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