Nothing
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res
Output
[1] "SEX" "AGE" "RACE"
attr(,"varname")
[1] "c(\"SEX\", \"AGE\", \"RACE\")"
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res2
Output
Call:
lm(formula = SEX ~ univariate(ARM), data = tern_ex_adsl)
Coefficients:
(Intercept) univariate(ARM)B: Placebo
1.4492754 0.0027794
univariate(ARM)C: Combination
-0.0009995
Code
res
Output
[1] "+" "m * x" "b"
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res
Output
coef se(coef) hr lcl ucl
ARMCD/SEXM 0 0 1 1 1
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res
Output
[1] "Estimations of ARMCD hazard ratio given the level of SEX compared to ARMCD level ARM A."
Code
res
Output
[1] 1.0000000 1.0000000 0.9678110 0.3970066 0.3252267 0.5286392
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res
Output
NULL
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res
Output
Analysis of Deviance Table (Type III tests)
Response: survival::Surv(time = AVAL, event = 1 - CNSR)
Df Chisq Pr(>Chisq)
ARMCD 2 1.1569 0.5608
RACE 2 1.7917 0.4083
AGE 1 0.0108 0.9174
ARMCD:RACE 4 3.1853 0.5273
ARMCD:AGE 2 1.1363 0.5666
RACE:AGE 2 1.1686 0.5575
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