Note that the first set of coefficients minus the second set of coefficients
is constant (12.78262)
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Hi,
I calculated the linear predictors derived from weibull model using ovarian
data sets. I calculated the linear predictors as the sum of covariates weighted
by the weibull coefficients and compared to the linear predictors generated by
survreg function. Why are they different? note that the f
2 matches
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