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psc (version 1.2.0)

surv.mod: Example model for a survival outcome

Description

A generated model with a survival endpoint and a cuymulative hazard function estimated using flexible parametric splines. Data for the model were synthetically generated and are based on a dataset to evaulate the use of Sorafenib in HCC akin to the PROSASH model

Usage

surv.mod

Arguments

Format

A model of class 'flezsurvreg':

gamma

cumulative baseline hazard parameters

vi

vascular invasion

age60

patient age (centred at 60)

ecog

ECOG performance Status

logafp

AFP - log scale

alb

albumin

logcreat

Creatinine - log scale

allmets

metastesis

ageVasInv

centred age nested within vascular invasion

time

survival time

cen

censoring indicator

os

survival time

count

exapmple outcome for count data

trt

exapmple identifier for mulitple treatment comparisons

aet

Aetiology

References

Using prognostic and predictive clinical features to make personalised survival prediction in advanced hepatocellular carcinoma patients undergoing sorafenib treatment. Berhane S, et al., Br J Cancer. 2019 Jul;121(2):117-124