Hello,
I am trying to calculate the expected mean for progression free survival data for Gamma model, However, the following error keep resulting:
mean_gamma(shape = 1.497, scale=0.80*0.4268)
Error in mean_gamma(shape = 1.497, scale = 0.8 * 0.4268) : unused argument (scale = 0.8 * 0.4268)
cant understand what went wrong?
What information did you look at that prompted you to include scale = in the function call?
Thanks for your response
I need to calculate mean survival for gamma model.
Thank you
I dont think you understood my question but I'm not sure how to ask it differently.
Can you say what package/Library the function belongs to ?
library(flexsurv)
I am doing a Parametric modelling using flexsurv.
Thank you
https://www.rdocumentation.org/packages/flexsurv/versions/2.0/topics/mean_exp
The Mean gamma function there has no scale parameter. It has shape and rate.
yh I found this, but then how to distinguish between 2 treatment groups, as I ran the code for Weibull model as follow:
calculate mean survival for each arm
gp0
mean_weibullPH(shape = 1.497, scale=0.113)
gp1, for the weibullPH the scale is multiplied by HR
mean_weibullPH(shape = 1.497, scale=0.74*0.113)
so if there is no scale in gamma model, how to calculate mean survival for gp 1?
Thank you
I suppose I would follow this and have rate be inverse scale.
SARAH1
9
Is this what you mean ?
group 0 (placebo. standard treatment):
mean_gamma(shape = 1.44, rate=1/1.44)
if yes.. how about group 1 ( new treatment)?
Thank you so much and appreciate your time
SARAH1
10
Does this what you mean ?
#group 0 (placebo. standard treatment):
mean_gamma(shape = 1.74, rate=1) #1.74
# group 1 ( new treatment)
mean_gamma(shape = 1.74, rate=1/1.74) # 3.0276
is this a correct use of codes ?
system
Closed
11
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