Dear friends:
I'm interested to make a stacked plot of cumulative incidence. that's,
the cuminc model is fitted [fit=cuminc(time, relapse)] and cumulative incidence
is in place. I'd like to stack the cuminc plots(line 1: relapse of luekemia and
line 2: treatment related mortality, for
Dear friends:
I’m very interested in the analysis of survival data of leukemic patients,
which involves competing risks and time-dependent covariates (infections or
relapse of leukemia after BMT). In my present work, I’d like to estimate the
risk of chemotherapy, BMT or gvhd on the onset and
Dear friends:
I'm interested to make a stacked plot of cumulative incidence. that's,
the cuminc model is fitted [fit=cuminc(time, relapse)] and cumulative incidence
is in place. I'd like to stack the cuminc plots (relapse of luekemia and death
free from leukemia, for example) , then
Dear friends:
I’m very interested in the analysis of survival data of leukemic patients,
which involves competing risks and time-dependent covariates (infections or
relapse of leukemia after BMT). In my present work, I’d like to estimate the
risk of chemotherapy, BMT or gvhd on the onset and
Dear friends:
I’m very interested in the analysis of survival data of leukemic patients,
which involves competing risks and time-dependent covariates (infections or
relapse of leukemia after BMT). In my present work, I’d like to estimate the
risk of chemotherapy, BMT or gvhd on the onset and
Dear friends:
I have just read an article entitled Monitoring of nosocomial invasive
aspergillosis and early evidence of an outbreak using cumulative sum tests
(CUSUM), which is published in Clinical Microbiology and Infection. We have
great need to estimate the fluctuation of incidence of
Dear R users:
In my recent works, I compared the cumulative incidences among three
different treatment groups. The cuminc function (cmprsk package ) yielded a
graph (refer to figure 1) and a p value (p = 0.0007). I don’t know how to
interpret the meaning of the p value ( one p value and
Dear R users:
In my recent works, I compared the cumulative incidences among three
different treatment groups. The cuminc function (cmprsk package ) yielded a
graph (refer to figure 1) and a p value (p = 0.0007). I don’t know how to
interpret the meaning of the p value ( one p value and
Dear R users:
In the example of meta-analysis (cochrane, package rmeta), I can not found the
p-value of Test for overall effect, and some other indices (Z, I, weight and et
al). How can I get the these indices listed?
library(rmeta)
data(cochrane)
cochrane
name ev.trt n.trt
Dear R users:
Analysis of the impact of a time-dependent covariate (GVHD or use of
steroid after bone marrow transplantation) on two competing endpoints (invasive
fungal infection and death) is frequently encountered in the setting of BMT
data. Coxph package can be used as the following:
Dear R users:
Analysis of the impact of a time-dependent covariate (GVHD or use of
steroid after bone marrow transplantation) on two competing endpoints (invasive
fungal infection and death) is frequently encountered in the setting of BMT
data. Coxph package can be used as the following:
Dear R users:
Analysis of the impact of a time-dependent covariate (GVHD or use of
steroid after bone marrow transplantation) on two competing endpoints (invasive
fungal infection and death) is frequently encountered in the setting of BMT
data. Coxph package can be used as the following:
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