Description Usage Arguments Details Value See Also Examples
Sub-group analysis table for Cox/svycox model.
1 2 3 4 5 6 7 8 9 10 | TableSubgroupCox(
formula,
var_subgroup = NULL,
var_cov = NULL,
data,
time_eventrate = 3 * 365,
decimal.hr = 2,
decimal.percent = 1,
decimal.pvalue = 3
)
|
formula |
formula with survival analysis. |
var_subgroup |
1 sub-group variable for analysis, Default: NULL |
var_cov |
Variables for additional adjust, Default: NULL |
data |
Data or svydesign in survey package. |
time_eventrate |
Time for kaplan-meier based event rate calculation, Default = 365 * 3 |
decimal.hr |
Decimal for hazard ratio, Default: 2 |
decimal.percent |
Decimal for percent, Default: 1 |
decimal.pvalue |
Decimal for pvalue, Default: 3 |
This result is used to make forestplot.
Sub-group analysis table.
safely
,map
,map2
coxph
svycoxph
confint
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | library(survival);library(dplyr)
lung %>%
mutate(status = as.integer(status == 1),
sex = factor(sex),
kk = factor(as.integer(pat.karno >= 70))) -> lung
TableSubgroupCox(Surv(time, status) ~ sex, data = lung, time_eventrate = 100)
TableSubgroupCox(Surv(time, status) ~ sex, var_subgroup = "kk", data = lung,
time_eventrate = 100)
## survey design
library(survey)
data.design <- svydesign(id = ~1, data = lung)
TableSubgroupCox(Surv(time, status) ~ sex, data = data.design, time_eventrate = 100)
TableSubgroupCox(Surv(time, status) ~ sex, var_subgroup = "kk", data = data.design,
time_eventrate = 100)
|
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