JS.multi_fdr: A output table for multivariable survival analysis
In SophiaJia/Jsurvformat: Survival analysis output format for clinical research
Description
Usage
Arguments
Value
Examples
Description
JS.multi output the table with general multivariable survival analysis result with HR (95% Confidence Interval),P value
Usage
1
Arguments
...
arguments will be passed to coxph
Value
A dataframe of coxph output including Variable names, HRs (95% Confidence Intervals), P values
Examples
1
JS.multi (Surv(as.numeric(pd_surv), pd_censor) ~ as.factor(tr_group) + as.factor(BMI_c) + BMI, data = D)
SophiaJia/Jsurvformat documentation built on May 9, 2019, 1:52 p.m.
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Description Usage Arguments Value Examples
Description
JS.multi output the table with general multivariable survival analysis result with HR (95% Confidence Interval),P value
Usage
1 |
Arguments
... |
arguments will be passed to coxph |
Value
A dataframe of coxph output including Variable names, HRs (95% Confidence Intervals), P values
Examples
1 | JS.multi (Surv(as.numeric(pd_surv), pd_censor) ~ as.factor(tr_group) + as.factor(BMI_c) + BMI, data = D)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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