ci_cox: Confidence interval for Cox model estimate
In weightedsurv: Survival Analysis with Subject-Specific (Case Weights) and Time-Dependent Weighting
ci_cox R Documentation
Confidence interval for Cox model estimate
Description
Calculates the confidence interval for a Cox model log hazard ratio estimate.
Usage
ci_cox(bhat, sig_bhat, alpha = 0.05, verbose = FALSE)
Arguments
bhat
Estimated log hazard ratio.
sig_bhat
Standard error of the estimate.
alpha
Significance level (default: 0.05).
verbose
Logical; if TRUE, prints interval.
Value
Data frame with log hazard ratio, standard error, hazard ratio, lower and upper confidence limits.
weightedsurv documentation built on Dec. 23, 2025, 1:07 a.m.
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| ci_cox | R Documentation |
Confidence interval for Cox model estimate
Description
Calculates the confidence interval for a Cox model log hazard ratio estimate.
Usage
ci_cox(bhat, sig_bhat, alpha = 0.05, verbose = FALSE)
Arguments
bhat |
Estimated log hazard ratio. |
sig_bhat |
Standard error of the estimate. |
alpha |
Significance level (default: 0.05). |
verbose |
Logical; if TRUE, prints interval. |
Value
Data frame with log hazard ratio, standard error, hazard ratio, lower and upper confidence limits.
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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