fit_naive_pooled: Naive pooled Cox analysis
In fdb: Frequentist Dynamic Borrowing for Hybrid-Control Survival Trials
fit_naive_pooled R Documentation
Naive pooled Cox analysis
Description
Fits a Cox proportional hazards model treating concurrent and
external controls as exchangeable (full pooling), without any
indicator for external-control membership.
Usage
fit_naive_pooled(dat, xnames = NULL, robust = FALSE)
Arguments
dat
A data frame from simulate_hybrid_cox or
conforming to its column conventions.
xnames
Character vector of covariate names. If NULL,
automatically detected as columns matching "^X\d+$".
robust
Use robust (Lin-Wei) Cox standard errors.
Value
A list of estimates and inference quantities.
fdb documentation built on Oct. 4, 2026, 5:07 p.m.
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| fit_naive_pooled | R Documentation |
Naive pooled Cox analysis
Description
Fits a Cox proportional hazards model treating concurrent and external controls as exchangeable (full pooling), without any indicator for external-control membership.
Usage
fit_naive_pooled(dat, xnames = NULL, robust = FALSE)
Arguments
dat |
A data frame from |
xnames |
Character vector of covariate names. If |
robust |
Use robust (Lin-Wei) Cox standard errors. |
Value
A list of estimates and inference quantities.
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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