censoring_km_score_correction: Censoring-estimation correction to left-limit IPCW regression...
In cifmodeling: Visualization and Polytomous Modeling of Survival and Competing Risks
censoring_km_score_correction R Documentation
Censoring-estimation correction to left-limit IPCW regression scores
Description
Returns q_i such that IF_beta_i = n H^-1 (s_i - mean(s) + q_i).
Uses the same source cohort as KM, with unit sampling weights. The supplied
scores already contain IPCW, including zero scores for unknown outcomes.
This product-limit derivative includes the (1-h) factor at tied jumps.
No n-by-n influence matrix is constructed: time-grouped score sums and
cumulative risk contributions give O(n log n + np) work and O(np) storage.
Usage
censoring_km_score_correction(
object,
t,
epsilon,
strata,
evaluation.time,
score
)
cifmodeling documentation built on Nov. 11, 2026, 9:06 a.m.
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| censoring_km_score_correction | R Documentation |
Censoring-estimation correction to left-limit IPCW regression scores
Description
Returns q_i such that IF_beta_i = n H^-1 (s_i - mean(s) + q_i). Uses the same source cohort as KM, with unit sampling weights. The supplied scores already contain IPCW, including zero scores for unknown outcomes. This product-limit derivative includes the (1-h) factor at tied jumps. No n-by-n influence matrix is constructed: time-grouped score sums and cumulative risk contributions give O(n log n + np) work and O(np) storage.
Usage
censoring_km_score_correction(
object,
t,
epsilon,
strata,
evaluation.time,
score
)
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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