KMSubtractionMatch: Match patients between subgroup and an overall cohorts.

In josephjzhao/KMSubtraction: Reconstruction of unreported subgroup survival data utilizing published Kaplan-Meier survival curves

Description

This function conducts matching of patients between subgroup and an overall cohort.

Usage

KMSubtractionMatch(df_overall, df_subgroup, matching = "bipartite")

Arguments

df_overall	Dataframe of the overall cohort containing time-to-event data. Prepared with columns "time" and "status".
df_subgroup	Dataframe of the subgroup cohort containing time-to-event data. Prepared with columns "time" and "status".
matching	Choice of matching algorithm. The default matching algorithm is the minimum cost bipartite matching with the Hungarian algorithm ("bipartite"), users may choose to use Mahalanobis distance matching ("maha") or nearest neighbor matching with distances determined by logistic regression ("logit").

Examples

data(cancer)
df_overall=colon
df_subgroup=colon[1:200,]
KMSubtractionMatch(df_overall, df_subgroup, matching="bipartite")

josephjzhao/KMSubtraction documentation built on Jan. 25, 2022, 6:35 p.m.