Dogs_MimicData: Dogs_MimicData data set

In CureDepCens: Dependent Censoring Regression Models with Cure Fraction

Dogs_MimicData data set

Description

A simulated data frame with 800 dogs. Simulated dataset that mimic a free-ranging dogs result study. In this simulated dataset it is hypothetically suggested the following causes of outcome: event of interest: death due to natural causes; dependent censoring: age until adopted or death due to human causes; administrative censoring: all other outcomes. More details about the dog study can be found at Paul et al. (2016).

Format

A data frame with 800 rows and 13 variables:

• u: auxiliary variable, with Uniform distribution.

• v: auxiliary variable, with Uniform distribution.

• t: variable that represents the failure time.

• c: variable that represents the dependent censoring time.

• time: time observed until the occurrence of the outcome, min(t,c).

• event: variable that indicates the occurrence of the event of interest, event=1 if the event of interest occurs.

• int: auxiliary variable to generate the intercept.

• x1_cure: covariate 1, generated from a Binomial distribution. Can denote, for example, a binary result.

• x2_cure: covariate 2, generated from a Normal distribution. Can denote, for example, a exam result or an standardized age.

• x_c1: covariate 3, generated from a Normal distribution. Can denote, for example, an standardized age.

• x_c2: covariate 4, generated from a Binomial distribution. can denote, for example, an treatment result.

• cens: variable that indicates the outcome, cens=1 if the event of interest occurred (death due to natural causes); cens=2 if the dependent censoring occurred (age until adopted or death due to human causes); cens=3 if administrative censoring.

• ident: Variable that indicates the litter or cluster.

CureDepCens documentation built on July 9, 2023, 6:46 p.m.