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intccr (version 3.0.4)

Semiparametric Competing Risks Regression under Interval Censoring

Description

Semiparametric regression models on the cumulative incidence function for interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) /doi{10.1002/sim.7350} and the models with missing event types as described in Park, Bakoyannis, Zhang, & Yiannoutsos (2021) \doi{10.1093/biostatistics/kxaa052}. The proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.

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Version

Install

install.packages('intccr')

Monthly Downloads

313

Version

3.0.4

License

GPL (>= 2)

Maintainer

Jun Park

Last Published

May 10th, 2022

Functions in intccr (3.0.4)

ciregic

Competing Risks Regression with Interval-Censored Data
ciregic_aipw

Competing Risks Regression with Interval-Censored Data and Missing Cause of Failure
vcov.ciregic_aipw

Variance-covariance matrix of ciregic_aipw
vcov.ciregic

Variance-covariance matrix of ciregic
simdata_lt

Simulated left-truncated and interval-censored competing risks data with 2 covariates - wide format
summary.ciregic

Summary of ciregic
waldtest

Wald test for ciregic and ciregic_lt
ciregic_lt

Competing Risks Regression with Left-truncated and Interval-Censored Data
predict.dbs

Prediction of derivative of B-spline
fit_lt

Output of ciregic_lt
dbs

Derivative of B-spline
pseudo.HIV.long

Artificial HIV dataset
predict.ciregic_aipw

Covariate-Specific Cumulative Incidence Prediction
bs.derivs

Derivative of B-spline
Surv2

Creating data frame
longdata

Simulated interval-censored competing risks data - long format
predict.ciregic_lt

Covariate-Specific Cumulative Incidence Prediction
vcov.summary.ciregic

Variance-covariance matrix of summary.ciregic
fit

Output of ciregic
vcov.ciregic_lt

Variance-covariance matrix of ciregic_lt
simdata

Simulated interval-censored competing risks data with 2 covariates - wide format
dataprep

Data manipulation
dataprep_lt

Data preparation
simdata_aipw

Simulated interval censored data with 2 covariates in the presence of \(50\%\) of missing cause of failure - wide format
summary.ciregic_lt

Summary of ciregic_lt
summary.ciregic_aipw

Summary of ciregic_aipw
naive_b

Initial values for the sieve maximum likelihood estimation
longdata_lt

Simulated left-truncated and interval-censored competing risks data - long format
vcov.summary.ciregic_aipw

Variance-covariance matrix of summary.ciregic_aipw
predict.ciregic

Covariate-Specific Cumulative Incidence Prediction
vcov.summary.ciregic_lt

Variance-covariance matrix of summary.ciregic_lt
bssmle_lt

B-spline Sieve Maximum Likelihood Estimation for Left-Truncated and Interval-Censored Competing Risks Data
bssmle_lse

Least-Squares Estimator of the Information Matrix
bssmle_se_aipw

Bootstrap varince-covariance estimation for interval-censored competing risks data and missing cause of failure
bssmle_se

Bootstrap varince-covariance estimation
bssmle

B-spline Sieve Maximum Likelihood Estimation
bssmle_lse_lt

Least-Squares Estimator of the Information Matrix
fit_aipw

Output of ciregic_aipw
bssmle_aipw

B-spline Sieve Maximum Likelihood Estimation for Interval-Censored Competing Risks Data and Missing Cause of Failure