Semiparametric inference for the recurrent events process by means of a single-index model

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Assessing model prediction performance for the expected cumulative number of recurrent events

Cites Work

Conditional density estimation in a censored single-index regression model
Cox's regression model for counting processes: A large sample study
Accelerated rates regression models for recurrent failure time data
Single-index regression models with right-censored responses
Large sample behaviour of the product-limit estimator on the whole line
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On semiparametric \(M\)-estimation in single-index regression
Non-parametric Tests for Recurrent Events under Competing Risks
Semiparametric Analysis of Recurrent Events Data in the Presence of Dependent Censoring
Semiparametric Analysis for Recurrent Event Data with Time-Dependent Covariates and Informative Censoring
Linear Models, Random Censoring and Synthetic Data
Accelerated failure time models for counting processes
Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data
An Adaptive Estimation of Dimension Reduction Space
Nonparametric Analysis of Recurrent Events and Death
Semiparametric Estimation of Index Coefficients
Uniform Representation of Product‐Limit Integrals with Applications

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