# Regression modeling of subdistribution functions using Kaplan-Meier weight.

### Description

Fits a subdistribution hazards regression model using the Kaplan-Meier weight. This is the same model as Fine and Gray (1999).

### Usage

1 |

### Arguments

`t` |
a vector of observed times. |

`ic` |
a vector of cause indicators. |

`z` |
a matrix of covariates for fitting the model. |

`variance` |
Includes variance calculation if TRUE, Skips variance calculation if FALSE. |

`var.conservative` |
Includes minor term of variance of beta if FALSE, no minor term for variance of beta if TRUE. |

### Details

More details are given in the reference.

### Value

a "crrwt" class object.

### Author(s)

Peng He

### References

He P, Scheike TH and Zhang MJ, A proportional hazards regression model for the subdistribution with covariates adjusted censoring weight for competing risks data, Technical Report #61, Division of Biostatistics, Medical College of Wisconsin, November 2013.

Fine JP and Gray RJ (1999), A proportional hazards model for the subdistribution of a competing risk. Journal of The American Statistical Association 94, 496-509.