Synthetic.1-data: Synthetic Dataset #1: p < n case


Dataset from simulated regression survival model #1 as described in Dazard et al. (2015). Here, the regression function uses all of the predictors, which are also part of the design matrix. Survival time was generated from an exponential model with rate parameter λ (and mean \frac{1}{λ}) according to a Cox-PH model with hazard exp(eta), where eta(.) is the regression function. Censoring indicator were generated from a uniform distribution on [0, 3]. In this synthetic example, all covariates are continuous, i.i.d. from a multivariate uniform distribution on [0, 1].




Each dataset consists of a numeric matrix containing n=250 observations (samples) by rows and p=3 variables by columns, not including the censoring indicator and (censored) time-to-event variables. It comes as a compressed Rda data file.


Maintainer: "Jean-Eudes Dazard, Ph.D."

Acknowledgments: This project was partially funded by the National Institutes of Health NIH - National Cancer Institute (R01-CA160593) to J-E. Dazard and J.S. Rao.


See simulated survival model #1 in Dazard et al., 2015.


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