Description Usage Arguments Value

View source: R/calculate_MDE_continuous_variable.R

Calculate the minimal detectable effect (Hazard Ratio) given an observed number of events for a continuous variable (based on Schoenfeld's formula) Reference: "Sample-Size Calculations for the Cox Proportional Hazards Regression Model with Nonbinary Covariates" by F.Y. Hsieh, PhD, and Philip W. Lavori, PhD (2000)

1 | ```
calculate_MDE_biomarker(number_of_events, alpha = 0.05, sd = 1)
``` |

`number_of_events` |
Number of events |

`alpha` |
1-sided alpha (Type I error) |

`sd` |
Standarad deviation of the continuous covariate (default is 1 assuming the continuous marker is standardized) |

Minimal detectable effect

th-zelniker/TIMI documentation built on Oct. 17, 2018, 2:21 a.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.