surgerydat: Data of surgery procedures performed at multiple hospitals...

In cgrcusum: Continuous Time Generalized Rapid Response CUSUM

Description

Data about patients and their surgery procedure from 30 simulated hospitals with patient arrivals in the first 400 days after the start of the study.
Patient failure times are exponentially distributed with exponential hazard rate h_0(t, λ) exp(μ). Some hospitals have an increased failure rate:

• Hospitals 1-15: exp(μ) = 1

• Hospitals 16-30: exp(μ) = 2

which means that the hazard rate at hospitals 16-30 is twice higher than exponential(λ).
The arrival rate ψ of patients at a hospital differs. The arrival rates are:

• Hospitals 1-5 & 16-20: 0.5 patients per day

• Hospitals 6-10 & 21-25: 1 patient per day

• Hospitals 11-15 & 26-30: 1.5 patients per day

These are then respectively small, medium and large hospitals.

Usage

surgerydat

Format

A data.frame with 12010 rows and 9 variables:

entrytime

numeric Time of entry of patient into study

survtime

numeric Time from entry until failure of patient

censorid

integer Censoring indicator (0 - right censored, 1 - observed)

Hosp_num

integer Hospital number at which patient received treatment

expmu

numeric True excess hazard used for generating patient survival

psival

numeric Poisson arrival rate at hospital which the patient was at

age

numeric Age of the patient

sex

factor Sex of the patient

BMI

numeric Body mass index of the patient

cgrcusum documentation built on Nov. 22, 2021, 9:09 a.m.