Description Usage Arguments Details Value References Examples
This function calculates the mean cost for right-censored cost data over a period of L time units (days, months, years,...)
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x |
A dataframe with columns: id, cost, delta and surv. If Cost history is available it can be specified by: start and stop, |
L |
Limit. Mean cost is calculated up till L, if not specified L = max(surv) |
addInterPol |
This parameter affects the interpolation of cost between two observed times. Defaults to zero. |
The function returns four estimates. The first two are simple and biased downwards, and included for comparison. The estimates are:
- AS: "Available Sample estimator" - The simple sample mean
- CC: "Complete Case estimator" - The mean of fully observed cases
- BT: "Weighted Complete Case estimator" - Bang and Tsiatis's estimator
- ZT: "Weighted Available estimator" - Zhao and Tian's estimator
The function needs the following in a dataframe:
- id: The id separating each individual
- cost: The total cost, or if start and stop provided the specific cost
- start: Start of cost
- stop: End of cost, if one time cost then start = stop
- delta: Event variable, 1 = event, 0 = no event
- surv: Survival
An object of class "ccobject".
Bang2000ccostr
\insertRefZhao2001ccostr
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