make_data_multi_state: make_data_multi_state

In survHE: Survival Analysis in Health Economic Evaluation

make_data_multi_state

Description

Takes as input an individual-level dataset including data on both progression and death time (jointly) and manipulates it using dplyr functions to create a full "multi-state" dataset, in which all the transitions are tracked. This can then be used to fit survival models and compute all the estimates for the whole set of transition probabilities

Usage

make_data_multi_state(
  data,
  id = "id",
  prog = "prog",
  death = "death",
  prog_t = "prog_t",
  death_t = "death_t",
  keep = NULL,
  ...
)

Arguments

data	dataset containing the full ILD with information on both progression and death. Can be a data.frame or a tibble
id	The column with the individual identifier. Can be NULL (in which case, it will be created from scratch)
prog	The progression indicator: takes value 1 if the individual has progressed and 0 otherwise. Defaults to the column named 'prog' in the dataset
death	The death indicator: takes value 1 if the individual has died and 0 otherwise. Defaults to the column named 'death' in the dataset
prog_t	The progression time. Defaults to the column named 'prog_t' in the dataset
death_t	The death time. Defaults to the column named 'death_t' in the dataset
keep	A vector of strings with the names of the additional variables from the original dataset to keep into the multistate dataset. If 'NULL' (default), then keeps all
...	additional arguments.

Value

A tibble containing the event history for each individual and with the following variables: id = Patients ID; from = Initial state (1=Pre-progression, 2=Progression, 3=Death); to = End state (1=Pre-progression, 2=Progression, 3=Death); trans = Transition ID: 1=Pre-progression -> Progression; 2=Pre-Progression -> Death; 3=Progression -> Death; Tstart = Entry time (either entry or progression); Tstop = Exit time (time of event or censoring time); status = Event indicator (1=yes, 0=censored), for the specific event under consideration; treat = Treatment indicator All the other original variables are appended to these, but can be removed

Note

Something will go here

Author(s)

Gianluca Baio

References

Something will go here

See Also

Something will go here

Examples

## Not run: 
# Something will go here

## End(Not run)

survHE documentation built on March 31, 2023, 11:37 p.m.