| multinom3_exdata {hesim} | R Documentation |
Example data for a 3-state multinomial model
Description
Example discrete time health state transitions data simulated using multinomial logistic regression. Costs and utility are also included to facilitate cost-effectiveness analysis.
Usage
multinom3_exdata
Format
A list containing the following elements:
- transitions
A data frame containing patient transitions between health states at discrete time intervals (i.e., on a yearly basis).
- costs
A list of data frames. The first data frame contains drug cost data and the second contains summary medical cost estimates.
- utility
A data frame of summary utility estimates.
Transitions data
The data frame has the following columns:
- patient_id
Patient identification number.
- strategy_id
Treatment strategy identification number.
- strategy_name
Treatment strategy name.
- age
Patient age (in years).
- age_cat
A factor variable with 3 age groups: (i) age less than 40, (ii) age at least 40 and less than 60, and (iii) age at least 60.
- female
1 if a patient is female; 0 if male.
- year
The year since the start of data collection with the first year equal to 1.
- state_from
State making a transition from.
- state_to
State making a transition to.
- year_cat
Factor variable for year with 3 categories: (i) year 3 and below, (ii) year between 3 and 6, and (iii) year 7 and above.
Cost data
The cost list contains two data frames. The first data frame contains data on the drug costs associated with each treatment strategy.
- strategy_id
The treatment strategy identification number.
- strategy_name
The treatment strategy name.
- costs
Annualized drug costs.
The second data frame contains summary data on medical costs by health state, and contains the following columns:
- state_id
The health state identification number.
- state_name
The name of the health state.
- mean
Mean medical costs.
- se
Standard error of medical costs.
Utility data
The data frame has the following columns:
- state_id
The health state identification number.
- state_name
The name of the health state.
- mean
Mean utility
- se
Standard error of utility.