psm4_exdata: Example data for a 4-state partitioned survival model
In hesim-dev/hesim: Health Economic Simulation Modeling and Decision Analysis
psm4_exdata R Documentation
Example data for a 4-state partitioned survival model
Description
A collection of example datasets containing simulated survival, costs, and utility data for a 4-state
partitioned survival model.
Usage
psm4_exdata
Format
A list containing the following elements:
- Survival
A data frame containing patient information and time to 3 separate survival endpoints.
- Costs
A list of data frames. The first data frame contains medical cost data and the
second data frame contains drug cost data.
Survival data
The survival data frame contains a list of 3 survival curves, each containing the following columns.
- female
An indicator variable equal to 1 if the patient is female and 0 otherwise.
- age
The age of the patient in years.
- strategy_id
The id of the treatment strategy used.
- endpoint1_time
Follow up time with right censored data to survival endpoint 1.
- endpoint1_status
A status indicator for survival endpoint 1 equal to 0 if alive and 1 if dead.
- endpoint2_time
Follow up time with right censored data to survival endpoint 2.
- endpoint2_status
A status indicator for survival endpoint 2 equal to 0 if alive and 1 if dead.
- endpoint3_time
Follow up time with right censored data to survival endpoint 3.
- endpoint3_status
A status indicator for survival endpoint 3 equal to 0 if alive and 1 if dead.
Cost data
The cost list contains two data frames.The first data frame contains data on the
medical costs by patient and health state, and contains the following columns:
- patient_id
An integer denoting the id of the patient.
- female
An indicator variable equal to 1 if the patient is female and 0 otherwise.
- state_name
A categorical variable denoting the three possible health states.
- costs
Annualized medical costs.
The second data frame contains data on the drug costs associated with each treatment strategy.
- strategy_id
The id of each treatment strategy.
- costs
Annualized drug costs.
hesim-dev/hesim documentation built on Feb. 14, 2024, 1:18 a.m.
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| psm4_exdata | R Documentation |
Example data for a 4-state partitioned survival model
Description
A collection of example datasets containing simulated survival, costs, and utility data for a 4-state partitioned survival model.
Usage
psm4_exdata
Format
A list containing the following elements:
- Survival
A data frame containing patient information and time to 3 separate survival endpoints.
- Costs
A list of data frames. The first data frame contains medical cost data and the second data frame contains drug cost data.
Survival data
The survival data frame contains a list of 3 survival curves, each containing the following columns.
- female
An indicator variable equal to 1 if the patient is female and 0 otherwise.
- age
The age of the patient in years.
- strategy_id
The id of the treatment strategy used.
- endpoint1_time
Follow up time with right censored data to survival endpoint 1.
- endpoint1_status
A status indicator for survival endpoint 1 equal to 0 if alive and 1 if dead.
- endpoint2_time
Follow up time with right censored data to survival endpoint 2.
- endpoint2_status
A status indicator for survival endpoint 2 equal to 0 if alive and 1 if dead.
- endpoint3_time
Follow up time with right censored data to survival endpoint 3.
- endpoint3_status
A status indicator for survival endpoint 3 equal to 0 if alive and 1 if dead.
Cost data
The cost list contains two data frames.The first data frame contains data on the medical costs by patient and health state, and contains the following columns:
- patient_id
An integer denoting the id of the patient.
- female
An indicator variable equal to 1 if the patient is female and 0 otherwise.
- state_name
A categorical variable denoting the three possible health states.
- costs
Annualized medical costs.
The second data frame contains data on the drug costs associated with each treatment strategy.
- strategy_id
The id of each treatment strategy.
- costs
Annualized drug costs.
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