A collection of example datasets containing simulated survival, costs, and utility data for a 4-state partitioned survival model.

psm4_exdata

Format

A list containing the following elements:

  • Survival A data frame containing patient information and time to 3 separate survival endpoints.

  • CostsA 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.