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Table 1 Functionality of the INES tool

From: INES: Interactive tool for construction and extrapolation of partitioned survival models

Function

Description

Reference to method or source of R code

Derive the IPD

Derives from the published Kaplan Meier survival curves a close approximation to the original individual patient time-to-event data (IPD) for OS and PFS for 2 treatment groups

IPDfromKM

Estimate parametric survival curve in control group

Allow the user to choose from a menu of parametric survival functions fitted to the IPD for PFS and OS in the control group

flexsurvreg

Model fit: AIC

Calculate the AIC for the fit of the data to the parametric model in the control group (PFS and OS)

flexsurvreg

HR

Calculate the hazard ratios between treatment groups, assuming proportional hazards (PFS and OS)

coxph

HR

Perform a test of proportional hazards (PFS and OS)

cox.zph

Parametric survival curve in intervention group

Estimate the parametric survival curves in the intervention group by applying the hazard ratio to the respective control group survival curve (PFS and OS). The user is given the option either to use published HR or the HR calculated by the package

Heemod:: apply_hr

Model fit: Visual

Allow the user to visually inspect each parametric survival curve extrapolated over the chosen time horizon, and compare to the observed data (Kaplan Meier survival curve) (PFS and OS in each treatment group)

ggplot2

Costs

Allow the user to specify the unit costs of medicines and other resources and the number of units employed per day, week or month, in each treatment group during the progression-free and post-progression states

heemod:: create_parameters_

from_tabular

Utility

Allow the user to specify the utility weights in each treatment group during the progression-free state, and a single utility weight during post-progression. The model will calculate life years if the utility weights are set to 1

heemod:: create_parameters_

from_tabular

Discount rate

Apply chosen discount rate to costs and effects (equally)

Heemod:: discount

PSM

Calculate the PSM in each treatment group over the specified time horizon

Heemod::run_model

Sensitivity analysis

Allow user to specify the parameters for univariate sensitivity analysis within a range

Heemod::run_dsa

Results: graphical

Allow user to visualise and download graphs of state membership (PFS, PPS, death) over time in each treatment group

plot, panels = by_state

Results: table

Show undiscounted and discounted mean costs and effects in each treatment group and the incremental cost-effectiveness ratio

 

Sensitivity analysis results: graphical

Allow user to visualise and download a tornado chart of the sensitivity analysis

ggplot2

  1. IPD individual patient data. OS overall survival. PFS progression free survival. PPS Post progression survival. AIC Akaike Information Criterion. HR hazard ratio. PSM partitioned survival model