Run your first analysis

Create a project and pick a starting point

Sign in at the app (app.easyhta.com). Then open the Projects page, click + New Project, give it a name, and pick a Starting point:

• Partitioned survival: three-state PSM (progression-free, progressed, dead) with state occupancy derived from PFS/OS curves.
• Partitioned survival with cure model: three-state PSM with cure-model extrapolation for therapies with long-term responders.
• Budget Impact Analysis: estimate the budget impact of introducing a new treatment versus continuing current standard of care. Requires Analyst Pro.

For either survival starting point, click Run Demo to load a worked example instead of your own data, or use Run the example analysis on the Projects page when you have no projects yet (this always loads Partitioned survival).

Upload your curve and reconstruct IPD

On the project’s Data input step, drop your digitized KM CSV onto the upload zone (or click to browse) and enter the at-risk numbers and time step alongside it.

The CSV needs just two columns: time and survival (survival as a probability between 0 and 1). A header row only needs to contain the words “time” and “survival” (case-insensitive), so column order doesn’t matter and descriptive names like Time (months) are fine; a file with no header row is also accepted, with columns identified from their values. Any further column is rejected rather than ignored, so keep the file to just those two. For how to digitize and format this file well, see Preparing KM coordinates.

Click Reconstruct IPD. EasyHTA reconstructs patient-level data using the Guyot algorithm and fits all seven parametric distributions in the same step.

On Validation, check the overlay comparing the digitized and reconstructed KM curves, then click Accept and fit (or Accept with discrepancies plus a short justification) to move on.

On Distribution fitting, review each fitted curve overlaid on the reconstructed KM, alongside a comparison table of AIC, BIC, median survival, and survival at your chosen time points. Add a short justification and click Confirm selection to pick a distribution; see Parametric distributions for what each one estimates.

Add treatment and other costs

Move to Treatment costs and set up the treatment regimen (with a drug-price lookup where available) and subsequent treatment for the progressed state. Then add health-state costs and any one-time adverse-event costs under Other costs.

Add health-state utilities

On Utilities, enter a utility value for each health state (progression-free and progressed). Split by treatment phase or by arm if your evidence supports it.

Review the ICER

The Results step leads with the incremental cost-effectiveness ratio (ICER): incremental cost divided by incremental QALYs, alongside a willingness-to-pay verdict. Per-arm costs and QALYs, life-years gained, and the full assumptions log sit underneath, in progressively more detail.

Test the result and export

On Sensitivity, run a one-way deterministic sensitivity analysis (a tornado diagram), a probabilistic sensitivity analysis with a cost-effectiveness plane and CEAC, and save named scenarios to compare side by side.

When you need results outside the app, for sharing, archival, or your own downstream work, click Export Excel on the curves overview to download the fitted parameters, variance–covariance matrices, and reconstructed patient-level data. Every sheet is documented in the Excel export reference.

Fill in BIA inputs

The inputs view groups everything you need into a few sections:

• Project basics: indication, region/jurisdiction, currency, and time horizon.
• Patient population: cohort settings and a choice of methods for deriving the eligible population.
• New drug: payer, dosing, pricing, administration, and one-off event costs.
• Current treatments: the same cost fields for each comparator. At least one is required unless you tick No comparator under Advanced settings.
• Pathway costs: a one-off, per-patient cost outside a drug’s own dosing, for a device, a diagnostic test, or a procedure. Set an optional uptake, a single figure or one that varies by year, for a line only some eligible patients take up.

Set market shares and run the analysis

Once a current treatment (or No comparator) is set, click Next: Market shares to allocate market share between the new drug and current treatments across the time horizon, then click Run Analysis. In no-comparator mode this stage is skipped: the button reads Next: Results and runs the analysis straight away.

Review results

The results view leads with net budget impact and percentage-change headline metrics, with three views:

• Aggregate: total / net spend across the horizon
• Per year: year-by-year spend breakdown
• Per patient: cost per patient-year and per patient-month

Per-weight-category breakdowns appear automatically when weight-based dosing is configured.

Export to Excel (optional)

For sharing or archiving the analysis outside the app, click Export to Excel on the results view. The workbook covers the full input set, per-year and aggregate spend, and a source/assumptions audit trail. Every sheet is documented in the Excel export reference.