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LOE Edge methodology

How we build a number you can defend

LOE Edge produces generic and biosimilar opportunity estimates from primary regulatory, patent, epidemiological and pricing records. This page sets out the method. The full source register and calculation specification are shared on request.

5
Stages from true entry date to captured opportunity
5
Evidence layers behind every treatment rate
Sourced
Every input tied to a named record, with gaps shown rather than filled

Five stages, and each one shows its working

An opportunity estimate is not a single model. It is a chain in which each stage is owned by one module, carries its own sources and uncertainty, and is read, never recalculated, by the stages downstream.

  1. True entry date

    Patent protection decomposed into layers, because compound expiry is rarely the date competitive entry actually becomes possible.

  2. Patient population

    Built upward from national registry incidence and prevalence, filtered by subtype, stage and diagnostic confirmation.

  3. Treatment reality

    Guideline eligibility narrowed to what is actually prescribed in that market. The gap between the two is usually where the opportunity sits.

  4. Volume and price

    Dosing, duration and unit price, with list and net prices distinguished rather than conflated.

  5. Capture

    Post-exclusivity erosion and share capture, split by the routes through which a generic entrant actually wins patients.

One value, one owner

Each figure in the chain is calculated in exactly one place and referenced everywhere else. A treatment rate on the market sizing screen can never quietly disagree with the same rate on the epidemiology screen, a failure most internal models carry without knowing it.

Uncertainty compounds, it does not average

Every step carries an error band that is carried forward by section rather than smoothed into one headline range. A chain resting mostly on modelling declares itself instead of borrowing confidence from the registry data around it.

We size every market twice, and show where the two disagree

One estimate reads the commercial data you already license. The other is built bottom-up from public records and needs no subscription. Where both exist, the gap between them is itself a finding, and we analyse it rather than picking the friendlier number.

Licensed basis

Reads the commercial audit data you hold. We never buy, store or resell licensed data. If your licence lapses, this basis goes dark and the other continues.

Public-source basis

Built from registry, literature and government pricing records. Available in every market we cover, including where no commercial audit exists.

Divergence analysis

The gap is quantified and explained. Where it exceeds tolerance, scoring is held at reduced confidence until an analyst reconciles it.

Where the data comes from

Primary records from the issuing authority, the registry and the patent office, rather than secondary aggregators. The register itself, with each source's coverage, refresh cadence, retrieval method and confidence tier, is shared on request.

For every source the register records what it gives, what it cannot tell you, geographic coverage, refresh cadence, retrieval method and confidence tier.

Regulatory

Approval status, exclusivity, therapeutic equivalence and price control, taken from national authorities rather than resellers.

National and regional drug regulators

Patent and IP

Full-text patent records and legal status across the major jurisdictions, searched by classification.

National and regional patent registers, and full-text patent databases

Scientific and epidemiological

National cancer and disease registries, peer-reviewed literature and international guideline bodies.

National disease registries, peer-reviewed literature and international guideline bodies

Commercial

Licensed audit and pipeline data, read under the client's own subscription.

Commercial audit and pipeline licences the client already holds

Primary research

Commissioned fieldwork where no published source exists: hospital audits, expert interviews, retail pricing surveys, supplier quotations.

Three problems most opportunity models get wrong

These are the places where a plausible-looking estimate quietly breaks. Each is handled explicitly in the platform and documented in full in the dossier.

Compound expiry is the wrong date

A molecule can be free of its compound patent for years while a formulation, device or packaging patent still blocks the commercially relevant presentation. Planning entry on compound expiry alone has cost entrants whole launch windows.

In the dossierRequest access

The filer is not published

Regulators disclose that a patent challenge has been filed, and when, but not by whom. Pending applications are confidential. Competitor views built on assumption at this point are the most common source of a wrong entrant list.

In the dossierRequest access

Guideline-eligible is not treated

A guideline describes what should happen. In most markets the share of eligible patients actually receiving therapy is far lower, and that gap, not the treated pool, is usually the largest driver of a post-exclusivity opportunity.

In the dossierRequest access

Every number arrives with a confidence rating attached

Confidence is set by rule, not by analyst judgement. Where modelled inputs dominate a chain, the rating is capped automatically. An analyst cannot talk a weak estimate up.

Evidence tiers

  • Tier 1Primary record, published by the issuing authority
  • Tier 2Secondary or partial coverage that needs parsing or adjustment
  • Tier 3Proxy or modelled, never used as a sole basis

Cross-method validation

Where a figure can be reached two independent ways, we run both and report the gap rather than choosing.

  • Close agreementReported as convergent
  • A wider gapReported with the difference stated
  • A material gapHeld at reduced confidence pending interpretation
  • Beyond thatFlagged for review rather than averaged away

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