Clinical Trial Go/No-Go Decision Tree | Vose Software

ModelChoice decision tree · Pharma and biotech

Clinical Trial Go/No-Go Decision

After Phase I: run Phase II, partner the compound, or shelve it?

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From the model’s decision tree

Best first decision: Proceed to Phase II

The expected value of each first option when every later decision is also made well (the tree rolled back).

First decisionExpected value
Proceed to Phase II$135,077,500✔ best
Partner / Out-License$41,750,000
Shelve Compound$0
MeasureValue
Expected value of the best strategy$135,077,500
Chance of a loss on the best strategy61.1%
Best outcome on the best strategy$1,895,000,000
Worst outcome on the best strategy−$100,000,000
The best strategy: chance of each outcome or less

The decision

A biotech company has completed Phase I safety trials for a novel therapeutic compound targeting autoimmune diseases. The compound shows promise but the company must decide whether to invest in Phase II efficacy trials, seek a pharmaceutical partner, or shelve the compound.

This is a multi-stage decision with enormous value at stake. Each clinical trial phase provides new information that informs the next go/no-go decision.

Objective

Maximize expected NPV. This model captures the classic pharma pipeline decision with its extreme asymmetry: most compounds fail, but successes can generate billions. Features adaptive trial design as a risk-reducing option.

The options

Option 1: Proceed to Phase II ($25M)

Run the efficacy trial. Results determine Phase III strategy:

  • Strong efficacy (20%): Full Phase III ($80M) or partner
  • Moderate efficacy (35%): Phase III, adaptive trial, or partner
  • Weak signal (25%): Reformulate, pivot indication, or abandon
  • Safety concern (20%): Program terminated
Option 2: Partner / Out-License ($2M)

Seek a partner before Phase II. Lower risk, but gives up most of the upside. Quality of offers depends on competitive landscape and compound profile.

Option 3: Shelve Compound

Preserve capital. Compound may have future value if science advances.

The decision tree

The tree has 4 decisions, 8 chance events and 26 outcomes. The best path is open: at every decision the best choice is marked, and the expected value beside each branch counts every cash flow from the start. Open any other branch to see what follows it.

DecisionChance event+$ cash flow on the branch

Decision: Phase II Trial Decision
  • Proceed to Phase II −$25,000,000expected $135,077,500 ✔ best
    Chance: Phase II Results
    • 20% Strong Efficacyexpected $467,450,000
      Decision: Phase III (Strong Data)
      • Full Phase III −$80,000,000expected $467,450,000 ✔ best
        Chance: Phase III Outcome (Strong)
        • 65% FDA Approvalexpected $713,000,000
          Chance: Commercial Performance
          • 20% Blockbuster (>$1B) +$2,000,000,000payoff $1,895,000,000
          • 40% Strong Sales +$800,000,000payoff $695,000,000
          • 30% Moderate Sales +$300,000,000payoff $195,000,000
          • 10% Below Expectations +$80,000,000payoff −$25,000,000
        • 20% Conditional / Delayed +$200,000,000payoff $95,000,000
        • 15% Phase III Failure +$5,000,000payoff −$100,000,000
      • Partner Now (Strong Data) +$150,000,000payoff $125,000,000
    • 35% Moderate Efficacyexpected $115,250,000
      Decision: Phase III (Moderate Data)
      • Proceed to Phase III −$80,000,000expected $111,500,000
        Chance: Phase III (Moderate Path)
        • 40% Approval +$500,000,000payoff $395,000,000
        • 30% Complete Response Letter +$50,000,000payoff −$55,000,000
        • 30% Failure +$5,000,000payoff −$100,000,000
      • Adaptive Trial Design −$50,000,000expected $115,250,000 ✔ best
        Chance: Adaptive Trial Results
        • 45% Adapted Successfully +$400,000,000payoff $325,000,000
        • 30% Inconclusive +$30,000,000payoff −$45,000,000
        • 25% Stopped for Futility +$5,000,000payoff −$70,000,000
      • Partner Now +$60,000,000payoff $35,000,000
    • 25% Weak Signalexpected $25,000,000
      Decision: Weak Phase II Signal
      • Reformulate & Retry −$15,000,000expected $25,000,000 ✔ best
        Chance: Reformulation Results
        • 30% Improved Efficacy +$200,000,000payoff $160,000,000
        • 50% No Improvement +$10,000,000payoff −$30,000,000
        • 20% New Safety Issuepayoff −$40,000,000
      • Pivot to New Indication −$10,000,000expected $11,500,000
        Chance: New Indication Results
        • 25% Shows Promise +$150,000,000payoff $115,000,000
        • 45% Marginal +$20,000,000payoff −$15,000,000
        • 30% No Effectpayoff −$35,000,000
      • Abandon +$2,000,000payoff −$23,000,000
    • 20% Safety Concern / Failurepayoff −$25,000,000
  • Partner / Out-License −$2,000,000expected $41,750,000
    Chance: Partnership Offers
    • 20% Strong Offer (Big Pharma) +$120,000,000payoff $118,000,000
    • 45% Fair Offer (Mid Pharma) +$40,000,000payoff $38,000,000
    • 35% Weak / No Offers +$5,000,000payoff $3,000,000
  • Shelve Compoundpayoff $0

Change the numbers. Open the workbook with ModelChoice, change a probability or a cost in the tree, and the best decision updates at once.

Key assumptions

AssumptionValueNotes
Phase II Cost$25,000,000200-patient efficacy trial
Phase III Cost$80,000,000Large pivotal trial, 2+ years
Adaptive Trial Cost$50,000,000Flexible design, interim analyses
Reformulation Cost$15,000,000New formulation, additional PK studies
Phase II Success Rate55%Strong or moderate efficacy signal
Phase III Approval (Strong)65%Given strong Phase II data
Phase III Approval (Moderate)40%Given moderate Phase II data
Blockbuster Revenue (NPV)$2,000,000,000Peak sales >$1B/year
Big Pharma Partnership$120,000,000Upfront + milestones + royalties
Total Capital at Risk$25M - $105MDepends on go/no-go decisions

The figures are illustrative: the companies and numbers are invented for teaching.

Try it in ModelChoice

  • Strategy Table. Compare all development paths with risk-return frontier
  • Sensitivity Analysis. How does Phase II success rate affect the go/no-go?
  • Risk Profile. Visualize the extreme asymmetry of pharma returns

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Further reading