ModelChoice decision tree · Pharma and biotech
Pharmaceutical Pipeline Decision
Develop drug A, drug B or both, out-license both, or keep the money?
From the model’s decision tree
Best first decision: Develop Both (Parallel)
The expected value of each first option when every later decision is also made well (the tree rolled back).
| First decision | Expected value | |
|---|---|---|
| Develop Drug A | $407,802,000 | |
| Develop Drug B | $94,502,000 | |
| Develop Both (Parallel) | $776,711,250 | ✔ best |
| Out-License Both | $200,000,000 | |
| Do Nothing | $0 |
| Measure | Value |
|---|---|
| Expected value of the best strategy | $776,711,250 |
| Chance of a loss on the best strategy | 70.5% |
| Best outcome on the best strategy | $3,535,000,000 |
| Worst outcome on the best strategy | −$140,000,000 |
S-curve (cumulative probability) of Develop Both (Parallel) from the saved simulation.
The decision
A mid-size pharmaceutical company has two drug candidates in its pipeline. Both target different therapeutic areas but share the same clinical trial cost structure and regulatory pathway. Management must decide whether to:
- Develop Drug A alone (oncology, blockbuster potential)
- Develop Drug B alone (rare disease, moderate but steady revenue)
- Develop both in parallel (diversification, higher upfront cost)
- Out-license both candidates to a larger pharma company
- Do nothing and preserve capital
How the inputs are linked
The MC_Tree_1 sheet has a parameter table above the decision tree. Phase I, II, and III costs and success rates are defined once in the control panel and referenced by multiple branches in the tree. Changing a single parameter instantly updates all linked tree values and recalculates expected values.
The inputs that drive several branches at once:
- Phase I Cost — used by Drug A, Drug B, and Both paths
- Phase II Cost — used after Phase I success in all paths
- Success rates — same clinical success rates drive all branches
- Regulatory filing cost — same FDA submission cost for both drugs
The decision tree
The tree has 3 decisions, 10 chance events and 19 outcomes. The best path is open: at every decision the best choice is marked, and the expected value beside each branch counts every cash flow from the start. Open any other branch to see what follows it.
DecisionChance event+$ cash flow on the branch
Develop Drug A −$5,000,000expected $407,802,000
Chance: Phase I Result (A)65% Phase I Success −$15,000,000expected $630,080,000
Chance: Phase II Result (A)40% Phase II Success −$50,000,000expected $1,605,200,000
Chance: Phase III Result (A)- 60% FDA Approved +$2,792,000,000payoff $2,722,000,000
- 40% Phase III Failedpayoff −$70,000,000
- 60% Phase II Failurepayoff −$20,000,000
- 35% Phase I Failurepayoff −$5,000,000
Develop Drug B −$5,000,000expected $94,502,000
Chance: Phase I Result (B)65% Phase I Success −$15,000,000expected $148,080,000
Chance: Phase II Result (B)40% Phase II Success −$50,000,000expected $400,200,000
Decision: Drug B Launch DecisionFull Phase III −$50,000,000expected $400,200,000 ✔ best
Chance: Phase III Result (B)- 60% FDA Approved +$867,000,000payoff $747,000,000
- 40% Phase III Failedpayoff −$120,000,000
- License After Phase II +$100,000,000payoff $30,000,000
- 60% Phase II Failurepayoff −$20,000,000
- 35% Phase I Failurepayoff −$5,000,000
Develop Both (Parallel) −$10,000,000expected $776,711,250 ✔ best
Chance: Portfolio Phase I Outcome42% Both Succeed Phase I −$30,000,000expected $1,144,500,000
Decision: Both Passed Phase IContinue Both to Phase II+III −$100,000,000expected $1,144,500,000 ✔ best
Chance: Dual Phase II/III Outcome- 6% Both Approved +$3,675,000,000payoff $3,535,000,000
- 38% One Approved +$2,800,000,000payoff $2,660,000,000
- 56% Neither Approvedpayoff −$140,000,000
Pick Best, License Other −$50,000,000expected $682,000,000
Chance: Best Candidate Phase II/III- 24% Approved +$2,900,000,000payoff $2,810,000,000
- 76% Failed +$100,000,000payoff $10,000,000
46% Only One Succeeds −$15,000,000expected $647,000,000
Chance: Single Survivor Phase II/III- 24% Survivor Approved +$2,800,000,000payoff $2,775,000,000
- 76% Survivor Failedpayoff −$25,000,000
- 12% Both Fail Phase Ipayoff −$10,000,000
- Out-License Both +$200,000,000payoff $200,000,000
- Do Nothingpayoff $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
| Assumption | Value | Notes |
|---|---|---|
| Phase I Cost (per candidate) | $5,000,000 | Clinical trial Phase I cost |
| Phase II Cost (per candidate) | $15,000,000 | Clinical trial Phase II cost |
| Phase III Cost (per candidate) | $50,000,000 | Large-scale pivotal trial |
| Phase I Success Rate | 65.0% | Probability of advancing to Phase II |
| Phase II Success Rate | 40.0% | Probability of advancing to Phase III |
| Phase III Success Rate | 60.0% | Probability of FDA approval |
| Peak Annual Revenue (Blockbuster) | $800,000,000 | Best-case annual revenue |
| Peak Annual Revenue (Moderate) | $250,000,000 | Moderate market uptake |
| Peak Annual Revenue (Niche) | $80,000,000 | Small patient population |
| Licensing Deal Value | $100,000,000 | Upfront + milestones if out-licensed |
| NPV Multiplier | 3.5 | Revenue-to-NPV conversion factor |
| Regulatory Filing Cost | $8,000,000 | NDA/BLA filing and review costs |
The figures are illustrative: the companies and numbers are invented for teaching.
Try it in ModelChoice
- Change Phase I Cost in the control panel. Watch all branches update
- Increase Phase III Success Rate. See how it shifts the optimal strategy
- Run Sensitivity Analysis. Tornado chart shows which parameters matter most
- Run Strategy Table. Compare all strategies on the risk-return frontier
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Further reading
Download the workbook and open it with ModelChoice. The free trial opens every example.
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An illustrative example: the figures are invented for teaching. Last updated 9 October 2026.