Dose-escalation and dose-finding study

Which doses or regimens merit further investigation under prespecified safety and activity criteria?

When to use this project

Study early dose or regimen selection using a reviewed rule-based, model-assisted or model-based design with safety constraints and defined decision authority.

How it differs

The objective is dose selection and characterization, not necessarily a definitive treatment-effect claim. A maximum tolerated dose and an optimal biologic or recommended dose need not coincide.

Decisions before you start

  • Define toxicity, activity, assessment windows and the target selection criterion.
  • Specify escalation, de-escalation, expansion, holds and stopping, including delayed outcomes and the possibility of no acceptable dose.
  • Evaluate the complete design by simulation and retain clinician oversight and an auditable decision process.

How the flows work together

Each flow below links to its diagram, steps and tables. Flow order organizes the project; it does not imply that all work is strictly sequential. Data assessment, analysis planning and protocol refinement may inform one another.

1. Dose-finding study overview

Overview · Question through dose recommendation

Use this overview to state the purpose and link to detailed decisions. Keep a versioned protocol and decision register, and add evidence references for the rationale.

View flow diagram and step-by-step guide

2. Eligibility and cohort enrollment

Selection · Track evaluability and replacement rules

Evaluable participants are a subset of enrolled participants, not a disjoint group. Specify replacement and hold rules, and retain safety information from people who do not complete the formal evaluation window.

View flow diagram and step-by-step guide

3. Dosing and assessment windows

Conduct · Specify schedules toxicity and activity

Define toxicity and activity ascertainment and their windows before enrollment. Delayed outcomes and dose modifications affect decision readiness; missing follow-up must not be mistaken for absence of toxicity.

View flow diagram and step-by-step guide

4. Escalation and stopping rules

Statistics · Define permitted decisions and safeguards

Rule-based, model-assisted and model-based designs use different decision mechanisms. Document allowed actions and safety constraints, including hold, stop and no acceptable dose. The diagram records decisions; it does not authorize dosing.

View flow diagram and step-by-step guide

5. Design simulations and assumptions

Statistics · Evaluate operating characteristics across scenarios

Simulate the full enrollment and decision process under plausible dose-response shapes, delays and accrual. Assess overdosing, selection, sample size and failure to identify an acceptable regimen, not only correct-dose selection.

View flow diagram and step-by-step guide

6. Safety review and dose selection

Statistics · Integrate evidence into dose recommendations

Selection should use the protocol-defined evidence and authorized review. A recommended regimen need not be the maximum tolerated dose; include uncertainty, pending outcomes and the possibility of no recommendation.

View flow diagram and step-by-step guide

Equations and statistical interpretation

These explanations describe notation and assumptions. Flow does not calculate these values.

Observed dose-specific toxicity proportion

y_d is the number with the protocol-defined toxicity at dose d and n_d is the specified evaluable denominator for that window.

This descriptive proportion is not an escalation algorithm. Pending outcomes, replacement and model-based borrowing need explicit rules; small cohorts produce considerable uncertainty.

Published example

Topalian et al. (2012), Safety, Activity, and Immune Correlates of Anti–PD-1 Antibody in Cancer

Examine the early-phase dose cohorts, safety windows and expansion objectives. Distinguish exploratory activity from a randomized efficacy comparison.

This publication illustrates a study design, not an endorsement of every method or a reproduction of its results. Follow its protocol, supplement and update history when studying the example.

Hypothetical scenario

An early development team wants to identify a tolerable regimen for a later trial while collecting preliminary activity information.

  1. Dose-finding study overview: Specify the dose question, approvals, registration and review responsibilities.
  2. Eligibility and cohort enrollment: Define enrollment, evaluability, replacement and holds without hiding incomplete follow-up.
  3. Dosing and assessment windows: Set permissible regimens and prespecified toxicity and activity windows.
  4. Escalation and stopping rules: Document the reviewed algorithm, safety constraints and authorized actions.
  5. Design simulations and assumptions: Simulate dose-response, accrual and delayed-outcome scenarios before selecting the design.
  6. Safety review and dose selection: Review accumulated evidence, including pending outcomes, and document the rationale for a recommendation or no selected dose.

Deliver a populated protocol, decision log, data specification, and planned outputs. Enter numerical findings only after analysis and verification. Keep decisions made before seeing results distinguishable from later amendments.

Sources

Source check: 2026-09-17. Record the version of each reporting or appraisal tool used in your actual protocol.

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