Common Phase I Clinical Trial Designs and Sample Size

Design Type

Primary Objective

Typical Use Scenario

Key Design Features

Typical Sample Size (Total)

3+3 Dose Escalation Design

Safety, MTD

FIH, conventional phase I

Rule-based; 3–6 patients per dose level; dose escalation/de-escalation based on DLTs

15–30

BOIN Design

Safety, MTD

Oncology phase I

Interval-based rule design; no explicit model; operationally similar to 3+3

20–36

CRM / mCRM

Accurate MTD estimation

Oncology, targeted therapies

Bayesian model-based design; continual updating of dose–toxicity relationship

20–36

Dose Expansion Cohort

Further safety, signal exploration

After RP2D / MTD determination

Enrollment at selected dose levels; descriptive analyses only

10–30 per cohort

Phase I/1b (Escalation + Expansion)

Safety + preliminary efficacy

Oncology targeted / immunotherapies

Dose escalation followed by multiple expansion cohorts

30–60+

Healthy Volunteer Phase I (SAD/MAD)

Safety, PK

Non-oncology small molecules

Single- and multiple-ascending dose; sequential dosing

40–80

 


 

 

Common Phase II Clinical Trial Designs and Sample Size

Design Type

Primary Objective

Typical Use Scenario

Key Design Features

Typical Sample Size (Total)

Single-Arm Phase II

Preliminary efficacy

No standard therapy; rare diseases

Single treatment arm; comparison with historical control; formal statistical hypothesis

25–50

Single-Arm Phase II (Simon Two-Stage)

Go / no-go decision

Early efficacy screening

Two-stage design with early stopping for futility

30–40 (average fewer)

Randomized Controlled Phase II

Comparative efficacy

Existing standard of care

Randomized (e.g., 1:1 or 2:1); screening comparison

60–120 (≈30–60 per arm)

Randomized Non-Comparative Phase II

Regimen or dose selection

Multiple doses or combinations

Randomized arms analyzed independently; no formal between-arm comparison

25–50 per arm

Adaptive Phase II

Efficient decision-making

Multiple regimens / biomarkers

Pre-specified interim adaptations; flexible sample size

Variable (often 50–100)

Phase II in Rare Diseases

Signal detection

Limited patient population

Relaxed assumptions on α and power; often single-arm

15–30

 


 

 

Common Phase III Clinical Trial Designs and Sample Size

Design Type

Primary Objective

Typical Use Scenario

Key Design Features

Typical Sample Size (Total)

Randomized Controlled Phase III (Superiority)

Confirm efficacy and safety

Established standard of care

Randomized (typically 1:1); formal hypothesis testing versus standard therapy

300–1,000+

Randomized Controlled Phase III (Non-inferiority)

Demonstrate non-inferiority

Effective standard therapy exists

Pre-specified non-inferiority margin; choice of control critical

500–2,000+

Placebo-Controlled Phase III

Confirm efficacy

No effective standard therapy

Randomized, double-blind, placebo-controlled

200–800

Event-Driven Phase III

Evaluate time-to-event outcomes

PFS / OS as primary endpoint

Sample size driven by required number of events; long-term follow-up

600–2,000+

Adaptive Phase III

Improve efficiency

Multiple doses or populations

Pre-specified interim analyses and adaptations

Variable (often several hundred to >1,000)

Phase III in Rare Diseases / Accelerated Programs

Support registration

Limited patient population

Smaller sample size with strong justification; regulatory flexibility

100–300