• Analysis »
  • Screenshots »

Operationally and inferentially seamless designs may significantly decrease development duration, while maintaining statistical validity. ADDPLAN® MC provides simulation and analysis functionality for multi-armed confirmatory studies and the inverse normal and Fisher’s p-value combination testing strategies. Different treatment selection rules may simply be examined for different response scenarios and development strategies to select the best design for regulatory approval. 

ADDPLAN® MC was the first validated adaptive multi-armed study design software.

Simulate Design: Simulation of inferentially & operationally seamless Phase II/III designs

  1. Control of family-wise error rate
  2. Early success/futility stopping

Sample size re-estimation based on conditional power
Adaptive treatment arm selection
Wide range of treatment arm selection rules
Sample size re-estimation
Simulation settings allowing easy power examination for different dose-response profiles
Simulation of treatment selection based on surrogate endpoints for survival data
ADDPLAN® MC manual provides insight into the applied methodology and worked examples

Adaptive Analysis: Interim & final analysis of adaptive multi armed study designs including...

Flexible dropping of treatment arms
Sample size re-estimation based on observed or assumed effects
Conditional power calculation based on the remaining total sample size
Repeated confidence intervals taking possible early stopping into account.



Design Your Trial

All Relevant Group Sequential Designs


Compare Your Effect Size

Ready-to-Use Text Modules


Visualize Your Decision Boundaries

Simulate Your Trial Design


Compare Test Strategies

Assess Survival Assumptions


Dose-Response Shape

Assess Treatment Arm Selection Rules


Produce Your Own Charts and Tables

Analyze Your Data


Seamless Phase II/III Combinations

Enrichment Designs


Visualize Your Trial's Progress

Recalculate the Sample Size


Demonstrate the Conditional Power

Redesign Your Trial


Audit Trial Information