Fully validated, SiZ is in use across industry, leading research institutions and international regulatory agencies. • Design and analyze data by choosing from parametric or p-value based multiple comparison procedures • Simulate and compare procedures to optimize your testing strategy • Visualize design operating characteristics to help decide on the best trial options Design and Analyze Multi-Arm Trials Multi-Arm Clinical Trials SiZ® modernizes trial planning for multiple arm studies by combining design, simulation, visual- ization, and data analysis within the Architect™ software standard environment. Trial designers can choose from a wide range of multiple comparison procedures – parametric and p-value based – to optimize the pairwise testing strategy of their fixed sample size design. Study planners can quickly compare design strate- gies using the fast simulation engine. With an array of tables, plots and graphs, SiZ clearly communi- cates trial concepts among study stakeholders. ®
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Fully validated, SiZ is in use across industry, leading research institutions and international regulatory agencies.
• Design and analyze data by choosing from parametric or p-value based multiple comparison procedures
• Simulate and compare procedures to optimize your testing strategy
• Visualize design operating characteristics to help decide on the best trial options
Design and Analyze Multi-Arm Trials
Multi-Arm Clinical Trials
SiZ® modernizes trial planning for multiple arm studies by combining design, simulation, visual-ization, and data analysis within the Architect™ software standard environment. Trial designers can choose from a wide range of multiple comparison procedures – parametric and p-value based – to optimize the pairwise testing strategy of their fixed sample size design. Study planners can quickly compare design strate-gies using the fast simulation engine. With an array of tables, plots and graphs, SiZ clearly communi-cates trial concepts among study stakeholders.
• Simultaneously plot and contrast design performance for several multiple comparison procedures • Plot and compare Global power, Conjunctive power, Disjunctive power, and Family-Wise Error Rate • Customize tables and graphs for effective communication with team members
Multiple pairwise comparisons with a control:• Continuous endpoint: Difference of means• Binary endpoint: Difference of proportions
Parametric multiple comparison procedures:• Dunnett’s single step• Dunnett’s step down