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Si z mc-datasheet-
SiZ software is used across various industries and research institutions to design and analyze multi-arm clinical trials. It allows users to choose from parametric or p-value based multiple comparison procedures to optimize trial design. Users can simulate different design strategies and compare procedures to determine the best trial options using visualization of design operating characteristics. SiZ modernizes planning for multi-arm trials within the Architect software environment by combining design, simulation, analysis, and visualization.
Si z mc-datasheet-
- 1. Fully validated, SiZis 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. ®
- 2. Design. Simulate. Analyze. CytelInc. 675 Massachusetts Avenue Cambridge, MA 02139 T: +1.617.661.2011 F: +1.617.661.4405 [email protected] Request an Evaluation Copy Today ® • 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 P-value based multiple comparison procedures: • Bonferroni • Sidak • Weighted Bonferroni • Holm’s step down • Hochberg’s step up • Hommel’s step up • Fixed sequence • Fallback Generate means through a DR curve Global, disjunctive, conjunctive, and individual power Family Wise Error Rate (FWER) Comparative plots of power, FWER, box plots, estimated means