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.
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Design and Analyze Multi-Arm Clinical Trials
1. 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.
®
2. Design. Simulate. Analyze.
Cytel Inc.
675 Massachusetts Avenue
Cambridge, MA 02139
T: +1.617.661.2011
F: +1.617.661.4405
sales@cytel.comwww.cytel.com
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®
• 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