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Step-up procedures for non-inferiority tests with multiple experimental treatments
Koon Shing Kwong1, Siu Hung Cheung2, Anthony J Hayter3
1School of Economics, Singapore Management University, Singapore kskwong@smu.edu.sg.
New statistical methods enhance non-inferiority (NI) trials with multiple treatments. These step-up procedures offer improved power compared to single-step methods for establishing treatment effect.
Area of Science:
- Clinical Trials
- Biostatistics
- Pharmaceutical Research
Background:
- Non-inferiority (NI) trials are increasingly utilized to evaluate new treatments against established standards.
- Valid NI trials require assay sensitivity, confirming the standard treatment's efficacy.
- Existing statistical methods for three-arm NI trials often focus on a single new treatment.
Purpose of the Study:
- To extend existing single-step procedures for NI trials with multiple new treatments.
- To introduce two novel step-up procedures for analyzing multi-treatment NI trials.
- To improve statistical power and flexibility in NI trial design.
Main Methods:
- Development of two new step-up statistical procedures.
- Extension of a previously developed single-step procedure.
- Comparative power analysis of the proposed procedures against the single-step method.
Main Results:
- Both proposed step-up procedures demonstrated significantly improved statistical power compared to the single-step procedure.
- One procedure offers flexibility in error rate allocation between sensitivity and NI hypotheses.
- This flexibility allows for potentially reduced placebo group sizes in trial design.
Conclusions:
- The developed step-up procedures offer enhanced statistical power for non-inferiority trials with multiple new treatments.
- These methods provide valuable alternatives to existing single-step procedures.
- The flexible procedure aids in optimizing patient allocation and trial design efficiency.
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