Sample Size for Multivariate Time-to-event Data
Study Details
Study Description
Brief Summary
Most of randomized clinical trials (RCT) using time-to-event criteria as the primary endpoint are designed, powered and analyzed based on an hypothetical hazard ratio (HR) corresponding to the targeted effect size between experimental and control arms. Usually, one assumes that populations are homogeneous within each treatment arm, that is, within each arm, (i) the baseline risk is identical for all patients, and (ii) the treatment effect is identical for all patients. This assumption however may not hold in all circumstances. This project aims at providing a statistical method for the estimation of sample size in RCT, in the presence of heterogenous populations, such as assuming populations with distinct underlying baseline risks or assuming different treatment effects.
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
---|---|
Control Control arm, i.e., as per standard procedures |
|
Experimental Experimental arm, i.e. investigational product |
Drug: intervention treatment
intervention treatment (any)
|
Outcome Measures
Primary Outcome Measures
- Overall survival [2 years]
time from randomization to death
Eligibility Criteria
Criteria
Inclusion Criteria:
- not applicable
Exclusion Criteria:
- not applicable
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | Institut Bergonié, Comprehensive Cancer Center | Bordeaux | France | 33400 |
Sponsors and Collaborators
- Institut Bergonié
- Institut National de la Santé Et de la Recherche Médicale, France
Investigators
- Principal Investigator: Carine Bellera, PhD, Institut Bergonié
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- IB2018-SAMPLE-SIZE-SURVIVAL