Advanced Bayesian statistical modeling for clinical trial success prediction
All Probability of Success (PoS) estimates are AI-generated probabilistic models for research purposes only. These analyses are not medical advice, investment recommendations, regulatory guidance, or legal counsel. Clinical trial outcomes involve complex factors beyond these statistical models. Users must consult qualified professionals before making clinical, regulatory, investment, or business decisions. PatAP Intelligence disclaims all liability for outcomes, losses, or damages from reliance on these probabilistic estimates.
Interactive PoS analysis is available to Professional tier subscribers and admin users. View our demonstration analysis below or upgrade for full access.
Phase 3 | PD-L1+ Lung Cancer
Phase 3 | PD-L1≥1% Lung Cancer
Phase 3 | Aducanumab vs Placebo
Phase: II
Indication: Solid tumors
Sample Size: 150
Sponsor: Bristol Myers Squibb
Our PoS calculations use hierarchical Bayesian modeling with evidence-based priors from published meta-analyses.
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