Abstract
A brief overview of Bayesian statistics is given, followed by illustrative applications of Bayesian methods in allogeneic hematopoietic cell transplantation (allo-HCT) and cellular therapy. Three clinical trial designs are described, including a study to evaluate safety and efficacy of cytotoxic T-lymphocytes for posttransplant viral infections, a trial to optimize chimeric antigen receptor T-cell dose for hematologic malignancies based on efficacy-toxicity trade-offs, and a randomized study of cord blood derived regulatory T-cells for COVID-19 induced acute respiratory distress syndrome. Three data analyses are described, including a sensitivity analysis of preparative regimen effects for allo-HCT that are confounded with institutional effects, regression-based estimation of the effects on survival of antigens in convalescent plasma therapy for COVID-19, and precision pharmacokinetic-guided dosing of intravenous busulfan in allo-HCT.
Original language | English (US) |
---|---|
Title of host publication | Manual of Hematopoietic Cell Transplantation and Cellular Therapies |
Publisher | Elsevier |
Pages | 39-52 |
Number of pages | 14 |
ISBN (Electronic) | 9780323798334 |
ISBN (Print) | 9780323798341 |
DOIs | |
State | Published - Jan 1 2023 |
Keywords
- acute respiratory distress syndrome
- allogeneic hematopoietic cell transplantation
- Bayesian statistics
- cellular therapy
- clinical trial design
- dose-finding
- futility monitoring
- precision medicine
- safety monitoring
ASJC Scopus subject areas
- General Medicine