25 citations · 67 across the 7 of their papers we have counts for
7 papers
Application of Bayesian Dynamic Linear Models to Random Allocation Clinical Trials
Albert. H. Lee, Edward L Boone, Roy T. Sabo +1
Random allocation models used in clinical trials aid researchers in determining which of a particular treatment provides the best results by reducing bias between groups. Often how…
Immunological determinants of clinical outcomes in COVID-19: A quantitative perspective
Elizabeth Krieger, Nicole Vissichelli, Stefan Leichtle +13
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a variable clinical presentation that ranges from asymptomatic, to severe disease with cytokine storm. The mortalit…
Obtaining interpretable parameters from reparameterizing longitudinal models: transformation matrices between growth factors in two parameter spaces
Jin Liu, Robert A. Perera, Le Kang +2
The linear spline growth model (LSGM), which approximates complex patterns using at least two linear segments, is a popular tool for examining nonlinear change patterns. Among such…
Two-step growth mixture model to examine heterogeneity in nonlinear trajectories
Jin Liu, Le Kang, Roy T. Sabo +2
Empirical researchers are usually interested in investigating the impacts of baseline covariates have when uncovering sample heterogeneity and separating samples into more homogene…
Dynamical System Modeling to Simulate Donor T Cell Response to Whole Exome Sequencing-Derived Recipient Peptides: Understanding Randomness in Clinical Outcomes Following Stem Cell Transplantation
V Koparde, B Abdul Razzaq, T Suntum +12
Alloreactivity following stem cell transplantation (SCT) is difficult to predict in patients undergoing transplantation from HLA matched donors. In this study we performed whole ex…
Dynamical System Modeling Of Immune Reconstitution Following Allogeneic Stem Cell Transplantation Identifies Patients At Risk For Adverse Outcomes
Amir A. Toor, Roy T. Sabo, Catherine H. Roberts +17
Systems that evolve over time and follow mathematical laws as they do so, are called dynamical systems. Lymphocyte recovery and clinical outcomes in 41 allograft recipients conditi…
Stem Cell Transplantation As A Dynamical System: Are Clinical Outcomes Deterministic?
Amir A Toor, Jared D Kobulnicky, Salman Salman +14
Outcomes in stem cell transplantation (SCT) are modeled using probability theory. However the clinical course following SCT appears to demonstrate many characteristics of dynamical…