More detailed growth models using inference.
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Updated
Apr 24, 2020 - Python
More detailed growth models using inference.
Dissecting systems serology with a tensor factorization
Study Fc antibody dynamics using a multivalent binding model
A binding-reaction model for the common gamma chain receptor cytokines.
This is to show oscillations in the number of cells in G1 and in G2 phase of cell cycle.
A Multivalent Binding Model for FcgRs
一个出图+组图skill,附带一整套svg工具
The structure is the message: preserving experimental context through tensor decomposition
Trafficking model of FcRn to explain the effects of failed release at the cell surface.
Clusters phosphoproteomics data by sequence and abundance dynamics
R code to model and visualize sweat sodium loss across temperature and humidity conditions for passive vs. active interventions.
Inferring antibody species from systems serology with a mechanistic binding model.
R package for “Model-Robust Standardization in Cluster-Randomized Trials” by Fan Li, Jiaqi Tong, Xi Fang, Chao Cheng, Brennan C. Kahan, and Bingkai Wang. Statistics in Medicine (2025), 44(20–22):e70270.
R package for “Semiparametric Principal Stratification Analysis Beyond Monotonicity” by Jiaqi Tong, Brennan Kahan, Michael O. Harhay, and Fan Li. Statistica Sinica, in press.
R code for “Hierarchical Bayesian modeling of heterogeneous outcome variance in cluster randomized trials” by Guangyu Tong, Jiaqi Tong, Yi Jiang, Denise Esserman, Michael O. Harhay, and Joshua L. Warren. Clinical Trials (2024), 21(4):451–460.
A modeling perspective on cell selective ligands
Reproducible analysis for between-visit cerebrovascular and cardiovascular responses during the cold pressor test
R code for designing multicenter individually randomized group treatment trials, including sample size calculations, simulations, and examples. Companion to Tong, Tong, and Li (Biometrical Journal, 2024).
R code for sample size calculations and random slope simulations in hierarchical 2 × 2 factorial trials with treatment effect heterogeneity. Companion to Tong, Li, and Tong (Biometrical Journal, 2026).
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