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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.

A Multivalent Binding Model for FcgRs

This is to show oscillations in the number of cells in G1 and in G2 phase of cell cycle.

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The structure is the message: preserving experimental context through tensor decomposition

Clusters phosphoproteomics data by sequence and abundance dynamics

Trafficking model of FcRn to explain the effects of failed release at the cell surface.

R package for “Semiparametric Principal Stratification Analysis Beyond Monotonicity” by Jiaqi Tong, Brennan Kahan, Michael O. Harhay, and Fan Li. Statistica Sinica, in press.

Inferring antibody species from systems serology with a mechanistic binding model.

A modeling perspective on cell selective ligands

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 code to model and visualize sweat sodium loss across temperature and humidity conditions for passive vs. active interventions.

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.

Reproducible analysis for between-visit cerebrovascular and cardiovascular responses during the cold pressor test

A multi-omic view of MRSA infection using tensor factorization

R package for sample size and power in three-level and stepped-wedge cluster randomized trials. Companion to papers by Fan Li et al. in Biostatistics (2023) and Statistics in Medicine (2024).