73 citations · 138 across the 15 of their papers we have counts for
15 papers
Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions
Hongjing Xia, Joshua C. Chang, Sarah Nowak +4
We used survival analysis to quantify the impact of postdischarge evaluation and management (E/M) services in preventing hospital readmission or death. Our approach avoids a specif…
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery
Joshua C. Chang, Carson C. Chow, Julia Porcino
The Work Disability Functional Assessment Battery (WD-FAB) is a multidimensional item response theory (IRT) instrument designed for assessing work-related mental and physical funct…
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death
Joshua C. Chang, Ted L. Chang, Carson C. Chow +5
We developed an inherently interpretable multilevel Bayesian framework for representing variation in regression coefficients that mimics the piecewise linearity of ReLU-activated d…
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
Joshua C. Chang, Patrick Fletcher, Jungmin Han +5
Dimensionality reduction methods for count data are critical to a wide range of applications in medical informatics and other fields where model interpretability is paramount. For…
Regularized Bayesian calibration and scoring of the WD-FAB IRT model improves predictive performance over marginal maximum likelihood
Joshua C. Chang, Julia Porcino, Elizabeth K. Rasch +1
Item response theory (IRT) is the statistical paradigm underlying a dominant family of generative probabilistic models for test responses, used to quantify traits in individuals re…
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models
Joshua C. Chang, Shashaank Vattikuti, Carson C. Chow
Item response theory (IRT) is a non-linear generative probabilistic paradigm for using exams to identify, quantify, and compare latent traits of individuals, relative to their peer…
High-resolution reconstruction of cellular traction-force distributions: the role of physically motivated constraints and compressive regularization
Joshua C. Chang, Yanli Liu, Tom Chou
We develop a method to reconstruct, from measured displacements of an underlying elastic substrate, the spatially dependent forces that cells or tissues impart on it. Given newly a…
Predictive Bayesian selection of multistep Markov chains, applied to the detection of the hot hand and other statistical dependencies in free throws
Joshua C. Chang
Consider the problem of modeling memory effects in discrete-state random walks using higher-order Markov chains. This paper explores cross validation and information criteria as pr…
Determination of hysteresis in finite-state random walks using Bayesian cross validation
Joshua C. Chang
Consider the problem of modeling hysteresis for finite-state random walks using higher-order Markov chains. This Letter introduces a Bayesian framework to determine, from data, the…
Asymptotic convergence in distribution of the area bounded by prevalence-weighted Kaplan-Meier curves using empirical process modeling
Aaron Heuser, Minh Huynh, Joshua C. Chang
The Kaplan-Meier product-limit estimator is a simple and powerful tool in time to event analysis. An extension exists for populations stratified into cohorts where a population sur…
Bayesian field theoretic reconstruction of bond potential and bond mobility in single molecule force spectroscopy
Joshua C. Chang, Pak-Wing Fok, Tom Chou
Quantifying the forces between and within macromolecules is a necessary first step in understanding the mechanics of molecular structure, protein folding, and enzyme function and p…
Regulatory inhibition of biological tissue mineralization by calcium phosphate through post-nucleation shielding by Fetuin-A
Joshua C. Chang, Robert M. Miura
In vertebrates, insufficient availability of calcium and phosphate ions in extracellular fluids leads to loss of bone density and neuronal hyper-excitability. To counteract this pr…
A path-integral approach to Bayesian inference for inverse problems using the semiclassical approximation
Joshua C Chang, Van Savage, Tom Chou
We demonstrate how path integrals often used in problems of theoretical physics can be adapted to provide a machinery for performing Bayesian inference in function spaces. Such inf…
Iterative graph cuts for image segmentation with a nonlinear statistical shape prior
Joshua C. Chang, Tom Chou
Shape-based regularization has proven to be a useful method for delineating objects within noisy images where one has prior knowledge of the shape of the targeted object. When a co…
A mathematical model of the metabolic and perfusion effects on cortical spreading depression
Joshua C. Chang, K. C. Brennan, Dongdong He +4
Cortical spreading depression (CSD) is a slow-moving ionic and metabolic disturbance that propagates in cortical brain tissue. In addition to massive cellular depolarization, CSD a…