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stat.ME2026
A Bayesian spatio-temporal nearest neighbor Gaussian process model for pooled genetic data
Imke Botha, Tianxiao Hao, Lucinda E. Harrison +3
Large scale genetic datasets often aggregate the total allele counts of distinct genetic markers. Inferring haplotype frequencies (i.e.\ the frequency of multimarker alleles) from…
stat.ME2025★ 1 cited
A nonparametric approach to practical identifiability of nonlinear mixed effects models
Tyler Cassidy, Stuart T. Johnston, Michael Plank +4
Mathematical modelling is a widely used approach to understand and interpret clinical trial data. This modelling typically involves fitting mechanistic mathematical models to data…