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stat.ME2021
Flexible Principal Component Analysis for Exponential Family Distributions
Tonglin Zhang, Baijian Yang, Qianqian Song +1
Traditional principal component analysis (PCA) is well known in high-dimensional data analysis, but it requires to express data by a matrix with observations to be continuous. To o…
stat.ME2021★ 16 cited
Quantifying Uncertainty in Infectious Disease Mechanistic Models
Lucy D'Agostino McGowan, Kyra H. Grantz, Eleanor Murray
This primer describes the statistical uncertainty in mechanistic models and provides R code to quantify it. We begin with an overview of mechanistic models for infectious disease,…
stat.ME2011
An Adjusted Likelihood Ratio Test for Separability in Unbalanced Multivariate Repeated Measures Data
Sean L. Simpson
We propose an adjusted likelihood ratio test of two-factor separability (Kronecker product structure) for unbalanced multivariate repeated measures data. Here we address the partic…