Abdel-Salam Gomaa Abdel-Salam
Qatar University
Qatar
Title: Outlier robust non-linear mixed model estimation on gene expression
Biography
Biography: Abdel-Salam Gomaa Abdel-Salam
Abstract
In standard analyses of data well-modeled by a Non-Linear Mixed Model (NLMM), an aberrant observation, either within a cluster, or an entire cluster itself, can greatly distort parameter estimates and subsequent standard errors. Consequently, inferences about the parameters are misleading. This paper proposes an outlier robust method based on linearization to estimate fixed effects parameters and variance components in the NLMM. An example is given using the 4-parameter logistic model and gene expression and environment datasets and comparing the robust parameter estimates to the non-robust estimates.
