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arXiv · 1907.10207

Hypothesis Testing in Nonlinear Function on Scalar Regression with Application to Child Growth Study

Mityl Biswas·Arnab Maity
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Abstract

We propose a kernel machine based hypothesis testing procedure in nonlinear function-on-scalar regression model. Our research is motivated by the Newborn Epigenetic Study (NEST) where the question of interest is whether a pre-specified group of toxic metals or methylation at any of 9 differentially methylated regions (DMRs) is associated with child growth. We take the child growth trajectory as the functional response, and model the toxic metal measurements jointly using a nonlinear function. We use a kernel machine approach to model the unknown function and transform the hypothesis of no effect to an appropriate variance component test. We demonstrate our proposed methodology using a simulation study and by applying it to analyze the NEST data.

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Mityl Biswas, Arnab Maity. 2019-07-24. Hypothesis Testing in Nonlinear Function on Scalar Regression with Application to Child Growth Study. https://arxiv.org/abs/1907.10207

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