Change point testing in logistic regression models with interaction term.
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ABSTRACT: A threshold effect takes place in situations where the relationship between an outcome variable and a predictor variable changes as the predictor value crosses a certain threshold/change point. Threshold effects are often plausible in a complex biological system, especially in defining immune responses that are protective against infections such as HIV-1, which motivates the current work. We study two hypothesis testing problems in change point models. We first compare three different approaches to obtaining a p-value for the maximum of scores test in a logistic regression model with change point variable as a main effect. Next, we study the testing problem in a logistic regression model with the change point variable both as a main effect and as part of an interaction term. We propose a t
SUBMITTER: Fong Y
PROVIDER: S-EPMC4390452 | biostudies-literature | 2015 Apr
REPOSITORIES: biostudies-literature
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