Periodic logistic regression

Bernard D. Flury, Edward P. Levri

Research output: Contribution to journalArticle

24 Scopus citations

Abstract

We show how to use logistic regression in situations where the phenomenon under consideration is periodic, i.e., follows a cyclic pattern. The method is illustrated by using data for the Snail Potamopyrgus antipodarum, which exhibits a 24-hr periodic pattern of foraging. Snails are found on the top or bottom of rocks, depending on time of day. We show how periodic logistic regression models can be fitted simultaneously to several groups of data, taking into account that the groups may exhibit similar (but not identical) cyclic patterns. The proposed procedure is applicable to ecological studies that analyze the variability in a dichotomous response variable exhibiting a cyclic pattern over time.

Original languageEnglish (US)
Pages (from-to)2254-2260
Number of pages7
JournalEcology
Volume80
Issue number7
DOIs
StatePublished - Oct 1999

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics

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