Análise de dados categóricos de integridade celular de cianobactérias.

Clemente, Allan; Oliveira, Samylla; Menezes, Indira; Carloto, Ismael; Capelo Neto, Jos�

Abstract

The techniques used in cyanobacterial cell integrity/viability studies provide two outcomes: intact cells or not. These categorical and dichotomous values often make statistical analysis of the results difficult. In this context, the aim of this paper is to present two methodologies for the analysis of these data, showing a detailed sequence of procedures that allow analyzing, with the necessary statistical accuracy, categorized cell integrity data. For this, 3600-records database was used with the results of cellular integrity of Dc and Rr. Among the results, the traditional approach proved appropriate to identify the association between causes and effect respecting the specific characteristics of each species and the odds ratio (OR) calculation allowed to measure the associations. In this multivariate approach, the estimated OR requires a differentiated interpretation in relation to the traditional approach since the estimates are adjusted for the effect of all other variables of the model. The full text of this article is in Portuguese.

Citation

CLEMENTE, A., OLIVEIRA, S., MENEZES, I., CARLOTO, I. and CAPELO NETO, J. 2021. Análise de dados categóricos de integridade celular de cianobactérias. Revista DAE [online], 69(228), pages 205-224. Available from: https://doi.org/10.36659/dae.2021.015

• Journal Article Type: Article
• Acceptance Date: Dec 12, 2019
• Online Publication Date: Dec 7, 2020
• Publication Date: Mar 31, 2021
• Deposit Date: May 2, 2022
• Publicly Available Date: May 2, 2022
• Journal: Revista DAE
• Print ISSN: 0101-6040
• Electronic ISSN: 2675-4959
• Publisher: SABESP (Companhia de Saneamento Básico do Estado de São Paulo S.A.)
• Peer Reviewed: Peer Reviewed
• Volume: 69
• Issue: 228
• Pages: 205-224
• DOI: https://doi.org/10.36659/dae.2021.015
• Keywords: Fisher exact test; Odds ratio; Logistic binomial regression; Filamentous cyanobacteria; Cylindrospermopsis raciborskii; Dolichospermum circinale; Multivariate approach
• Public URL: https://rgu-repository.worktribe.com/output/1128517