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Read this paper if you want to learn logistic regression

Bibliographic Data

ID3187697
AuthorsAntônio Fernandes (0000-0002-0249-517X, Universidade Federal de Pernambuco), Dalson Figueiredo Filho (0000-0001-6982-2262, Universidade Federal de Pernambuco), Enivaldo Carvalho Da Rocha (0000-0003-1717-523X, Universidade Federal de Pernambuco), Willber Da Silva Nascimento (0000-0002-2257-8108, Universidade Federal de Pernambuco)
Year2020
Volume28
Issue74
Publication date2020-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista de Sociologia e Política (JOURNAL)
Journal identifiersISSN: 0104-4478 • E-ISSN: 1678-9873
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1678-987320287406en
OpenAlexW3116860964
SCIELO_PIDS0104-44782020000200207
LanguageEN
Citations received9
References cited39

Introduction: What if my response variable is binary categorical? This paper provides an intuitive introduction to logistic regression, the most appropriate statistical technique to deal with dichotomous dependent variables. Materials and Methods: we estimate the effect of corruption scandals on the chance of reelection of candidates running for the Brazilian Chamber of Deputies using data from Castro and Nunes (2014). Specifically, we show the computational implementation in R and we explain the substantive interpretation of the results. Results: we share replication materials which quickly enables students and professionals to use the procedures presented here for their studying and research activities. Discussion: we hope to facilitate the use of logistic regression and to spread replication as a data analysis teaching tool

Categorical variable · Data science · Econometrics · Interpretation (philosophy) · Logistic regression · Machine learning · Programming language · Regression analysis · Replication (statistics) · Statistics · Variable (mathematics) · Variables · Computer Science · Mathematics · Psychology · Qualitative Comparative Analysis Research

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Unique citing works9
Citations per year2,25
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 6
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