title: Test of association: which one is the most appropriate for my study?
abstract: BACKGROUND
  Hypothesis tests are statistical tools widely used for assessing whether or not there is an association between two or more variables. These tests provide a probability of the type 1 error (p-value), which is used to accept or reject the null study hypothesis.
  
  
  OBJECTIVE
  To provide a practical guide to help researchers carefully select the most appropriate procedure to answer the research question. We discuss the logic of hypothesis testing and present the prerequisites of each procedure based on practical examples.
authors.affiliation: Federal University of Santa Catarina, Florianópolis, SC, BR.
authors.forename: David Alejandro
authors.initials: DA
authors.lastname: Gonzalez-Chica
authors.affiliation: Federal University of Santa Catarina, Florianópolis, SC, BR.
authors.forename: João Luiz
authors.initials: JL
authors.lastname: Bastos
authors.affiliation: Federal University of Health Sciences, Porto Alegre, RS, BR.
authors.forename: Rodrigo Pereira
authors.initials: RP
authors.lastname: Duquia
authors.affiliation: Federal University of Health Sciences, Porto Alegre, RS, BR.
authors.forename: Renan Rangel
authors.initials: RR
authors.lastname: Bonamigo
authors.affiliation: Latin American Cooperative Oncology Group, Porto Alegre, RS, BR.
authors.forename: Jeovany
authors.initials: J
authors.lastname: Martínez-Mesa
mesh_terms: D015982:Bias; D035843:Biomedical Research; D003627:Data Interpretation, Statistical; D006801:Humans; D016014:Linear Models; D015999:Multivariate Analysis; D012016:Reference Values; D012107:Research Design / Q000592:standards*