@prefix n9j: <http://data.loterre.fr/ark:/67375/N9J> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix isothes: <http://purl.org/iso25964/skos-thes#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .

n9j:-PMT5JWKC-3
  skos:prefLabel "diagnostics"@en ;
  a skos:Concept ;
  skos:broader n9j:-MW8R47ST-M .

n9j:-MQ5F3R40-C
  skos:prefLabel "ordinary least squares regression"@en ;
  a skos:Concept ;
  skos:broader n9j:-MW8R47ST-M .

n9j:-C8NQZ4GL-J
  skos:prefLabel "statistics and research methods"@en ;
  a skos:Concept ;
  skos:narrower n9j:-MW8R47ST-M .

n9j:-RS9ZJ0L1-8
  skos:prefLabel "natural logarithm"@en ;
  a skos:Concept ;
  skos:broader n9j:-MW8R47ST-M .

n9j:-methods
  a isothes:ConceptGroup ;
  skos:prefLabel "methods"@en ;
  skos:member n9j:-MW8R47ST-M .

n9j: a skos:ConceptScheme .
n9j:-Q78M8VWZ-3
  skos:prefLabel "biostatistics and clinical epidemiology"@en ;
  a skos:Concept ;
  skos:narrower n9j:-MW8R47ST-M .

n9j:-RXS7VV30-6
  skos:prefLabel "quantitative data analysis"@en ;
  a skos:Concept ;
  skos:narrower n9j:-MW8R47ST-M .

n9j:-MW8R47ST-M
  skos:narrower n9j:-T815M1JS-M, n9j:-MQ5F3R40-C, n9j:-RS9ZJ0L1-8, n9j:-DFQ3T4M0-8, n9j:-PMT5JWKC-3, n9j:-K8GG44BT-T ;
  owl:sameAs <https://concepts.sagepub.com/social-science/concept/logistic_regression> ;
  skos:prefLabel "logistic regression"@en ;
  skos:definition "Logistic regression is a statistical technique for analyzing the relationship of an outcome or dependent variable to one or more predictors or independent variables when the dependent variable is (1) dichotomous, having only two categories, for example, the presence or absence of symptoms, or the use or nonuse of tobacco; (2) unordered polytomous, a nominal scale variable with three or more categories, for example, type of contraception (none, pill, condom, intrauterine device) used in response to services provided by a family planning clinic; or (3) ordered polytomous, an ordinal scale variable with three or more categories, for example, whether a patient's condition deteriorates, remains the same, or improves in response to a cancer treatment. Here, the basic logistic regression model for dichotomous outcomes is examined, noting its extension to polytomous outcomes and its conceptual roots in both log-linear analysis and the general linear model. [Source: Encyclopedia of Epidemiology; Logistic Regression]"@en ;
  skos:broader n9j:-Q78M8VWZ-3, n9j:-RXS7VV30-6, n9j:-C8NQZ4GL-J ;
  skos:inScheme n9j: ;
  a skos:Concept .

n9j:-K8GG44BT-T
  skos:prefLabel "maximum likelihood estimation"@en ;
  a skos:Concept ;
  skos:broader n9j:-MW8R47ST-M .

n9j:-DFQ3T4M0-8
  skos:prefLabel "discrete values"@en ;
  a skos:Concept ;
  skos:broader n9j:-MW8R47ST-M .

n9j:-T815M1JS-M
  skos:prefLabel "sequential entry"@en ;
  a skos:Concept ;
  skos:broader n9j:-MW8R47ST-M .