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

n9j:-CBR4MGWS-J
  owl:sameAs <https://concepts.sagepub.com/social-science/concept/conditional_probability> ;
  skos:definition "Conditional probability is a mathematical description of the likelihood that a particular event will take place given the occurrence of a particular precursor event. Thus the probability of occurrence of event A is conditional on the probability of the prior occurrence of event B. Conditional probability is expressed as P (A\\\\B), which is read as “the probability of A given B.” In order to calculate the conditional probability of an event, there must be a priori knowledge of both the probability that the first of the events will occur and the probability that both events will occur together. [Source: Encyclopedia of Measurement and Statistics; Conditional Probability]"@en ;
  a skos:Concept ;
  skos:inScheme n9j: ;
  skos:broader n9j:-G7BMRN8T-T, n9j:-Q78M8VWZ-3 ;
  skos:prefLabel "conditional probability"@en .

n9j:-methods
  a isothes:ConceptGroup ;
  skos:prefLabel "methods"@en ;
  skos:member n9j:-CBR4MGWS-J .

n9j: a skos:ConceptScheme .
n9j:-Q78M8VWZ-3
  skos:prefLabel "biostatistics and clinical epidemiology"@en ;
  a skos:Concept ;
  skos:narrower n9j:-CBR4MGWS-J .

n9j:-G7BMRN8T-T
  skos:prefLabel "Bayesian inference"@en ;
  a skos:Concept ;
  skos:narrower n9j:-CBR4MGWS-J .