Notice
10 Predictive validity of a diagnostic test
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Descriptif
Once a diagnostic test has been completed and characterized by its intrinsic validity parameters, the question arises about the predictive capacity of its result. In other words, what is the likelihood of the test result predicting the presence or absence of the desired phenomenon? An example of a cross-sectional population study describes how to build and interpret such a table based on three pieces of information: Sensitivity, specificity and the prevalence rate of the phenomenon in the population to which the tested individual belongs. The Bayes theorem demonstrates that the calculation of positive and negative predictive values is also determined by this prevalence rate.
Thème
Avec les mêmes intervenants et intervenantes
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1 Distribution des valeurs de multiples échantillons
GayFrédérickEchantillons, Distribution Normale, Moyenne d’une population, p-value
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1 Distribution of multiple sample values
GayFrédérickSamples, Normal Distribution, Average of a population, p-value
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2 Un échantillon provient-il de cette population ?
GayFrédérickComparaison d’un échantillon à une norme, Hypothèse nulle (HO), Hypothèse alternative (H1), Risque alpha, p-value
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2 Does a sample come from this population?
GayFrédérickComparison of a sample to a norm, Null hypothesis (HO), Alternative hypothesis (H1), Alpha risk, p-value
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3 Deux échantillons proviennent-ils ou pas de la même population ?
GayFrédérickComparaison de 2 échantillons, Hypothèse nulle (H0), Hypothèse alternative (H1), Risque alpha, p-value
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3 Do two samples come from the same population or not?
GayFrédérickComparison of 2 samples, Null hypothesis (H0), Alternative hypothesis (H1), Alpha risk, p-value
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4 Comment poser ses hypothèses ?
GayFrédérickTest d’hypothèse, Hypothèse nulle (H0), Hypothèse alternative (H1), Risque alpha, p-value, Test bilatéral, Test unilatéral
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4 How do you make hypotheses ?
GayFrédérickHypothesis test, Null hypothesis (H0), Alternative hypothesis (H1), Alpha risk, p-value, Bilateral test, Unilateral test
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6 Comment se présentent vos données ?
GayFrédérickIndividus statistiques, Variables, Types de variable, Tableau individus-variables, Tableau de contingence
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6 How does your data look?
GayFrédérickStatistical individuals, Variables, Variable types, Individual-variable table, Contingency table
