Estimating the accuracy of psychological scales using longitudinal data.

Carolyn M. Rutter, Diana L Miglioretti

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This article presents a method for estimating the accuracy of psychological screening scales using receiver operating characteristic curves and associated statistics. Screening scales are typically semicontinuous within a known range with distributions that are nearly symmetric when the target condition is present and highly skewed when the condition is absent. We model screening scale outcomes using truncated normal distributions that accommodate these different distributional shapes and use subject-specific random effects to adjust for multiple assessments within individuals. Using the proposed model, we estimate the accuracy of the Symptom Checklist as a measure of major depression from a repeatedly screened sample of patients.

Original languageEnglish (US)
Pages (from-to)97-107
Number of pages11
JournalBiostatistics (Oxford, England)
Volume4
Issue number1
StatePublished - Jan 2003
Externally publishedYes

Fingerprint

Normal Distribution
Longitudinal Data
Checklist
ROC Curve
Screening
Psychology
Truncated Distributions
Receiver Operating Characteristic Curve
Random Effects
Gaussian distribution
Statistics
Target
Model
Estimate
Range of data
Psychological
Longitudinal data

ASJC Scopus subject areas

  • Medicine(all)
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

Estimating the accuracy of psychological scales using longitudinal data. / Rutter, Carolyn M.; Miglioretti, Diana L.

In: Biostatistics (Oxford, England), Vol. 4, No. 1, 01.2003, p. 97-107.

Research output: Contribution to journalArticle

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