An IRT mixture model to correct prevalence bias from censored binary indicators: application to lifetime mental health comorbidity in the ESEMeD surveys

Carlos G. Forero; Josue Almansa; Gemma Vilagut; Jordi Alonso

An IRT mixture model to correct prevalence bias from censored binary indicators: application to lifetime mental health comorbidity in the ESEMeD surveys

Carlos G. Forero, Josue Almansa, Gemma Vilagut, Jordi Alonso

Faculty of Medical Sciences/UMCG

Research output: Contribution to journal › Meeting Abstract › Academic

Original language	English
Pages (from-to)	41-42
Number of pages	2
Journal	Quality of Life Research
Volume	21
Publication status	Published - Oct-2012
Event	ISOQOL 19th Annual Conference - Budapest Duration: 24-Oct-2017 → 27-Oct-2017 http://www.isoqol.org/2012conference/

Handle.net

Persistent link

Cite this

@article{9fa0ef57542045a4a14bd1451ea93327,

title = "An IRT mixture model to correct prevalence bias from censored binary indicators: application to lifetime mental health comorbidity in the ESEMeD surveys",

author = "Forero, {Carlos G.} and Josue Almansa and Gemma Vilagut and Jordi Alonso",

year = "2012",

month = oct,

language = "English",

volume = "21",

pages = "41--42",

journal = "Quality of Life Research",

issn = "0962-9343",

publisher = "Springer",

note = "ISOQOL 19th Annual Conference ; Conference date: 24-10-2017 Through 27-10-2017",

url = "http://www.isoqol.org/2012conference/",

}

TY - JOUR

T1 - An IRT mixture model to correct prevalence bias from censored binary indicators

T2 - ISOQOL 19th Annual Conference

AU - Forero, Carlos G.

AU - Almansa, Josue

AU - Vilagut, Gemma

AU - Alonso, Jordi

PY - 2012/10

Y1 - 2012/10

M3 - Meeting Abstract

SN - 0962-9343

VL - 21

SP - 41

EP - 42

JO - Quality of Life Research

JF - Quality of Life Research

Y2 - 24 October 2017 through 27 October 2017

ER -