On the effect of adding clinical samples to validation studies of patient-reported outcome item banks: a simulation study

Calibration and Validation of the Dutch-Flemish PROMIS Pain Interference Item Bank in Patients with Chronic Pain

(2015) Martine H. P. Crins et al.   PLoS One

mirt: A Multidimensional Item Response Theory Package for theREnvironment

(2015) R. Philip Chalmers   Journal of Statistical Software

Setting standards for severity of common symptoms in oncology using the PROMIS item banks and expert judgment

(2014) David Cella et al.   QUALITY OF LIFE RESEARCH

A proof of principle for using adaptive testing in routine Outcome Monitoring: the efficiency of the Mood and Anxiety Symptoms Questionnaire -Anhedonic Depression CAT

(2012) Niels Smits et al.   BMC Medical Research Methodology

The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008

(2010) David Cella et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Development of a PROMIS item bank to measure pain interference

(2010) Dagmar Amtmann et al.   PAIN

Evaluation of a computer-adaptive test for the assessment of depression (D-CAT) in clinical application

(2009) Herbert Fliege et al.   INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH

Development and psychometric analysis of the PROMIS pain behavior item bank

(2009) Dennis A. Revicki et al.   PAIN

Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items

(2009) Ron D. Hays et al.   QUALITY OF LIFE RESEARCH

Item Response Theory and Clinical Measurement

(2008) Steven P. Reise et al.   Annual Review of Clinical Psychology

An evaluation of patient-reported outcomes found computerized adaptive testing was efficient in assessing stress perception

(2008) Rüya-Daniela Kocalevent et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Classical latent variable models for medical research

(2007) Sophia Rabe-Hesketh et al.   STATISTICAL METHODS IN MEDICAL RESEARCH