What is he best known for?
The fields of study he is best known for:
- Statistics
- Internal medicine
- Disease
Gerontology, Item response theory, Psychometrics, Computerized adaptive testing and Clinical psychology are his primary areas of study.
Jakob B. Bjorner interconnects Cohort study, Cross-sectional study, Demography, Cross-cultural studies and Risk factor in the investigation of issues within Gerontology.
His Item response theory study combines topics from a wide range of disciplines, such as Physical therapy, Activities of daily living, Patient-Reported Outcomes Measurement Information System and Migraine.
His studies in Psychometrics integrate themes in fields like Differential item functioning, Data quality, Quality of life and Psychosocial factor.
Jakob B. Bjorner combines subjects such as Standard error, Applied psychology and Item bank with his study of Computerized adaptive testing.
His studies deal with areas such as Construct validity and Mental health as well as Public health.
His most cited work include:
- Cross-Validation of Item Selection and Scoring for the SF-12 Health Survey in Nine Countries: Results from the IQOLA Project (1998 citations)
- Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). (936 citations)
- A six-item short-form survey for measuring headache impact: The HIT-6? (642 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Item response theory, Gerontology, Clinical psychology, Internal medicine and Physical therapy.
His Item response theory research includes elements of Computerized adaptive testing, Psychiatry and Psychometrics.
The subject of his Psychometrics research is within the realm of Statistics.
His study in Gerontology is interdisciplinary in nature, drawing from both Psychosocial, Job strain, Demography, Cross-cultural studies and Risk factor.
His Clinical psychology research incorporates themes from Construct validity, Reliability and Differential item functioning.
His study in the field of Quality of life and SF-36 is also linked to topics like In patient.
He most often published in these fields:
- Item response theory (19.06%)
- Gerontology (17.99%)
- Clinical psychology (15.11%)
What were the highlights of his more recent work (between 2018-2021)?
- Mental health (8.63%)
- Internal medicine (13.31%)
- Demography (12.95%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Mental health, Internal medicine, Demography, Quality of life and Confidence interval.
His Mental health study incorporates themes from Item response theory, Preference, Clinical psychology and Quality of life.
His Item response theory research is multidisciplinary, incorporating elements of Psychological intervention and Psychometrics.
His study focuses on the intersection of Psychometrics and fields such as Test with connections in the field of Reliability.
The concepts of his Quality of life study are interwoven with issues in Recall, Patient-reported outcome, Thyroid, Physical therapy and Prostate cancer.
The various areas that Jakob B. Bjorner examines in his Confidence interval study include Epidemiology, Cohort and Risk factor.
Between 2018 and 2021, his most popular works were:
- Association of Healthy Lifestyle With Years Lived Without Major Chronic Diseases (28 citations)
- The Danish Psychosocial Work Environment Questionnaire (DPQ): Development, content, reliability and validity. (12 citations)
- Developing a New Version of the SF-6D Health State Classification System From the SF-36v2: SF-6Dv2. (11 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Internal medicine
- Disease
His primary scientific interests are in Mental health, Internal medicine, Item response theory, Quality of life and Clinical psychology.
His research integrates issues of Quality of life and Cognitive psychology, Set in his study of Mental health.
His Item response theory research is multidisciplinary, relying on both Regression analysis, Actuarial science and Random effects model.
His work deals with themes such as Major depressive disorder and Major Depression Inventory, which intersect with Quality of life.
His study looks at the relationship between Clinical psychology and topics such as Content validity, which overlap with Validity.
His biological study spans a wide range of topics, including Rasch model and Psychometrics.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
