Peter Fayers
Biographic Data
| ID | 4865311 |
|---|---|
| NAME | Peter Fayers |
| GIVEN NAMES | Peter |
| FAMILY NAME | Fayers |
| SIGNATURE | FAYERS P |
| AFFILIATIONS | University of Aberdeen |
| ORCID | 0000-0003-4778-1513 |
| VERIFIED | Yes |
| TOTAL WORKS | 33 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 33 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1997 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Do the unlabeled response categories of the Minnesota Living with Heart Failure Questionnaire satisfy the monotonicity assumption of simple-summated scoring
Consistency matters
Qlu-C10d
Using a discrete choice experiment to value the QLU-C10D
Testing the measurement invariance of the EORTC QLQ-C30 across primary cancer sites using multi-group confirmatory factor analysis
Don’t middle your MIDs
An evaluation of the response category translations of the EORTC QLQ-C30 questionnaire
It ain’t over till the fat lady sings”
Chad Gundy, the lead author on our manuscript, ''Comparing higher order models for the EORTC QLQ-C30,'' died this past August after a sustained battle with cancer. Chad continued to work on the paper throughout the period of his illness, responding to reviewers' comments and revising the manuscript to its near final form. Chad thoroughly enjoyed the challenge of the relatively complex work reported in our paper, as well as the on-going debate tha…
Comparing higher order models for the EORTC QLQ-C30
The Physical/Mental health model had the best fit of the higher order models considered, and enjoys empirical and theoretical support in comparable instruments and applications
Multi-centred mixed-methods Pepfar HIV care & support public health evaluation
This novel mixed methods protocol will permit transparent presentation of subsequent dataset results publication, and offers a substantive model of protocol design to measure and integrate key activities and outcomes that underpin a public health approach to disease management in a low-income setting
Development of computerized adaptive testing (CAT) for the EORTC QLQ-C30 physical functioning dimension
Meaning behind measurement
The practical impact of differential item functioning analyses in a health-related quality of life instrument
How to guarantee finding a statistically significant difference
Differential item functioning (DIF) in the EORTC QLQ-C30
A highly significant difference in baseline characteristics
The scales were highly correlated
Evaluating the effectiveness of using PROs in clinical practice
Quality of Life
Applying item response theory and computer adaptive testing
The use of differential item functioning analyses to identify cultural differences in responses to the EORTC QLQ-C30
Comparing translations of the EORTC QLQ-C30 using differential item functioning analyses
The Relationship Between Patient Knowledge of Hemoglobin Levels and Health-Related Quality of Life
Multidimensional Computerized Adaptive Testing of the EORTC QLQ-C30
Response to Commentary on Comparing translations of the EORTC QLQ-C30 using differential item functioning analyses
No prominent works on this page.
Causal indicators in quality of life research
Factor analysis, causal indicators and quality of life
Testing for differences in multiple quality of life dimensions
Quality of Life
It is limited gains in survival or cure as an end result of the treatment of terminal illness that has led to an increasing interest in the importance of Quality of Life elements of clinical research.
Understanding self-rated health
Use of differential item functioning analysis to assess the equivalence of translations of a questionnaire
Use of item response theory to develop a shortened version of the EORTC QLQ-C30 emotional functioning scale
Item Response Theory for Psychologists
The use of differential item functioning analyses to identify cultural differences in responses to the EORTC QLQ-C30
Comparing translations of the EORTC QLQ-C30 using differential item functioning analyses
The Relationship Between Patient Knowledge of Hemoglobin Levels and Health-Related Quality of Life
Multidimensional Computerized Adaptive Testing of the EORTC QLQ-C30
Response to Commentary on Comparing translations of the EORTC QLQ-C30 using differential item functioning analyses
Quality of Life
Applying item response theory and computer adaptive testing
A highly significant difference in baseline characteristics
The scales were highly correlated
Evaluating the effectiveness of using PROs in clinical practice
Meaning behind measurement
The practical impact of differential item functioning analyses in a health-related quality of life instrument
How to guarantee finding a statistically significant difference
Differential item functioning (DIF) in the EORTC QLQ-C30
Multi-centred mixed-methods Pepfar HIV care & support public health evaluation
This novel mixed methods protocol will permit transparent presentation of subsequent dataset results publication, and offers a substantive model of protocol design to measure and integrate key activities and outcomes that underpin a public health approach to disease management in a low-income setting
Development of computerized adaptive testing (CAT) for the EORTC QLQ-C30 physical functioning dimension
Comparing higher order models for the EORTC QLQ-C30
The Physical/Mental health model had the best fit of the higher order models considered, and enjoys empirical and theoretical support in comparable instruments and applications
Medicine (29 works) · Psychology (27 works) · Public health (25 works) · Quality of Life Research (24 works) · Clinical Psychology (15 works) · Nursing (15 works) · Quality of life (healthcare (15 works) · Psychometrics (13 works) · Statistics (13 works) · Cancer survivorship and care (12 works)