Yesterday, the PRO scoring webinar took place. Find my slides and a recording of the talk here. Feel free to get in touch if you have questions on the material.
Purpose: In developing item banks for patient reported outcomes (PROs), nonparametric techniques are often used for investigating empirical item response curves, whereas final banks usually use parsimonious parametric models. A flexible approach …
Carl Falk from McGill University in Montreal, Canada and I investigated the use of a more flexible IRT model to fit the PROMIS Physical Function Itembank. The paper has been now published in Quality of Life Research’s nonparametric IRT section.
Today, we published PROMIS Profile 29 data from the general population in the UK, Germany and France at the Health Measures Dataverse. We hope that this data can be of use, e.
I held the webinar yesterday and there was quite some turnout. Unfortunately, the technology failed and i couldn’t record the webinar. Find my slides here, though!
Feel free to get in touch if you have questions on the material.
A nice thing about virtual conferences is that talks can be easily recorded and shared after the conference.
At last years PHO i presented a work i did with my colleague Carl Falk from McGill University in Montreal.
There are a growing number of item response theory (IRT) studies that calibrate different patient-reported outcome (PRO) measures, such as anxiety, depression, physical function, and pain, on common, instrument-independent metrics. In the case of …