Applied Methods for Estimating Transition Probabilities from Electronic Health Record Data.
| Author | |
|---|---|
| Abstract |
:
Electronic health record (EHR) data contain longitudinal patient information and standardized diagnostic codes. EHR data may be useful for estimating transition probabilities for state-transition models, but no guidelines exist on appropriate methods. We applied 3 potential methods to estimate transition probabilities from EHR data, using pediatric eating disorders (EDs) as a case study. |
| Year of Publication |
:
2021
|
| Journal |
:
Medical decision making : an international journal of the Society for Medical Decision Making
|
| Volume |
:
41
|
| Issue |
:
2
|
| Number of Pages |
:
143-152
|
| ISSN Number |
:
0272-989X
|
| URL |
:
https://journals.sagepub.com/doi/10.1177/0272989X20985752?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%3dpubmed
|
| DOI |
:
10.1177/0272989X20985752
|
| Short Title |
:
Med Decis Making
|
| Download citation |
