Applied Methods for Estimating Transition Probabilities from Electronic Health Record Data.
| Author | |
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| 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
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| Journal | :
Medical decision making : an international journal of the Society for Medical Decision Making
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| Volume | :
41
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| Issue | :
2
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| Number of Pages | :
143-152
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| ISSN Number | :
0272-989X
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| 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
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| DOI | :
10.1177/0272989X20985752
|
| Short Title | :
Med Decis Making
|
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