Carolyn M Ervin
Biographic Data
| ID | 7873721 |
|---|---|
| NAME | Carolyn M Ervin |
| GIVEN NAMES | Carolyn M |
| FAMILY NAME | Ervin |
| SIGNATURE | ERVIN C M |
| AFFILIATIONS | BioRealm LLC 19330 Rim of the World Dr, Monument, CO |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Bayesian Machine Learning Tools for Alcohol Use Disorder Research
Alcohol use disorder (AUD) research faces significant challenges in capturing individual heterogeneity and complex temporal patterns in drinking behaviors. Standard statistical methods fail to account for within-person variability and between-person differences, while existing machine learning algorithms are not designed for hierarchical, longitudinal data structures common in AUD research. We developed a comprehensive R package implementing 30 B…
Effects of Buprenorphine Dose and Therapeutic Engagement on Illicit Opiate Use in Opioid Use Disorder Treatment Trials
The impact of agonist dose and of physician, staff and patient engagement on treatment have not been evaluated together in an analysis of treatment for opioid use disorder. Our hypotheses were that greater agonist dose and therapeutic engagement would be associated with reduced illicit opiate use in a time-dependent manner. Publicly-available treatment data from six buprenorphine efficacy and safety trials from the Federally-supported Clinical Tr…
No prominent works on this page.
Effects of Buprenorphine Dose and Therapeutic Engagement on Illicit Opiate Use in Opioid Use Disorder Treatment Trials
The impact of agonist dose and of physician, staff and patient engagement on treatment have not been evaluated together in an analysis of treatment for opioid use disorder. Our hypotheses were that greater agonist dose and therapeutic engagement would be associated with reduced illicit opiate use in a time-dependent manner. Publicly-available treatment data from six buprenorphine efficacy and safety trials from the Federally-supported Clinical Tr…
Bayesian Machine Learning Tools for Alcohol Use Disorder Research
Alcohol use disorder (AUD) research faces significant challenges in capturing individual heterogeneity and complex temporal patterns in drinking behaviors. Standard statistical methods fail to account for within-person variability and between-person differences, while existing machine learning algorithms are not designed for hierarchical, longitudinal data structures common in AUD research. We developed a comprehensive R package implementing 30 B…
Substance Abuse Treatment and Outcomes (2 works) · Alcohol consumption (1 work) · Alcohol use disorder (1 work) · Bayesian Methods and Mixture Models (1 work) · Bayesian network (1 work) · Bayesian probability (1 work) · Buprenorphine (1 work) · Correlation (1 work) · Drug (1 work) · Illicit drug (1 work)