Eric Krüger
Biographic Data
| ID | 5042644 |
|---|---|
| NAME | Eric Krüger |
| GIVEN NAMES | Eric |
| FAMILY NAME | Krüger |
| SIGNATURE | KRUGER E |
| AFFILIATIONS | University of New Mexico |
| ORCID | 0000-0002-7663-1373 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Proportional Trends in Pediatric Opioid Prescribing Between 2005 and 2016 by Age Group, Sex, Ethnicity, Race, Language, and Payer Status from a Large Children’s Hospital in the Southwest United States
These findings reveal differing trends in pediatric opioid prescribing during the peak of the opioid epidemic, highlighting the importance of considering age and sociodemographic variables for understanding prescribing patterns fully and raising potential concerns about inequities in pain management. Future studies should explore similar trends from 2016 onward
An R Shiny App for Sensitivity Analysis for Latent Growth Curve Mediation
Mechanisms of behavior change are the processes through which interventions are hypothesized to cause changes in outcomes. Latent growth curve mediation models (LGCMM) are recommended for investigating the mechanisms of behavior change because LGCMM models establish temporal precedence of change from the mediator to the outcome variable. The Correlated Augmented Mediation Sensitivity Analyses (CAMSA) App implements sensitivity analysis for LGCMM …
Latent Class Mediation
Latent class mediation modeling is designed to estimate the mediation effect when both the mediator and the outcome are latent class variables. We suggest using an adjusted one-step approach in which the latent class models for the mediator and the outcome are estimated first to decide on the number of classes, then the latent class models and the mediation model are jointly estimated. We present both an empirical demonstration and a simulation s…
No prominent works on this page.
Latent Class Mediation
Latent class mediation modeling is designed to estimate the mediation effect when both the mediator and the outcome are latent class variables. We suggest using an adjusted one-step approach in which the latent class models for the mediator and the outcome are estimated first to decide on the number of classes, then the latent class models and the mediation model are jointly estimated. We present both an empirical demonstration and a simulation s…
An R Shiny App for Sensitivity Analysis for Latent Growth Curve Mediation
Mechanisms of behavior change are the processes through which interventions are hypothesized to cause changes in outcomes. Latent growth curve mediation models (LGCMM) are recommended for investigating the mechanisms of behavior change because LGCMM models establish temporal precedence of change from the mediator to the outcome variable. The Correlated Augmented Mediation Sensitivity Analyses (CAMSA) App implements sensitivity analysis for LGCMM …
Proportional Trends in Pediatric Opioid Prescribing Between 2005 and 2016 by Age Group, Sex, Ethnicity, Race, Language, and Payer Status from a Large Children’s Hospital in the Southwest United States
These findings reveal differing trends in pediatric opioid prescribing during the peak of the opioid epidemic, highlighting the importance of considering age and sociodemographic variables for understanding prescribing patterns fully and raising potential concerns about inequities in pain management. Future studies should explore similar trends from 2016 onward
Econometrics (2 works) · Latent variable (2 works) · Latent variable model (2 works) · Mathematics (2 works) · Mediation (2 works) · Statistics (2 works) · Structural equation modeling (2 works) · Advanced Causal Inference Techniques (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work)