Corissa T Rohloff
Biographic Data
| ID | 5222487 |
|---|---|
| NAME | Corissa T Rohloff |
| GIVEN NAMES | Corissa T |
| FAMILY NAME | Rohloff |
| SIGNATURE | ROHLOFF C T |
| AFFILIATIONS | University of Minnesota |
| ORCID | 0000-0003-3228-4653 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Effects of an Afrocentric Sexual Health Education Curriculum for Medical, Nursing, and Midwifery Students in Tanzania
Sub-Saharan Africa has the world’s highest rates of sexual health challenges. Yet, sexual health curricula for health students are rare. To advance research on the effects of such a curricula, we conducted the first randomized controlled trial of a sexual health curriculum for health students. “Training for Health Professionals” was a randomized, controlled, single-blind, trial conducted in Tanzania. In 2021, 412 nursing, midwifery, and medical s…
Model Fit Indices for Random Effects Models
The latent growth curve modeling (LGM) and random effects modeling (REM) frameworks are analytically and empirically equivalent for intrinsically linear models and used interchangeably for intrinsically nonlinear models. However, while LGM provides overall model fit indices, REM does not. Overall model fit indices are useful because they evaluate how well a specified model fits data. This paper proposes to translate model fit concepts from LGM to…
The Impact of Functional Form Complexity on Model Overfitting for Nonlinear Mixed-Effects Models
Nonlinear mixed-effects models (NLMEMs) allow researchers to model curvilinear patterns of growth, but there is ambiguity as to what functional form the data follow. Often, researchers fit multiple nonlinear functions to data and use model selection criteria to decide which functional form fits the data "best." Frequently used model selection criteria only account for the number of parameters in a model but overlook the complexity of intrinsicall…
No prominent works on this page.
Model Fit Indices for Random Effects Models
The latent growth curve modeling (LGM) and random effects modeling (REM) frameworks are analytically and empirically equivalent for intrinsically linear models and used interchangeably for intrinsically nonlinear models. However, while LGM provides overall model fit indices, REM does not. Overall model fit indices are useful because they evaluate how well a specified model fits data. This paper proposes to translate model fit concepts from LGM to…
The Impact of Functional Form Complexity on Model Overfitting for Nonlinear Mixed-Effects Models
Nonlinear mixed-effects models (NLMEMs) allow researchers to model curvilinear patterns of growth, but there is ambiguity as to what functional form the data follow. Often, researchers fit multiple nonlinear functions to data and use model selection criteria to decide which functional form fits the data "best." Frequently used model selection criteria only account for the number of parameters in a model but overlook the complexity of intrinsicall…
Effects of an Afrocentric Sexual Health Education Curriculum for Medical, Nursing, and Midwifery Students in Tanzania
Sub-Saharan Africa has the world’s highest rates of sexual health challenges. Yet, sexual health curricula for health students are rare. To advance research on the effects of such a curricula, we conducted the first randomized controlled trial of a sexual health curriculum for health students. “Training for Health Professionals” was a randomized, controlled, single-blind, trial conducted in Tanzania. In 2021, 412 nursing, midwifery, and medical s…
Computer Science (2 works) · Econometrics (2 works) · Mathematics (2 works) · Spatial and Panel Data Analysis (2 works) · Statistical Methods and Bayesian Inference (2 works) · Statistics (2 works) · Adolescent Sexual and Reproductive Health (1 work) · Algorithm (1 work) · Ambiguity (1 work) · Applied Mathematics (1 work)