Kenneth J. Nieser
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View article: REMLA: An R package for robust expectation-maximization estimation for latent variable models
REMLA: An R package for robust expectation-maximization estimation for latent variable models Open
Factor analysis is a widely used statistical method for describing a large number of observed, correlated variables in terms of a smaller number of unobserved variables. Applications of this method usually impose the same latent variable m…
View article: Legal-involved veterans are less likely to receive guideline-concordant colorectal cancer screening
Legal-involved veterans are less likely to receive guideline-concordant colorectal cancer screening Open
Background Programs to improve health care for adults with criminal legal involvement, including those who have been released from incarceration in jails or prisons or who are under court or community supervison, understandably focus on tr…
View article: Landscape of Consensus-Based Entity-Endorsed Perioperative Quality Measures
Landscape of Consensus-Based Entity-Endorsed Perioperative Quality Measures Open
Objective: Healthcare quality measures have a central role in monitoring and incentivizing the quality of surgical care. Payors and other stakeholders rely on consensus-based entities (CBEs) for the rigorous, independent evaluation and end…
View article: Differences across race and ethnicity in the quality of antidepressant medication management
Differences across race and ethnicity in the quality of antidepressant medication management Open
Objective To illustrate the importance of a multidimensional view of disparities in quality of antidepressant medication management (AMM), as well as discriminating “within‐facility” disparities from disparities that exist between faciliti…
View article: Split‐sample reliability estimation in health care quality measurement: Once is not enough
Split‐sample reliability estimation in health care quality measurement: Once is not enough Open
Objective To examine the sensitivity of split‐sample reliability estimates to the random split of the data and propose alternative methods for improving the stability of the split‐sample method. Data Sources and Study Setting Data were sim…
View article: REMLA: Robust Expectation-Maximization Estimation for Latent Variable Models
REMLA: Robust Expectation-Maximization Estimation for Latent Variable Models Open
Traditional latent variable models assume that the population is homogeneous, meaning that all individuals in the population are assumed to have the same latent structure.However, this assumption is often violated in practice given that in…
View article: Differential Effects of an Emergency Department-to-Home Care Transitions Intervention in an Older Adult Population
Differential Effects of an Emergency Department-to-Home Care Transitions Intervention in an Older Adult Population Open
Background: Older adults frequently return to the emergency department (ED) within 30 days of a visit. High-risk patients can differentially benefit from transitional care interventions. Latent class analysis (LCA) is a model-based method …
View article: Detection of differential depressive symptom patterns in a cohort of perinatal women: an exploratory factor analysis using a robust statistics approach
Detection of differential depressive symptom patterns in a cohort of perinatal women: an exploratory factor analysis using a robust statistics approach Open
There are no funding sources to declare.
View article: Addressing heterogeneous populations in latent variable settings through robust estimation.
Addressing heterogeneous populations in latent variable settings through robust estimation. Open
Individuals routinely differ in how they present with psychiatric illnesses and in how they respond to treatment. This heterogeneity, when overlooked in data analysis, can lead to misspecified models and distorted inferences. While several…
View article: Gene-set Enrichment with Mathematical Biology (GEMB)
Gene-set Enrichment with Mathematical Biology (GEMB) Open
Background Gene-set analyses measure the association between a disease of interest and a “set" of genes related to a biological pathway. These analyses often incorporate gene network properties to account for differential contributions of …
View article: Gene-Set Enrichment with Mathematical Biology
Gene-Set Enrichment with Mathematical Biology Open
Gene-set analyses measure the association between a disease of interest and a set of genes related to a biological pathway. These analyses often incorporate gene network properties to account for the differential contributions of each gene…