Adaptive Classification Methods for Predicting Transitions in the Nursing Workforce

ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.net/journal/ojs
E-mail: [email protected]

Citations

"Adaptive Classification Methods for Predicting Transitions in the Nursing Workforce"
written by George J. Knafl, Mark Toles, Anna S. Beeber, Cheryl B. Jones,
published by Open Journal of Statistics, Vol.8 No.3, 2018

has been cited by the following article(s):

[1]	Standard GEE Modeling of Correlated Univariate Outcomes
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[2]	Where are the critical care nurses? A statewide analysis of actively practicing nurses' transitions out of the clinical area
	Nursing Outlook, 2023

[3]	Critical Care Registered Nurse Transitions: A Life Course Perspective
	2020

[1]	Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling 2026 DOI:10.1007/978-3-032-00989-0_2

[2]	Where are the critical care nurses? A statewide analysis of actively practicing nurses’ transitions out of the clinical area Nursing Outlook, 2023 DOI:10.1016/j.outlook.2023.101947

[3]	Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling 2023 DOI:10.1007/978-3-031-41988-1_2