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Forecasting

Choosing between AR(1) and VAR(1) models in typical psychological applications

Fabian Dablander, Oisín Ryan, Jonas M. B. Haslbeck

People with diabetes need a lower cut-off than others for depression screening with PHQ-9

Ewelina Cichoń, Andrzej Kiejna, [ ... ], Norman Sartorius

Association between serum uric acid and spirometric pulmonary function in Korean adults: The 2016 Korea National Health and Nutrition Examination Survey

Jae Won Hong, Jung Hyun Noh, Dong-Jun Kim

Predisaster predictors of posttraumatic stress symptom trajectories: An analysis of low-income women in the aftermath of Hurricane Katrina

Sarah R. Lowe, Ethan J. Raker, Mary C. Waters, Jean E. Rhodes

Selecting the best machine learning algorithm to support the diagnosis of Non-Alcoholic Fatty Liver Disease: A meta learner study

Paolo Sorino, Maria Gabriella Caruso, [ ... ], MICOL Group

Comparison of censoring assumptions to reduce bias in tuberculosis treatment cohort analyses

Meredith B. Brooks, Carole D. Mitnick, Justin Manjourides

Research on prediction of residual deformation in goaf of steeply inclined extra–thick coal seam

Changfu Huang, Qun Li, Shuguang Tian

Predicting hypertension using machine learning: Findings from Qatar Biobank Study

Latifa A. AlKaabi, Lina S. Ahmed, Maryam F. Al Attiyah, Manar E. Abdel-Rahman

Risk of cardiac events with azithromycin—A prediction model

Haridarshan Patel, Robert J. DiDomenico, [ ... ], Todd A. Lee

A bivariate prediction approach for adapting the health care system response to the spread of COVID-19

Paolo Berta, Paolo Paruolo, Stefano Verzillo, Pietro Giorgio Lovaglio

Modeling and comparing data mining algorithms for prediction of recurrence of breast cancer

Alireza Mosayebi, Barat Mojaradi, Ali Bonyadi Naeini, Seyed Hamid Khodadad Hosseini

The development of an alternative growth chart for estimated fetal weight in the absence of ultrasound: Application in Indonesia

Dewi Anggraini, Mali Abdollahian, Kaye Marion

Prediction of child and adolescent outcomes with broadband and narrowband dimensions of internalizing and externalizing behavior using the child and adolescent version of the Strengths and Difficulties Questionnaire

Pawel R. Kulawiak, Jürgen Wilbert, Robert Schlack, Moritz Börnert-Ringleb

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