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Papers matching “statistical modeling” 346

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Lack of theory building and testing impedes progress in the factor and network literature
2020 preprint Psychology Mental Health Research Topics Open access

Eiko I. Fried

62

citations
WALD-EM: Wald Accumulation for Locations and Durations of Eye Movements
2020 preprint Computer Science Visual Attention and Saliency Detection Open access

Šimon Kucharský, Daan R. van Renswoude, Maartje E. J. Raijmakers, Ingmar Visser

0

citations
Towards reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning
2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neural dynamics and brain function Open access

Barna Zajzon, Renato Duarte, Abigail Morrison

5

citations
Navigating Fairness in AI-based Prediction Models: Theoretical Constructs and Practical Applications
2025 medRxiv preprint Social Sciences Ethics and Social Impacts of AI Open access

Siri Lise van der Meijden, Yuqing Wang, M. Sesmu Arbous, Bart F. Geerts, Ewout Willem Steyerberg, Tina Hernandez‐Boussard

5

citations
Methane emissions in the United States, Canada, and Mexico: Evaluation of national methane emission inventories and sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH 4 ObsPack) and satellite (GOSAT) atmospheric observations
2021 preprint Environmental Science Atmospheric and Environmental Gas Dynamics Open access

Xiao Hui Lu, Daniel J. Jacob, Haolin Wang, Joannes D. Maasakkers, Yuzhong Zhang, Tia R. Scarpelli, +15 more

3

citations
The Generalizability of Clinical Prediction Models for Patients with Acute Coronary Syndromes: Results from Independent External Validations
2021 medRxiv preprint Mathematics Statistical Methods in Epidemiology Open access

Benjamin S. Wessler, Jason Nelson, Jinny G. Park, Hannah L. McGinnes, Jenica N. Upshaw, Ben Van Calster, +3 more

0

citations
Assessing performance and clinical usefulness in prediction models with survival outcomes: practical guidance for Cox proportional hazards models
2022 medRxiv preprint Mathematics Statistical Methods in Epidemiology Open access

David J. McLernon, Daniele Giardiello, Ben Van Calster, Laure Wynants, Nan van Geloven, Maarten van Smeden, +2 more

15

citations
Multiscale Shakedown-Reliability Based Strength Prediction of Additively Manufactured Parts
2023 SSRN Electronic Journal preprint Decision Sciences Probabilistic and Robust Engineering Design Open access

Geng Chen, Shengzhen Xin, Lele Zhang, Min Chen, Christian Gebhardt

0

citations
Adaptive sample size determination for the development of clinical prediction models
2020 Research Square preprint Mathematics Statistical Methods in Epidemiology Open access

Evangelia Christodoulou, Maarten van Smeden, Michael Edlinger, Dirk Timmerman, Maria M. Wanitschek, Ewout Willem Steyerberg, +1 more

1

citations
Deriving models of change with interpretable parameters: linear estimation with nonlinear inference
2023 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Ethan Michael McCormick

4

citations
Almost significant: trends and P values in the use of phrases describing marginally significant results in 567,758 randomized controlled trials published between 1990 and 2020
2021 medRxiv preprint Decision Sciences Meta-analysis and systematic reviews Open access

Willem M. Otte, Christiaan H. Vinkers, Philippe C. Habets, David G.P. van IJzendoorn, Joeri K. Tijdink

7

citations
TwoTimeScales: An R-package for Smoothing Hazards with Two Time Scales
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Angela Carollo, Paul H.C. Eilers, Hein Putter, Jutta Gampe

0

citations
Optimal Two-Time Point Longitudinal Models for Estimating Individual-Level Change: Asymptotic Insights and Practical Implications
2024 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Andreas M. Brandmaier, Ulman Lindenberger, Ethan Michael McCormick

1

citations
Meeting, coalescence and consensus time on random directed graphs
2023 arXiv (Cornell University) preprint Mathematics Stochastic processes and statistical mechanics Open access

Luca Avena, Federico Capannoli, Rajat Subhra Hazra, Matteo Quattropani

0

citations
3D Shape Generation with Grid-based Implicit Functions
2021 arXiv (Cornell University) preprint Engineering 3D Shape Modeling and Analysis Open access

Moritz Ibing, Isaak Lim, Leif P. Kobbelt

0

citations
A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models
2020 arXiv (Cornell University) preprint Mathematics Probability and Statistical Research Open access

Niklas Maltzahn, Rune Hoff, Odd O. Aalen, Ingrid Sivesind Mehlum, Hein Putter, Jon Michael Gran

1

citations
Clinical Prediction Models for Primary Prevention of Cardiovascular Disease: Validity in Independent Cohorts
2021 medRxiv preprint Medicine Health Promotion and Cardiovascular Prevention Open access

Gaurav Gulati, Riley Brazil, Jason Nelson, David V. Klaveren, Christine M. Lundquist, Jinny G. Park, +5 more

0

citations
External validation of risk scores to predict in-hospital mortality in patients hospitalized due to coronavirus disease 2019
2022 medRxiv preprint Medicine COVID-19 Clinical Research Studies Open access

Shermarke Hassan, Chava L. Ramspek, Barbara Ferrari, Merel van Diepen, Raffaella Rossio, Rachel Knevel, +12 more

2

citations
Factorized Structured Regression for Large-Scale Varying Coefficient Models
2022 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

David Rügamer, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, +1 more

1

citations
A unified approach for testing in Hilbert spaces on incomplete data
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Daniel Gaigall, Philipp Wübbolding

0

citations
Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection
2020 medRxiv preprint Medicine COVID-19 Clinical Research Studies Open access cited by 14 patents

Laure Wynants, Ben Van Calster, Marc J. M. Bonten, Professor Gary S. Collins, Thomas P. A. Debray, Maarten De Vos, +10 more

152

citations
Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study (Preprint)
2020 preprint Medicine COVID-19 Clinical Research Studies Open access

Jenna Reps, Chungsoo Kim, Ross D. Williams, Aniek F. Markus, Cynthia Barcelon Yang, Talita Duarte‐Salles, +31 more

0

citations
Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting
2026 arXiv (Cornell University) preprint Computer Science Neural Networks and Reservoir Computing Open access

Rahul Goswami, Shinjini Paul, Palash Ghosh, Tanujit Chakraborty

0

citations
Image-Based Meta- and Mega-Analysis (IBMMA): A Unified Framework for Large-Scale, Multi-Site, Neuroimaging Data Analysis
2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Functional Brain Connectivity Studies Open access

Rajendra A. Morey, Ahmed Tafsirul Hussain, Courtney E. Russell, Benjamin Suarez‐Jimenez, Elena Pozzi, Hadis Jameei, +87 more

1

citations
Predictive accuracy of computer-aided versions of the on-admission National Early Warning Score in estimating the risk of COVID-19 for unplanned admission to hospital: a retrospective development and validation study
2020 medRxiv preprint Medicine COVID-19 Clinical Research Studies Open access

Muhammad Faisal, Mohammed A Mohammed, Donald Richardson, Ewout Willem Steyerberg, Massimo Fiori, Kevin Beatson

0

citations