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Papers matching “statistical modeling” 41

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The Hitchhiker’s Guide to Longitudinal Models: A Primer on Model Selection for Repeated-Measures Methods
2021 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Ethan Michael McCormick, Michelle L. Byrne, John Coleman Flournoy, Kathryn L. Mills, Jennifer H. Pfeifer

10

citations
Bayesian Hierarchical Modeling: An Introduction and Reassessment
2022 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Myrthe Veenman, Angelika Marlene Stefan, Julia M. Haaf

5

citations
Opportunities for more powerful statistical analyses of ordinal scales: A scoping review of neurological trials
2024 medRxiv preprint Mathematics Statistical Methods in Clinical Trials Open access

Yongxi Long, Sophie C. de Ruiter, Linda W.G. Luijten, Eveline Wiegers, Diederik W.J. Dippel, Pieter A. van Doorn, +2 more

2

citations
How should we model the effect of "change" - or should we?
2023 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Ethan Michael McCormick, Daniel J. Bauer

0

citations
Individualized treatment effect was predicted best by modeling baseline risk in interaction with treatment assignment
2022 arXiv (Cornell University) preprint Mathematics Statistical Methods in Clinical Trials Open access

Alexandros Rekkas, Peter R. Rijnbeek, David M. Kent, Ewout Willem Steyerberg, David V. Klaveren

0

citations
Empirical Evidence That There Is No Such Thing As A Validated Prediction Model
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods in Epidemiology Open access

Florian D. van Leeuwen, Ewout Willem Steyerberg, David V. Klaveren, Ben Wessler, David M. Kent, Erik W. van Zwet

1

citations
Extreme data compression for Bayesian model comparison
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Bayesian Inference Open access

Alan Heavens, Arrykrishna Mootoovaloo, Roberto Trotta, Elena Sellentin

0

citations
ForwardFlow: Simulation only statistical inference using deep learning
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Stefan Böhringer

0

citations
Identifying summary statistics for approximate Bayesian computation in a phylogenetic island biogeography model
2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Shu Xie, Luís Valente, Rampal S. Etienne

1

citations
A roadmap to using randomization in clinical trials
2021 Research Square preprint Mathematics Statistical Methods in Clinical Trials Open access

Vance W. Berger, Louis Bour, Kerstine Carter, Jonathan Chipman, Colin Charles Everett, Nicole Maria Heussen, +7 more

1

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
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
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
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
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
Critique of "Use of roster charts in the investigation and prosecution of nurses ..." by John O' Quigley
2026 arXiv (Cornell University) preprint Mathematics Benford’s Law and Fraud Detection Open access

Richard David Gill

0

citations
Interrupted mediation: A cautionary note on using derived metrics as intervening variables in path models
2022 preprint Mathematics Advanced Causal Inference Techniques Open access

Ethan Michael McCormick, Gesa Sophia Borgeest, Rogier Kievit

3

citations
A comparison of methods for Poisson regression in the presence of background
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Bayesian Inference Open access

Massimiliano Bonamente, Vinay L. Kashyap, Xiaoli Li, J. de Plaa

0

citations
A comparison of methods for Poisson regression in the presence of background
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Bayesian Inference Open access

Massimiliano Bonamente, Vinay L. Kashyap, J. de Plaa

0

citations
Smooth Reduced Rank Regression with P-splines
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Mark de Rooij

0

citations
Imputation strategies for missing baseline neurological assessment covariates after traumatic brain injury: A CENTER-TBI study
2021 medRxiv preprint Mathematics Statistical Methods and Bayesian Inference Open access

Ari Ercole, Abhishek Dixit, David Nelson, Frederick Adam Zeiler, Daan Nieboer, Omar Bouamra, +7 more

2

citations