Improving survival predictions in medicine with new statistical methods.
Jing Qin, Jin Piao, Jing Ning
― 5 min read
Statistics - Methodology
RSSUnderstanding infer-and-widen and split-and-condition for improved statistical conclusions.
Ronan Perry, Zichun Xu, Olivia McGough
― 6 min read
New method streamlines analysis of complex data in generalized linear models.
Xingyu Chen, Lin Liu, Rajarshi Mukherjee
― 5 min read
This method estimates cell pathways using limited snapshot data.
Yunyi Shen, Renato Berlinghieri, Tamara Broderick
― 5 min read
Examining the impact of data removal on MCMC analysis conclusions.
Tin D. Nguyen, Ryan Giordano, Rachael Meager
― 6 min read
Evaluating the hurdles organizations face when applying differential privacy in survey data.
Jörg Drechsler, James Bailie
― 5 min read
A study examines how well the iThrive program worked among employees.
Jared D. Fisher, David W. Puelz, Sameer K. Deshpande
― 4 min read
Introducing a method to identify outliers in categorical datasets.
Efthymios Costa, Ioanna Papatsouma
― 6 min read
A look at using statistical models to evaluate athlete performance.
M-Z. Spyropoulou, J. Hopker, J. E. Griffin
― 5 min read
A look into how we find cause-and-effect relationships in data.
Kai Z. Teh, Kayvan Sadeghi, Terry Soo
― 6 min read
Study reveals new methods for analyzing running biomechanics and injury prevention.
Edward Gunning, Steven Golovkine, Andrew J. Simpkin
― 4 min read
Study examines how running speed affects hip and knee angles in runners.
Edward Gunning, Steven Golovkine, Andrew J. Simpkin
― 4 min read
Combining study results enables clearer conclusions through p-value analysis.
Leonhard Held, Felix Hofmann, Samuel Pawel
― 4 min read
A method to classify complex time series data using spectral analysis.
Sarbojit Roy, Malik Shahid Sultan, Hernando Ombao
― 5 min read
Innovative approaches improve analysis and efficiency in clinical trials.
Svetlana Cherlin, James M S Wason
― 6 min read
This paper discusses methods to optimize experimental design for better efficiency and outcomes.
Jinglong Zhao
― 5 min read
A fresh approach to causal inference using flexible data collection methods.
Abhinandan Dalal, Patrick Blöbaum, Shiva Kasiviswanathan
― 6 min read
A method to simplify regression model selection amidst uncertainty.
Brian Knaeble, R. Mitchell Hughes, George Rudolph
― 5 min read
Learn how the Deep Limit Model-free method improves predictions and uncertainty management.
Kejin Wu, Dimitris N. Politis
― 6 min read
This article examines how Bayesian and frequentist methods handle outliers in data analysis.
Philippe Gagnon, Alain Desgagné
― 5 min read
A new method improves trials for multiple treatments over time.
Dhrubajyoti Ghosh, Sheng Luo
― 5 min read
Learn how phase-type distributions help model positive systems across various fields.
Luz Judith Rodríguez Esparza, Fernando Baltazar Larios
― 5 min read
Introducing a flexible model for estimating volatility across various fields.
Jason B. Cho, David S. Matteson
― 5 min read
A novel method for comparing datasets in medical research and beyond.
Yiting Chen, Min Gao, Wei Lin
― 6 min read
How neural networks improve parameter estimation in spatial models.
Alejandro Villazón, Alfredo Alegría, Xavier Emery
― 5 min read
MultiCOAP improves analysis of count data from multiple studies, addressing complexity and overdispersion.
Wei Liu, Qingzhi Zhong
― 7 min read
Evaluating treatment options for Crohn's disease through different study designs.
Brian Knaeble, Erich Kummerfeld
― 6 min read
A new method enhances prediction accuracy using leave-one-out cross-validation.
Helga Kristin Olafsdottir, Holger Rootzén, David Bolin
― 5 min read
A guide to effectively managing method failures in comparison studies.
Milena Wünsch, Moritz Herrmann, Elisa Noltenius
― 5 min read
This article discusses methods to handle bias in distance correlation.
Yuwei Ke, Hok Kan Ling, Yanglei Song
― 5 min read
A deep dive into Wasserstein projections and their applications in statistics.
Sirui Lin, Jose Blanchet, Peter Glynn
― 7 min read
New tools improve understanding of Functional Random Forest predictions in healthcare.
Fabrizio Maturo, Annamaria Porreca
― 8 min read
Introducing SARIS: a method for estimating normalizing constants with improved efficiency.
Tom Guédon, Charlotte Baey, Estelle Kuhn
― 6 min read
Air-HOLP improves feature screening in complex datasets, balancing accuracy and efficiency.
Ibrahim Joudah, Samuel Muller, Houying Zhu
― 4 min read
A look into improved methods for analyzing functional data.
Fabrizio Maturo, Annamaria Porreca
― 6 min read
An analysis of how ideas spread through social connections and social media.
Samuel Sánchez-Gutiérrez, Juan Sosa, Carolina Luque
― 6 min read
A new model addresses challenges in ranking with changing data.
Yi Han, Thomas C. M. Lee
― 9 min read
Causal machine learning provides insights for better decision-making in supply chain risks.
Mateusz Wyrembek, George Baryannis, Alexandra Brintrup
― 6 min read
New algorithms help protect participant data while estimating treatment effects.
Sharmistha Guha, Jerome P. Reiter
― 7 min read
Examining how starting and stopping treatments affect healthcare outcomes.
Lina M. Montoya, Elvin H. Geng, Michael Valancius
― 7 min read