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Methodology & Statistics — Research Papers | Faculti

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Methodology & Statistics

Research methods, study designs, and statistical techniques for data analysis.

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94,125Articles

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Public Health & Epidemiology Chronic & Non-Communicable Diseases Mental & Behavioral Health Artificial Intelligence & Machine Learning Epidemiology & Public Health Maternal & Child Health Clinical Research & Trials Machine Learning Methods

structural equation modellingstructural equation modelfactor analysisexploratory factor analysislatent class analysispath analysismultilevel analysislongitudinal analysistime series analysisjoinpoint regressionpoisson regressionrestricted cubic splinegeneralized method of momentssensitivity analysissimulation study

Articles published on Methodology & Statistics

94,125 results

8 Mar 2026|arxiv:2509.07605

Beyond Rebalancing: Benchmarking Binary Classifiers Under Class Imbalance Without Rebalancing Techniques

Ali Nawaz; Amir Ahmad; Shehroz S. Khan2025·arXiv Preprint

30 Jan 2026|arxiv:2501.18578

R.I.P.: Better Models by Survival of the Fittest Prompts

Ping Yu; Weizhe Yuan; Olga Golovneva; Tianhao Wu; Sainbayar Sukhbaatar; Jason Weston; Jing Xu2025·arXiv Preprint

30 Dec 2025|10.3389/fpsyt.2025.1681673

Perinatal compassion focused therapy for mothers with mental health difficulties: a study protocol for a multisite and mixed methods feasibility and acceptability study.

Medicine

Millard-Brewer; Leah A; Smith; Debbie M; Wan + 2 more2025·Frontiers in psychiatryTier 2

14 Jan 2026|arxiv:2510.18052

Measure-Theoretic Anti-Causal Representation Learning

Arman Behnam; Binghui Wang2025·arXiv Preprint

15 Mar 2026|arxiv:2509.12825

Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data

Jacopo Rodeschini; Lorenzo Tedesco; Francesco Finazzi; Philipp Otto; Alessandro Fassò2025·arXiv Preprint

18 Mar 2026|10.1145/3773966.3779391

Abacus: Self-Supervised Event Counting-Aligned Distributional Pretraining for Sequential User Modeling

Sullivan Castro; Artem Betlei; Thomas Di Martino; Nadir El Manouzi2025·arXiv Preprint

26 Mar 2026|arxiv:2509.23494

Revisiting Multivariate Time Series Forecasting with Missing Values

Jie Yang; Yifan Hu; Kexin Zhang; Luyang Niu; Philip S. Yu; Kaize Ding2025·arXiv Preprint

3 Jan 2026|10.1073/pnas.2414926122

Estimating the extent and sources of model uncertainty in political science

Political Science

Michael Ganslmeier; Tim Vlandas2025·Proceedings of the National Academy of SciencesTier 1

2 Jan 2026|arxiv:2512.24443

Sparse classification with positive-confidence data in high dimensions

The Tien Mai; Mai Anh Nguyen; Trung Nghia Nguyen2025·arXiv Preprint

25 Feb 2026|arxiv:2508.21261

Owen Sampling Accelerates Contribution Estimation in Federated Learning

Hossein KhademSohi; Hadi Hemmati; Jiayu Zhou; Steve Drew2025·arXiv Preprint

24 Jan 2026|10.1093/aje/kwae196

Studying the association between longitudinal nondense breast tissue measurements and the risk of breast cancer: a joint modeling approach.

Illipse; Maya; Gasparini; Alessandro; Christoffersen + 4 more2025·American journal of epidemiologyTier 1

3 Jan 2026|10.1186/s41073-025-00184-w

The role of research ethics committees in addressing optimism in sample size calculations: a meta-epidemiological study.

Medicine

Jansen; Marieke S; Groenwold; Rolf H H; Dekkers + 1 more2025·Research integrity and peer reviewTier 1

17 Jan 2026|10.1609/aaai.v39i14.33639

Temporal Causal Reasoning with (Non-Recursive) Structural Equation Models

Maksim Gladyshev; Natasha Alechina; Mehdi Dastani; Dragan Doder; Brian Logan2025·arXiv Preprint

9 Jan 2026|arxiv:2506.13967

High-Dimensional Spatial-Plus-Vertical Price Relationships and Price Transmission: A Machine Learning Approach

Mindy L. Mallory; Rundong Peng; Meilin Ma; H. Holly Wang2025·arXiv Preprint

12 Mar 2026|arxiv:2512.11984

Evidence-Driven Decision Support for AI Model Selection in Research Software Engineering

Alireza Joonbakhsh; Alireza Rostami; AmirMohammad Kamalinia; Ali Nazeri; Farshad Khunjush; Bedir Tekinerdogan; Siamak Farshidi2025·arXiv Preprint

23 Mar 2026|arxiv:2509.19939

AJAHR: Amputated Joint Aware 3D Human Mesh Recovery

Hyunjin Cho; Giyun Choi; Jongwon Choi2025·arXiv Preprint

12 Mar 2026|arxiv:2512.11588

AI Benchmark Democratization and Carpentry

Gregor von Laszewski; Wesley Brewer; Jeyan Thiyagalingam; Juri Papay; Armstrong Foundjem; Piotr Luszczek; Murali Emani; Shirley V. Moore; Vijay Janapa Reddi; Matthew D. Sinclair; Sebastian Lobentanzer; Sujata Goswami; Benjamin Hawks; Marco Colombo; Nhan Tran; Christine R. Kirkpatrick; Abdulkareem Alsudais; Gregg Barrett; Tianhao Li; Kirsten Morehouse; Shivaram Venkataraman; Rutwik Jain; Kartik Mathur; Victor Lu; Tejinder Singh; Khojasteh Z. Mirza; Kongtao Chen; Sasidhar Kunapuli; Gavin Farrell; Renato Umeton; Geoffrey C. Fox2025·arXiv Preprint

9 Mar 2026|arxiv:2509.08708

Quantifying model prediction sensitivity to model-form uncertainty

Teresa Portone; Rebekah D. White; Joseph L. Hart2025·arXiv Preprint

14 Feb 2026|arxiv:2502.07959

Bad estimation, good prediction: the Lasso in dense regimes

Andrea Bratsberg; Magne Thoresen; Jelle J. Goeman2025·arXiv Preprint

13 Mar 2026|arxiv:2503.10474

Applying Tabular Deep Learning Models to Estimate Crash Injury Types of Young Motorcyclists

Shriyank Somvanshi; Anannya Ghosh Tusti; Rohit Chakraborty; Subasish Das2025·arXiv Preprint

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