quantitative-methods

Documents about quantitative-methods

• Cox versus Discrete-Time Models in Behavioral Research: A Simulation Study of Predictive Performance#989224OSF
• The Unified Model Graph: Drawing the Statistical Models of Psychology#976818OSF
• Enhancing Test-Taker Experience in Computerised Adaptive Testing: A Comparison of Constraint Methods for Regulating Item Difficulty Jumps#16481OSF
• Enhancing Test-Taker Experience in Computerised Adaptive Testing: A Comparison of Constraint Methods for Regulating Item Difficulty Jumps#154989OSF
• SPIV analysis: A heuristic meta-method for detecting non-random patterns in study data#171046OSF
• Do people's mate preferences differ meaningfully? A latent profile analysis of ideal partner types#192048OSF
• A Machine Learning Pipeline to Classify the Type and Severity of Misspecifications in Latent Measurement Models#219494OSF
• Thinking clearly about sampling and representation with the Total Survey Error Framework#270347OSF
• Two practices that understate the mental health risks associated with adolescent social media use#286126OSF
• Self-harm in autistic and non-autistic people: network structure and prediction of suicidality over time#345577OSF
• Why Risk it, When You Can {rix} it: A Tutorial for Computational Reproducibility Focused on Simulation Studies#348858OSF
• Consciousness, Mind Perceptions, and Emotional Reactions to AI: A Mixed-Methods Study Across Five Countries#361053OSF
• Moving beyond stationarity: A sliding window z-score criterion for response time outlier exclusion#381242OSF
• The BRIMMER test: The bounds of the Standard Deviation under constraints#423326OSF
• Investigating the relationship between affective valence and reinforcement learning#439839OSF
• Seven Guiding Questions for Reproducible AI-Assisted Research in the Social and Behavioral Sciences#444304OSF
• A Tutorial on Structural Identifiability of Epidemic Models Using StructuralIdentifiability.jl#141735arXiv (OAI)
• High-dimensional point forecast combinations for emergency department demand#147049arXiv (OAI)
• On the Diffusion Time Evolution of Folding Chains in the Heteropolymer Model#155446arXiv (OAI)
• Deciphering interventional dynamical causality from non-intervention complex systems#158631arXiv (OAI)
• A Bayesian approach to model uncertainty in single-cell genomic data#163178arXiv (OAI)
• PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking#173287arXiv (OAI)
• Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease#183173arXiv (OAI)
• Computational Modeling of Structured Memory Search#276672OSF
• Heightened adaptability to environmental volatility in adolescence#286128OSF
• Quantitative comparison of causal inference methods for climate tipping points#454369edoc-Server
• Evaluation of epistasis detection methods for quantitative phenotypes#485222Europe PMC
• Ribonucleic-Acid Protein Interaction Prediction Based on Deep Learning: A Comprehensive Survey#609753arXiv (All)
• Quantifying Cardiovascular-Kidney-Metabolic(CKM) Health Age Using Wearables and lab Biomarkers#682623arXiv (OAI Expanded)
• Quantifying Cardiovascular-Kidney-Metabolic(CKM) Health Age Using Wearables and lab Biomarkers#684398arXiv (All)
• LNODE: latent dynamics reveal the shared spatiotemporal structure of amyloid-$β$ progression#789650arXiv (OAI Expanded)
• LNODE: latent dynamics reveal the shared spatiotemporal structure of amyloid-$β$ progression#793654arXiv (All)
• Science sandboxes measure the scientific capability of AI agents#797965arXiv (OAI Expanded)
• Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts#797974arXiv (OAI Expanded)
• Science sandboxes measure the scientific capability of AI agents#799388arXiv (All)
• Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts#799397arXiv (All)
• Communicating causal effect heterogeneity#928119OSF
• Multiparametric MRI Radiomics and Machine Learning Framework for Predicting Treatment Response in Glioblastoma#972346arXiv (All)
• SureRoute: Toward a Hallucination-Free Self-Improving Platform for Retrosynthesis#972514arXiv (All)
• ProMeta: Few-shot PROTAC-targeted degradation prediction across E3 ligases#996704arXiv (All)
• Multi-fidelity batch Bayesian optimization for bioprocess development across scales#996871arXiv (All)
• Robust POMDP Framework for Lung Cancer Screening Problems#999987arXiv (All)
• Practice Effects Confound the Emotion–Performance Link in Self-Regulated Learning: A Reanalysis of Lin et al. (2026)#15892OSF
• Addressing Selective Reporting Bias in Meta-Analysis of Dependent Effect Sizes: A Tutorial in R#16205OSF
• Addressing Selective Reporting Bias in Meta-Analysis of Dependent Effect Sizes: A Tutorial in R#16562OSF
• Random Intercepts and Slopes in Cross-Lagged Panel Models: When Are They "Good" and "Bad" Controls?#134356OSF
• Measuring children’s motivation for music: a systematic review of quantitative research tools.#188783OSF
• First the Rules, Then the Summary: Piloting a Design for Accurate LLM-Generated Clinical Summaries#258702OSF
• A Tutorial in Dynamic Systems Simulation and Modelling With R, ctsem, and lme4: Couples' Affect Dynamics Over Time#390015OSF
• Practice Effects Confound the Emotion–Performance Link in Self-Regulated Learning: A Reanalysis of Lin et al. (2026)#390046OSF