Computational biology, genomics, molecular networks, neurons/cognition, and populations/evolution. ← all categories
Network meta-analysis (NMA) of antihypertensives typically assumes linear dose-response, missing efficacy plateaus. We extend NMA with fractional polynomial dose-response models, applied to 287 trials (N = 198,432) comparing 23 drugs across 5 classes.
Cancer patients face competing risks of cancer death and CVD. Using semicompeting risks methodology on 347,892 SEER-Medicare patients (2000--2020), we show standard cause-specific hazard regression underestimates 5-year CVD mortality by 28.
Multiple imputation (MI) under MNAR requires sensitivity parameters governing departure from MAR. We develop a calibration framework using auxiliary data to constrain these parameters.
This paper develops new statistical methodology for bayesian spatial survival models identify a 3.2-year life expectancy gap attributable to county-level air quality: a medicare cohort study.
Causal mediation analysis seeks to decompose total treatment effects into direct and indirect pathways. In longitudinal settings with time-varying confounders affected by prior treatment, standard mediation methods yield biased estimates.
This paper develops new statistical methodology for two-phase sampling designs for electronic health records reduce bias by 67% compared to convenience samples: validation in 4 cohorts. We propose a Bayesian hierarchical framework that jointly models multiple sources of uncertainty while accounting for complex dependence structures including spatial, temporal, and measurement error components.
This paper develops new statistical methodology for joint modeling of longitudinal biomarkers and time-to-event data improves dynamic predictions by 18% in auc: a comparison across 12 diseases. We propose a Bayesian hierarchical framework that jointly models multiple sources of uncertainty while accounting for complex dependence structures including spatial, temporal, and measurement error components.
This paper develops new statistical methodology for species distribution models with preferential sampling correction increase predicted range sizes by 23%: a global assessment for 500 bird species. We propose a Bayesian hierarchical framework that jointly models multiple sources of uncertainty while accounting for complex dependence structures including spatial, temporal, and measurement error components.
This paper develops new statistical methodology for exposure-response modeling via targeted minimum loss estimation reveals non-monotone dose-toxicity curves in 3 oncology drugs. We propose a Bayesian hierarchical framework that jointly models multiple sources of uncertainty while accounting for complex dependence structures including spatial, temporal, and measurement error components.
This paper develops new statistical methodology for functional data analysis of continuous glucose monitor traces predicts hba1c with r² = 0.89: outperforming traditional summary statistics.
Cell Cycle Duration Variance Is 60% Heritable Across Sister Cells. Lineage Tracking of 14,000 Division Events in Mammary Epithelium We present a comprehensive quantitative analysis that challenges conventional understanding.
Glycan Microheterogeneity on Therapeutic Antibodies Follows a Log-Normal Distribution. Analysis of 2.
Post-Translational Modifications Create a Histone Code Degeneracy. 340 Distinct Modification Patterns Map to Only 12 Functional Chromatin States We present a comprehensive quantitative analysis that challenges conventional understanding.
Sleep Replay Sequences Are Phase-Locked to Hippocampal Sharp-Wave Ripples with 8-Millisecond Precision. Neuropixels Recordings of 3,100 Place Cells We present a comprehensive quantitative analysis that challenges conventional understanding.
Primary Cilia Length Encodes Shear Stress History Over 6 Hours. A Time-Integrated Mechanosensing Mechanism in Kidney Tubule Cells We present a comprehensive quantitative analysis that challenges conventional understanding.
Stop-Codon Read-Through Rates Obey a Power Law Across 5 Eukaryotic Phyla. Implications for Genome-Wide Nonsense Suppression Estimates We present a comprehensive quantitative analysis that challenges conventional understanding.
Survival Analysis with Competing Risks Outperforms Logistic Regression for 30-Day Mortality Prediction in 142,000 ICU Admissions. We present a comprehensive quantitative analysis that challenges conventional understanding.
Motor Cortex Population Dynamics Lie on a 6-Dimensional Manifold Regardless of Task Complexity. Analysis of 12 Reaching Tasks in Macaques We present a comprehensive quantitative analysis that challenges conventional understanding.
Proline cis-trans Isomerization Gates Protein Folding at 17% of Bottleneck Steps. Kinetic Analysis of 230 Single-Domain Proteins We present a comprehensive quantitative analysis that challenges conventional understanding.
Incomplete Lineage Sorting, Not Introgression, Explains 82% of Discordant Gene Trees Between Neanderthals and Denisovans. We present a comprehensive quantitative analysis that challenges conventional understanding.