Biostatistics.
概要
| 作品: | 489 作品在 164 項出版品 164 種語言 | |
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書目資訊
Rankings and preferences = new results in weighted correlation and weighted principal component analysis with applications /
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Excel 2016 for biological and life sciences statistics = a guide to solving practical problems /
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New theory of discriminant analysis after R. Fisher = advanced research by the feature selection method for microarray data /
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Extended abstracts Fall 2015 = Biomedical Big Data; Statistics for Low Dose Radiation Research /
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Advanced data analysis in neuroscience = integrating statistical and computational models /
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Growth curve models and applications = Indian Statistical Institute, Giridih, India, March 28-29, 2016 /
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Elucidation of transcriptional regulation by analyzing Next-Generation Sequencing data.
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Analysis strategies for planned missing data in health sciences and education research.
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Modern dose-finding designs for cancer phase I trials = drug combinations and molecularly targeted agents /
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Targeted learning in data science = causal inference for complex longitudinal studies /
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Methods and biostatistics in oncology = understanding clinical research as an applied tool /
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Modern infectious disease epidemiology = concepts, methods, mathematical models and public health /
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Statistical methods for genetic association analysis in samples with related individuals and population structure.
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Test of Treatment Effect with Zero-Inflated Over-Dispersed Count Data from Randomized Single Factor Experiments.
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Excel 2013 for biological and life sciences statistics = a guide to solving practical problems /
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Umbrella Reviews = evidence synthesis with overviews of reviews and meta-epidemiologic studies /
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Robust rank-based and nonparametric methods = Michigan, USA, April 2015 : selected, revised, and extended contributions /
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Statistical inference on optimal points to evaluate multi-state classification systems.
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Measuring Performance of Physicians in the Diagnosis of Endometriosis using an Expectation-Maximization Algorithm.
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Association between land use and temperatures during the 2011 heat wave in Houston: A quantile regression analysis.
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New statistical methods and computational tools for mining big data, with applications in plant sciences.
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An evaluation of breast radiological density assessment by Quantra software as compared to visual classification.
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Statistical analysis of proteomics, metabolomics, and lipidomics data using mass spectrometry
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Next generation sequencing based clinical molecular diagnosis of human genetic disorders
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Statistical analysis with measurement error or misclassification = strategy, method and application /
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Statistical tools for general association testing and control of false discoveries in group testing.
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Evaluation of the migrant birds protection program of Taiwan: Program problems and research methods.
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Statistical methods for compositional and tree-structured count data in human microbiome studies.
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Is metabolism goal-directed? Investigating the validity of modeling biological systems with cybernetic control via omic data.
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Concordance probability in censored survival model and statistical methods for longitudinal microbiome data.
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Characterizing the effects of repetitive head trauma in female soccer athletes for prevention of mild traumatic brain injury.
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Methods for functional regression and nonlinear mixed-effects models with applications to PET data.
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Bayesian inference and maximum entropy methods in science and engineering = MaxEnt 37, Jarinu, Brazil, July 09-14, 2017 /
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Using Ecological Theory to Investigate Emergent Properties of Populations in Aquatic Ecosystems.
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Some Statistical Methods for Brain Gene Expression Data: Dimension Reduction, Feature Screening, and Causal Inference.
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Using Reinforcement Learning to Personalize Dosing Strategies in a Simulated Cancer Trial With High Dimensional Data.
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Semiparametric Regression and Machine Learning Methods for Estimating Optimal Dynamic Treatment Regimes.
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Combining High-performance Computing and Ecological Field Experiments to Understand Insect Outbreaks.
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Dose-finding designs for early-phase cancer clinical trials = a brief guidebook to theory and practice /
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High-dimensional microarray data analysis = cancer gene diagnosis and malignancy indexes by microarray /
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Learning methods in reproducing kernel Hilbert space based on high-dimensional features.
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Varying-Coefficient Models and Functional Data Analyses for Dynamic Networks and Wearable Device Data.
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Modeling approaches for cost and cost-effectiveness estimation using observational data.
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Tumor Interferon Signaling Initiates and Sustains a Multigenic Resistance Program to Immune Checkpoint Blockade.
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Methods for Handling Measurement Error and Sources of Variation in Functional Data Models.
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Social Determinants to Depressed Mood Symptoms and All-Cause Mortality in Older Adults.
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Statistical methods for global health and epidemiology = principles, methods and applications /
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Advances in compositional data analysis = festschrift in honour of Vera Pawlowsky-Glahn /
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Quantitative psychology = the 85th Annual Meeting of the Psychometric Society, virtual /
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The Handbook of cuffless blood pressure monitoring = a practical guide for clinicians, researchers, and engineers /
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Efficacy analysis in clinical trials an update = efficacy analysis in an era of machine learning /
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Computational and methodological statistics and biostatistics = contemporary essays in advancement /
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Risk Prediction and Calibration with Weak Supervision Using the Electronic Health Record.
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SIR -- model supported by a new density = action document for an adapted COVID-management /
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Random walk and diffusion models = an introduction for life and behavioral scientists /
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Bioinformatic and statistical analysis of microbiome data = from raw sequences to advanced modeling with QIIME 2 and R /
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Meta-analysis of safety data: Approximation of arcsine transformation and application of mixture distribution modelling.
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Causal Mediation Analysis with failure time outcome and error-prone longitudinal covariate.
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Sample size calculation when high dose cannot be administered first in a three-period crossover design.
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Statistical methods for sub-class discovery on genomic structures with quantitative outcomes.
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The effect of substance use disorder parity mandates on the privately insured population.
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Extra-medical prescription pain reliever use, dependence, and persistence among adolescents.
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New methods for meta-analysis under a fixed effects framework, with frequentist and Bayesian estimation.
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Design and Analysis of Cluster Randomized Trials with Application to HIV Prevention and Treatment.
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Maximum likelihood and Bayesian methods for studying selection using DNA sequence data.
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Leveraging latent structure in high-dimensional data: Causality, neuroscience, and nonparametrics.
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Patent Ductus Arteriosus Ligation in Extremely Preterm Infants and Death or Neurodevelopmental Impairment.
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Population Dynamics of Hybrid Ecosystems: Implications for Marginal Ecosystem Conservation and Management.
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Statistical Methods for Estimation, Testing, and Clustering with Gene Expression Data.
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Hydroacoustic Quanti cation of Lake Erie Walleye (Sander vitreus) Distribution and Abundance.
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Temporal Trends in Abundance and Habitat Preferences of Deep Reef Fishes Off the Coast of South Carolina, USA.
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Identification of Genes/Genomic Regions Controlling Resistance to Biotic and Abiotic Stresses in Synthetic Hexaploid Wheat.
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Managing Disease Outbreaks: Current Approaches, An Artificial Intelligence Alternative, and Its Performance.
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Diets, Distribution and Population Dynamics of Arctic Cod ( Boreogadus saida) in Arctic Shelf Ecosystems.
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Regularization for Variable Selection with Flexible Missingness Mechanism: Methodology, Algorithm and Application.
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In Silico Comparative Evaluation of Classical and Robust Dimension Reduction for Psychological Assessment.
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Unsupervised Data-Driven Algorithms with Adaptive Metric for Pattern Recognition, Hypothesis Testing, and Image Segmentation.
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Gastrointestinal Symptoms in HIV Disease: Results from the Ontario HIV Treatment Network Cohort Study, 2007 TO 2014.
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Integrative analysis of multi-omics data improves genetic risk prediction and transcriptome-wide association analysis.
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High Dimensional Statistical and Computational Methods for Knowledge Discovery and Data Mining in Biomedical Data.
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Excel 2019 for biological and life sciences statistics = a guide to solving practical problems /
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Statistical modeling in biomedical research = contemporary topics and voices in the field /
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Advances in statistics = theory and applications : honoring the contributions of Barry C. Arnold in statistical science /
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Methods and applications of sample size calculation and recalculation in clinical trials
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Human Disease Network: A Study Based on Taiwan National Health Insurance Research Database.
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Accelerating Drug Development with Health-Consumer-Contributed Data and Heterogeneous Network Mining.
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Stop Signal Reaction Times: New Estimations with Longitudinal, Bayesian and Time Series Based Methods.
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On Simplified Bayesian Modeling for Massive Geostatistical Datasets: Conjugacy and Beyond.
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Maximum Likelihood Estimation of Species Trees and Anomaly Zone Detection Using Ranked Gene Trees.
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Statistical Modeling of Multivariate Functional Data that Exhibit Complex Correlation Structures.
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Missing Data Imputation Using Machine Learning and Natural Language Processing for Clinical Diagnostic Codes.
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Methods and Applications for Collection, Contamination Estimation, and Linkage Analysis of Large-Scale Human Genotype Data.
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Dynamic Cerebral Blood Flow Regulation in Adolescent Athletes with Sports-Related Concussion.
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Novel Statistical Methods: Quantile Estimation, Inference, and Related Applications in Medical Research.
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Bayesian Nonparametric Models for Causal Inference and Clustering under Dirichlet Process Priors.
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Statistical and Machine Learning Methods for Pattern Identification in Environmental Mixtures.
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Machine Learning Approaches for Extracting Biological Insights from Heterogeneous Omics Data.
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Investigating the Time-Varying Effects and Mediation of Physical Activity on Cravings, Negative Affect, and Daily Smoking.
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Fundamentals of supervised machine learning = with applications in Python, R, and Stata /
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Twenty interviews with Psychometric society presidents = what's on the mind of the psychometrician? /
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Modeling correlated outcomes using extensions of generalized estimating equations and linear mixed modeling
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High-Dimensional Statistical Inference: Phase Transition, Power Enhancement, and Sampling.
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Statistical Modeling for High-Dimensional Compositional Data with Applications to the Human Microbiome.
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Statistical Strategies and Resources for Deciphering Mechanisms of Diabetes Risk Loci.
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Gene Regulation in the Human Brain and the Biological Mechanisms Underlying Psychiatric Disorders.
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MISL: Multiple Imputation by Super Learning and Its Applications in Population Health.
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Model-Based Multiple Imputation by Chained-Equations for Multilevel Data Below the Limit of Detection.
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Marginal Modeling and Multiple Imputation Methods for Correlated Binary Data Generated from Clinical Periodontal Examinations.
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Robust Methods for Causal Inference and Missing Data in Electronic Health Record-Based Comparative Effectiveness Research.
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Statistical and Machine Learning Methods for Multi-Study Prediction and Causal Inference.
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Prediction of Hospital Readmission in Heart Failure Patients : = A Data-Driven Analysis.
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Frequentist and Bayesian Extensions to Data-driven Likelihood Methods with Biostatistical Applications.
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Augmenting Subnetwork Inference with Information Extracted from the Scientific Literature.
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Imputation-based genetic association analysis of complex traits in admixed populations.
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Avoiding the Redundant Effect on Regression Analyses of Including an Outcome in the Imputation Model.
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Ambient Air Pollution in Massachusetts: Inequality Trends, Residential Infiltration, and Childhood Weight Growth Trajectories.
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microRNA Regulation of Genes with Genetic Variation and their Systems-level Consequences in Cancer.
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Statistical Methods for Wearable Device Data: Applications in Clinical Studies = = 可穿戴设备数据的统计分析方法及其在临床研究中的应用.
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Multiple Testing & Optimization-based Approaches with Applications to Genome-wide Association Studies.
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The Effects of HIV, Obesity, and Methamphetamine Use on the Gastrointestinal Microbiome of Young Men Who Have Sex with Men.
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Gene Set-based Signal-Detection Analyses with Goodness-of-Fit Statistics and Their Application in Complex Diseases.
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Statistical Methods for Censored and Missing Data in Survival and Longitudinal Analysis.
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Cytoplasmic Mislocalization of CTCF by Leukemic Oncogene NPM1c in Acute Myeloid Leukemia.
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Computational Methods and Epidemiologic Approaches for Revealing the Etiology of Autoimmune Diseases.
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Bayes Factor Approaches for Region-based Analysis of Rare Variants From Next Generation Sequencing Studies.
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Linking Human-Genetic and Host-Microbiome Associations to Molecular Mechanisms Using Protein-Protein Interaction Networks.
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Statistical Methods for Modeling Progression and Learning Mechanisms of Neuropsychiatric Disorders.
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Dealing with Many Species: Improving Methodology for Forming and Assessing Species Complexes.
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On Model Determination, Prediction and Statistical Learning: The Case of Space-Time Data.
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Statistical Methods to Incorporate External Summary-Level Information into a Current Study.
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Statistical Methods for Studying Heterogeneous Treatment Effects with Instrumental Variables.
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Using Fine-scale Aquatic Habitat Data to Construct Dreissenid SDMs in the Laurentian Great Lakes.
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Optimal Transport Methods for Causal Inference, Multisample Testing, and Model Interpretation.
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Statistical Methods for Controlling Population Stratification and Gene-Based Association Studies.
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Bayesian Learning and Calibration of Mechanistic Models and Spatiotemporal Computer Simulations.
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Borrowing from Your Neighbors: Three Statistical Techniques from Nontraditional Sources.
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Understanding Pathways Underlying Inpatient Mortality of Children with Complicated Severe Malnutrition.
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Longitudinal Time-to-Event Graph Mining Pipeline for Musculoskeletal Injury Forecasting.
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Bayesian Meta-Analysis Methods for Improving Accuracy and Adjusting for Publication Bias.
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Statistical Methods for the Analysis and Development of Quantitative Imaging Biomarkers.
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Deep Learning and Physics-Based Methods for Macromolecular Structure Prediction and Design.
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Data and Model Improvements to Quantify the Impacts of Air Pollution in Health and Environmental Justice.
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Risk Stratification for Lung Cancer Screening Using an Epidemiologic, Molecular, and Quantitative Imaging Approach.
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