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Novel Machine Learning Methods for Genomic Data Analysis
Assessing the Impact of Health Facility-Based Maternal Delivery Care on Adverse Pregna...
Inverse problem application in the field of biomedical image reconstruction
Omniscience in Adversarial Causal Inference: Implications for Balancing Estimators of ...
Potential Treatments for HIV Neuroretinal Disorder in People Living with HIV-1
A Bayesian Hierarchical Excess Mortality Model to Assess the Total Impact of COVID-19 ...
Analysis of Simultaneous Eye-tracking and fMRI Data Collected in Children with ASD
Assessing the Impact of Misclassification in Case-Control Studies: An Examination of B...
Estimation of Cognitive Ability in Longitudinal IRT using Univariate Composite Likelih...
Identification of Spatially Variable Genes (SVGs)
Machine learning for estimating and comparing clinical rules for treating diarrheal il...
Correlation between biomarkers associated with Alzheimer's disease and the cogniti...
A Density Ratio Super Learner
Evaluation of Missing Data and Imputation Methods in Environmental Mixtures Analyses u...
Sexual Activity and Attraction, Relationship Status, and Mental Well-Being in Transge...
Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational ...
Methods for Improving the Interpretability and Evaluation of Machine Learning Models a...
Climate Change and Malnutrition Among Under-5 Children in Guatemala from 2000 to 2017
Advances in Causal Inference to Support Vaccine Development and Evaluation
Characteristics of Vasectomy Recipients in the United States During the COVID-19 Pandemic
Capture-Recapture Methodology for Epidemiological Surveillance Accounting for Misclass...
Application of Machine Learning Algorithms for Estimating Daily PM2.5 Concentrations
The association between neighborhood deprivation and DNA methylation in an autopsy cohort
Jailbirds: A Machine-Learning Approach to Measuring Racial and Ethnic Disparities in B...
Generalized Quantile Random Forest with Smoothed Estimating Equations
Clustering the Liver Measures of Women Living with HIV
Temporal Resolution vs. Accuracy of Rhesus Macaques’ Social Network Based on RFID Trac...
Assessing the Economic Premium of Communist Party Membership
Evaluating the performance of maximum likelihood estimation in a discriminant function...
Semiparametric Efficient Designs with Staggered Rollouts
Efficient Training of Input Convex Neural Networks Using Variable Projection
Detecting Training Data Biases: MLR And Graphical LASSO Based Methods
Sentiment-based Open-domain Event Detection for COVID-19
Adverse Outcomes Associated with Beers List Medications Following Total Knee Replacement
Assess Improvement of Suicide Ideation by the Empower Veteran Program using PHQ-9
Predicting GDP growth across different Quantiles
Policing as a Social Determinant of Health: How Death by Law Enforcement Impacts Commu...
Probabilistic clustering of complex biomarker data for Alzheimer’s Disease
Statistical Methods for Analyzing Compositional Human Microbiome Data
Statistical Methods for Mediation Analysis of Omics Data
The Effect of Workplace Injury on Player Valuation in the National Basketball Association
Prediction of CBC Hemoglobin Levels for Preterm Infants: Evaluation of Anatomic Region...
Relaxed Conditional Bootstrap Inference for Sparse Data Under a Rectangular Array Embe...
COVID-19 Mitigation Strategies: Implications for Pandemic Control and the Incidence of...
Causal Inference in Multilayered Networks
Statistical approaches to understanding between and within host dynamics of infectious...
Prediction Approaches for High-dimensional and Complex Neuroimaging Data
Improvements in statistical machine learning for current problems in public health
Association between cold waves, heat waves and mortality among the older adults in the...
Post-Election Audits and Voter Confidence in Election Results
GENDER BIAS IN CHILDREN’S BOOKS: how did the 19th century children’s literature repres...
Predicting Housing Price in Beijing Using ARIMA Models
The Potential Effect of Telehealth Policies Adjustment on Telehealth Usage During Pand...
Herding in Financial Markets: Evaluating Leadership Signal Mechanisms Behind Meme Stoc...
Integrate Proteomics Data with GWAS Summary data for Studying Alzheimer’s Disease by N...
Identifying a PTSD resilient group based on a latent class analysis of childhood traum...
Impacts of gestational age uncertainty in estimating associations between preterm birt...
An Additive Spatiotemporal Covariance Function Using Stream and River Distance
Quantifying the Impact of Local SUTVA Violations in Spatiotemporal Causal Models
Cell-type-specific analysis in Alzheimer’s disease
Latent Class Methods for Complex Chronic Disease Data
Characterizing the Developmental Trajectories for Cerebellar Volumes via Penalized Spl...
Comparison of Imputation Methods on Metabolomics Data with Triplet Data
Epidemiology of Tracheostomy Among Adults with Acute Respiratory Failure and Mechanica...
Examining Effect of Age, Education, and Race on the Montreal Cognitive Assessment and...
Network-Based Machine Learning Methods for Omics Data
Estimating Lymphatic Filariasis Morbidity in Haiti Using Respondent-Driven Sampling: A...
Handling Tied Events in Cox Proportional Hazard Regression Modeling
Variable Selection of Neuroimaging Features in Mild Cognitive Impairment
Comparisons of conditional logistic regression vs. a discriminant function approach in...
Machine Learning Methods in Large Scale Neuroimaging Study
Statistical Methods for Incomplete Big Data
Hypothesis testing on the number of components in finite mixture models
Evaluating Statistical Approaches to Model Multi-Pollutant Mixtures on Common Bottleno...
An Exploration of Regression Analysis Methods to Identify Significant Predictors of Vi...
Short-term Exposure to Nitrogen Dioxide and Mortality: a systematic review and meta-an...
Dietary Incorporation: Health Implications of Migration to the United States
Statistical Methods for Omics Data Integration
Stability of Inference Derived from Machine Learning-based Doubly Robust Estimators of...
Effect of 5-FU Bolus on Survival in Patients with Metastatic Colorectal Cancer Treated...
Quantitative trait locus analysis of molecular phenotypes in the GTEx cohort
Targeted Maximum Likelihood Estimation to Evaluate Effect of Novel Regimens on Multidr...
Using Hierarchical Random Graphs (HRGs) to Model Brain Networks
Application and Interpretation of Dengue Fever Diagnostic and Prognostic Modeling in Y...
Estimates of Influenza Vaccine Effectiveness from Observational Studies
The effect of ambient air pollution on term birth weight and preterm birth in Kansas, ...
Statistical Methods for Handling Missing Data in Functional Data Analysis
Recursive Phase Estimation with Applications to Heartbeat Processing
Red Feed vs. Blue Feed: Differences in COVID-19 Digital News Coverage based on Partisa...
Nonparametric Regression for Assessing Time-Varying Effects in Survival Analysis
Local and Genome-wide Gene Conversion contributes to secondary somatic diversification...
Physics-informed Deep Neural Networks for High Dimensional Integration
Latent Class Analysis for PTSD Subtype Discovery
Flexible Methods to Incorporate Covariates in Latent Class Analysis
Statistical Analysis for validating and improving the staging system for breast cancer
The Analysis of COVID-19 Physical and Mental Health Impacts in the United States
Spatial Latent Process Models to Overcome Preferential Sampling in Disease Surveillanc...
Safety of Administering Pegfilgrastim on the Same Day of Continuously Infused 5-Fluoro...
Impacts of Broadband and the Social Determinants of Health on COVID-19 Mortality and I...
Analysis of Time to Recurrent Pulmonary Exacerbation: A Review of Three Statistical Ap...
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Spring 2020
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Rollins School of Public Health
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Laney Graduate School
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Emory College
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Biostatistics
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Biostatistics and Bioinformatics
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Statistics
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Lyles, Robert, Emory University
17
Chang, Howard, Emory University
14
Waller, Lance, Emory University
14
Manatunga, Amita, Emory University
10
Hanfelt, John, Emory University
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Causal Inference
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Machine Learning
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Biostatistics
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COVID-19
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Deep Learning
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