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Dae-Jin Lee

Assistant Professor

IE University

Spain

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Research Interests

Biostatistics

40%

Epidemiology

50%

Sars-cov-2

30%

Cohort Study

30%

Concussion Research

20%

Competitive Sports

20%

Regression Analysis

20%

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Recent Grants

Grant: Close

New proposals for estimation, prediction and validation of semi-parametric models for the analysis of complex data with applications in Health and Climate Change

Open Date: 2021-09-01

Close Date: 2024-08-01

Grant: Close

New contributions in semiparametric regression and applications in agricultural field trials, epidemiological risks assessment and marine ecology

Open Date: 2018-01-01

Close Date: 2020-12-01

Grant: Close

Concurso de Atracción de Capital Humano Avanzado del Extranjero, Modalidad Estadías Cortas, MEC

Open Date: 2018-01-01

Close Date: 2019-02-01

Grant: Close

Obesity, global epidemic: Molecular characterization and dynamic parameters for the development of personalized diagnostic and therapeutic strategies.

Open Date: 2016-07-01

Close Date: 2016-12-01

Grant: Close

BID3ABI - Big Data para RIS3

Open Date: 2016-04-01

Close Date: 2016-12-01

Dae-Jin Lee

Assistant Professor

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Research Interests

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Recent Grants

Articles22

Evaluating short-term forecast accuracy across COVID-19 waves using penalized spline models

Hierarchical compromise optimization of ambulance locations under stochastic travel times

Modelling in-hospital length of stay: A comparison of linear and ensemble models for competing risk analysis

On the modeling of dynamic queue formation and decision-making in pedestrian dynamics simulations

Flexible modelling of time-varying exposures and recurrent events to analyse training load effects in team sports injuries

Cost-Sensitive Ordinal Classification Methods to Predict SARS-CoV-2 Pneumonia Severity

Genetic algorithms applied to translational strategy in metabolic-dysfunction associated steatohepatitis (MASH). Learning from mouse models

Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods

Cost-sensitive ordinal classification methods to predict SARS-CoV-2 pneumonia severity

A Bimodal Extension of the Beta-Binomial Distribution with Applications

Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality

Analysis of local density during football stadium access: Integrating pedestrian flow simulations and empirical data

Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques

Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia

Derivative curve estimation in longitudinal studies using P-splines

Classification of longitudinal profiles using semi‐parametric nonlinear mixed models with P‐Splines and the SAEM algorithm

Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks

Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models

Limited visual range in the Social Force Model: Effects on macroscopic and microscopic dynamics

Peak Height Velocity Affects Injury Burden in Circa-PHV Soccer Players.

Multidimensional adaptive P‐splines with application to neurons' activity studies

Modeling latent spatio-temporal disease incidence using penalized composite link models

Collaborators5

Inmaculada Arostegui

María Merino Maestre

Joaquín Martínez-Minaya

Andreas Bender

Cristina Alonso

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