Andreas Groll at Technische Universität Dortmund - Research Interests, Publications & Academic Profile

Andreas Groll

Technische Universität Dortmund

Germany

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Research Interests

Biostatistics

30%

Statistics

30%

Regression Analysis

30%

Outcome Prediction

20%

Hiv

20%

Causal Inference

20%

Case-control Study

20%

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Articles11

Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features

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Year:

2024

Interactions of scores derived from two groups of variables: Alternating lasso regularization avoids overfitting and finds interpretable scores.

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Year:

2023

Predictive modeling of lower extremity injury risk in male elite youth soccer players using least absolute shrinkage and selection operator regression

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Year:

2023

A machine learning approach for modelling the occurrence of Galba truncatula as the major intermediate host for Fasciola hepatica in Switzerland

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Year:

2022

Correlation of Walking Activity and Cardiac Hospitalizations in Coronary Patients for 1 Year Post Cardiac Rehabilitation: The More Steps, the Better!

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Year:

2022

An HLA-I signature favouring KIR-educated Natural Killer cells mediates immune control of HIV in children and contrasts with the HLA-B-restricted CD8+ T-cell-mediated immune control in adults

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Year:

2021

Joint Modelling Approaches to Survival Analysis via Likelihood-Based Boosting Techniques

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Year:

2021

<p>Using the Causal Inference Framework to Support Individualized Drug Treatment Decisions Based on Observational Healthcare Data</p>

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Year:

2020

Author Correction: Sex-specific innate immune selection of HIV-1 in utero is associated with increased female susceptibility to infection (Nature Communications, (2020), 11, 1, (1767), 10.1038/s41467-020-15632-y)

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Year:

2020

Generalised joint regression for count data: a penalty extension for competitive settings

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Year:

2020

HIGH-FREQUENCY failure of combination antiretroviral therapy in paediatric HIV infection is associated with unmet maternal needs causing maternal NON-ADHERENCE

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Year:

2020

Collaborators8

David Walzik

Technische Universität Dortmund

GERMANY

Marcus Schmidt

Technische Universität Dortmund

GERMANY

Maximilian Muenchhoff

University of Oxford

UNITED KINGDOM

Andreas D. Meid

GERMANY

Philipp Doebler

Technische Universität Dortmund

GERMANY

Elisabeth Bergherr

Professor for spatial datascience and statistical learning

Georg-August-Universität Göttingen Geowissenschaftliches Zentrum

GERMANY

Marit Lea Schlagheck

Technische Universität Dortmund

GERMANY

Maria C. Puertas

AIDS Research Institute Irsicaixa

SPAIN

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