Georg Heinze

University Name

Austria

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Research Interests

Biostatistics

80%

Statistics

40%

Statistical Inference

30%

Clinical Prediction

20%

Statistical Analysis

20%

Causal Inference

20%

Propensity Score Analysis

20%

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Articles19

A Systematic Categorization of Performance Measures for Estimated Non‐Linear Associations Between an Outcome and Continuous Predictors

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Year:

2025

Commentary: Teaching Statistics as Minor Subject—Handing on Fire, Not Worshipping Ashes

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Year:

2025

Prediction Modeling With Many Correlated and Zero‐Inflated Predictors: Assessing the Nonnegative Garrote Approach

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Year:

2025

Response to Landes: Comment on Frommlet and Heinze (2021): correcting the error degrees of freedom

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Year:

2025

Cross-Sectoral Comparisons of Process Quality Indicators of Health Care Across Residential Regions Using Restricted Mean Survival Time

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Year:

2024

Flexible parametrization of graph‐theoretical features from individual‐specific networks for prediction

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Year:

2024

Phases of methodological research in biostatistics-Building the evidence base for new methods.

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Year:

2023

Causal Model Building in the Context of Cardiac Rehabilitation: A Systematic Review

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Year:

2023

The Vienna Prediction Model for identifying patients at low risk of recurrent venous thromboembolism: a prospective cohort study

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Year:

2023

Sex differences in the survival benefit of kidney transplantation: a retrospective cohort study using target trial emulation

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Year:

2023

Fractional Polynomial Models as Special Cases of Bayesian Generalized Nonlinear Models

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Year:

2023

Leave-one-out cross-validation, penalization, and differential bias of some prediction model performance measures—a simulation study

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Year:

2023

A Training Programme for Developing Social and Personal Resources and Its Effects on the Perceived Stress Level in Adults in Daily Life—Study Protocol for a Prospective Cohort Study

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Year:

2022

Prediction models for living organ transplantation are poorly developed, reported, and validated: a systematic review

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Year:

2022

Using Background Knowledge from Preceding Studies for Building a Random Forest Prediction Model: A Plasmode Simulation Study

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Year:

2022

A comparison of full model specification and backward elimination of potential confounders when estimating marginal and conditional causal effects on binary outcomes from observational data

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Year:

2022

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

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Year:

2022

Statistical advising: Professional development opportunities for the biostatistician

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Year:

2022

Solutions to problems of nonexistence of parameter estimates and sparse data bias in Poisson regression

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Year:

2022

Collaborators13

Florian Frommlet

Associate Professor

Medical University of Vienna

AUSTRIA

Daniela Dunkler

Medical University of Vienna

AUSTRIA

Karen Leffondré

Professor

University of Bordeaux

FRANCE

Thomas Ernst Dorner

Associate Professor

Medical University of Vienna

AUSTRIA

Spiros Denaxas

University College London

UNITED KINGDOM

Ian White

Professor at Institute of Clinical Trials and Methodology (ICTM)

University College London

UNITED KINGDOM

Heiko Becher

Professor emeritus

University Hospital Heidelberg

GERMANY

Aris Perperoglou

Head of Predictive Modelling

GSK

UNITED KINGDOM

Michael Kammer

Medical University of Vienna

AUSTRIA

Nadja Klein

Technische Universität Dortmund

GERMANY

Maria C Haller

Medical University of Vienna

AUSTRIA

Corina S. Rueegg

NORWAY

Sabine Eichinger

Medical University of Vienna

AUSTRIA

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