C. Porzelius

发表

Leveraging external knowledge on molecular interactions in classification methods for risk prediction of patients

Harald Binder, Christine Porzelius, Tim Beissbarth, 2011, Biometrical journal. Biometrische Zeitschrift.

Hemoglobin Levels Above Anemia Thresholds Are Maximally Predictive for Long-Term Survival in COPD With Chronic Respiratory Failure

R. Jörres, F. Kollert, S. Budweiser, 2013, Respiratory Care.

An overview of techniques for linking high‐dimensional molecular data to time‐to‐event endpoints by risk prediction models

H. Binder, M. Schumacher, C. Porzelius, 2011, Biometrical journal. Biometrische Zeitschrift.

Rank-based p-values for sparse high-dimensional risk prediction models fitted by componentwise boosting

H. Binder, M. Schumacher, C. Porzelius, 2009 .

Muscle ultrasound for early assessment of critical illness neuromyopathy in severe sepsis

O. Witte, H. Axer, F. Brunkhorst, 2013, Critical Care.

CT60 single-nucleotide polymorphism as a surrogate marker for donor lymphocyte infusion outcome after allogeneic cell transplantation for acute leukemia

J. Finke, H. Bertz, A. Spyridonidis, 2012, Bone Marrow Transplantation.

Impairment of small somatic and autonomic nerve fibres in intensive care unit patients with severe sepsis and critical illness polyneuropathy – a single center controlled observational study

O. Witte, H. Axer, F. Brunkhorst, 2013, BMC Neurology.

Can matching improve the performance of boosting for identifying important genes in observational studies?

H. Binder, M. Schumacher, S. Stampf, 2012, Computational Statistics.

Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer

Tim Beißbarth, Holger Sültmann, Harald Binder, 2011, BMC Bioinformatics.

Model complexity selection in high-dimensional time-to-event data analysis

Christine Porzelius, C. Porzelius, 2011 .

Sparse regression techniques in low-dimensional survival data settings

Harald Binder, Martin Schumacher, Christine Porzelius, 2010, Stat. Comput..

A general, prediction error‐based criterion for selecting model complexity for high‐dimensional survival models

Harald Binder, Martin Schumacher, Christine Porzelius, 2010, Statistics in medicine.

Bioinformatics Applications Note Parallelized Prediction Error Estimation for Evaluation of High-dimensional Models

Harald Binder, Martin Schumacher, Christine Porzelius, 2022 .

Microarray-Based Genotyping and Clinical Outcomes of Staphylococcus aureus Bloodstream Infection: An Exploratory Study

H. Seifert, W. Kern, D. Jonas, 2013, PloS one.

Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value

Anne-Laure Boulesteix, Martin Daumer, Christine Porzelius, 2008, Bioinform..

[Effectiveness of a hospital-wide educational programme for infection control to reduce the rate of health-care associated infections and related sepsis (ALERTS)--methods and interim results].

P. Gastmeier, S. Harbarth, S. Hagel, 2013, Deutsche medizinische Wochenschrift.

Morphometric Long-Term Evaluation and Comparison of Brow Position and Shape after Endoscopic Forehead Lift and Transpalpebral Browpexy

G. Stark, C. Porzelius, N. Iblher, 2012, Plastic and reconstructive surgery.

Hands-on tutorial for parallel computing with R

Manuel J. A. Eugster, Markus Schmidberger, Esmeralda Vicedo, 2011, Comput. Stat..

Easier parallel computing in R with snowfall and sfCluster

Guido Schwarzer, Harald Binder, Christine Porzelius, 2009, R J..

A general, prediction error‐based criterion for selecting model complexity for high‐dimensional survival models

H. Binder, M. Schumacher, C. Porzelius, 2010, Statistics in medicine.

Parallelized prediction error estimation for evaluation of high-dimensional models

H. Binder, M. Schumacher, C. Porzelius, 2009, Bioinform..

Can matching improve the performance of boosting for identifying important genes in observational studies?

Harald Binder, Martin Schumacher, Veronika Reiser, 2012, Computational Statistics.