Personal information

predictive modeling, variable selection, model stability
Austria

Activities

Employment (5)

Medical University of Vienna: Vienna, AT

2019-07 to present | Postdoctoral researcher (Section for Clinical Biometrics)
Employment
Source: Self-asserted source
Christine Schilhart-Wallisch

Charité - Universitätsmedizin Berlin: Berlin, DE

2019-09-02 to 2020-08-31 | Postdoctoral researcher (Institute of Biometry and Clinical Epidemiology)
Employment
Source: Self-asserted source
Christine Schilhart-Wallisch

Medical University of Vienna: Vienna, AT

2015-10-15 to 2019-06 | Project assistant (Center for Medical Statistics, Informatics and Information Systems)
Employment
Source: Self-asserted source
Christine Schilhart-Wallisch

University of Vienna: Vienna, AT

2014-10-01 to 2015-09-30 | Project assistant (Department of Statistics and Operations Research)
Employment
Source: Self-asserted source
Christine Schilhart-Wallisch

University of Vienna: Vienna, AT

2010-10-01 to 2015-02-28 | Teaching assistant (Department of Statistics and Operations Research)
Employment
Source: Self-asserted source
Christine Schilhart-Wallisch

Education and qualifications (2)

Medical University of Vienna: Vienna, AT

2015-10-01 to 2019-06-26 | PhD (Center of Medical Statistics, Informatics and Information Systems)
Education
Source: Self-asserted source
Christine Schilhart-Wallisch

University of Vienna: Vienna, AT

2009-10-01 to 2015-09-30 | Mag. (Department of Statistics and Operations Research)
Education
Source: Self-asserted source
Christine Schilhart-Wallisch

Works (19)

Evaluating variable selection methods for multivariable regression models: A simulation study protocol

PLOS ONE
2024-08-09 | Journal article
Contributors: Theresa Ullmann; Suyan Tian; Georg Heinze; Lorena Hafermann; Christine Schilhart-Wallisch; Daniela Dunkler
Source: check_circle
Crossref

Survival Benefit of First Single-Organ Deceased Donor Kidney Transplantation Compared with Long-term Dialysis Across Ages in Transplant-Eligible Patients with Kidney Failure

JAMA Network Open
2022 | Journal article
EID:

2-s2.0-85139570566

Part of ISSN: 25743805
Contributors: Haller, M.C.; Strohmaier, S.; Wallisch, C.; Kammer, M.; Geroldinger, A.; Heinze, G.; Oberbauer, R.; Haller, M.C.
Source: Self-asserted source
Christine Schilhart-Wallisch via Scopus - Elsevier

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

Journal of Clinical Epidemiology
2022-05 | Journal article
Contributors: Maria C. Haller; Constantin Aschauer; Christine Wallisch; Karen Leffondré; Maarten van Smeden; Rainer Oberbauer; Georg Heinze
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Biomarker-Based Models for Preoperative Assessment of Adnexal Mass: A Multicenter Validation Study

Cancers
2022-03-31 | Journal article
Contributors: Rafał Watrowski; Eva Obermayr; Christine Wallisch; Stefanie Aust; Nicole Concin; Elena Ioana Braicu; Toon Van Gorp; Annette Hasenburg; Jalid Sehouli; Ignace Vergote et al.
Source: check_circle
Crossref
grade
Preferred source (of 3)‎

Review of guidance papers on regression modeling in statistical series of medical journals

PLOS ONE
2022-01-24 | Journal article
Contributors: Christine Wallisch; Tim Mathes; Paul Bach; Lorena Hafermann; Nadja Klein; Willi Sauerbrei; Ewout W. Steyerberg; Georg Heinze; Geraldine Rauch
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Development and internal validation of an algorithm to predict intraoperative risk of inadvertent hypothermia based on preoperative data

Scientific Reports
2021 | Journal article
EID:

2-s2.0-85119114036

Part of ISSN: 20452322
Contributors: Wallisch, C.; Zeiner, S.; Scholten, P.; Dibiasi, C.; Kimberger, O.
Source: Self-asserted source
Christine Schilhart-Wallisch via Scopus - Elsevier

Systematic review of education and practical guidance on regression modeling for medical researchers who lack a strong statistical background: Study protocol

PLoS ONE
2021 | Journal article
EID:

2-s2.0-85098915078

Part of ISSN: 19326203
Contributors: Bach, P.; Wallisch, C.; Klein, N.; Hafermann, L.; Sauerbrei, W.; Steyerberg, E.W.; Heinze, G.; Rauch, G.
Source: Self-asserted source
Christine Schilhart-Wallisch via Scopus - Elsevier

The roles of predictors in cardiovascular risk models - a question of modeling culture?

BMC Medical Research Methodology
2021 | Journal article
EID:

2-s2.0-85121469570

Part of ISSN: 14712288
Contributors: Wallisch, C.; Agibetov, A.; Dunkler, D.; Haller, M.; Samwald, M.; Dorffner, G.; Heinze, G.
Source: Self-asserted source
Christine Schilhart-Wallisch via Scopus - Elsevier

Selection of variables for multivariable models: Opportunities and limitations in quantifying model stability by resampling

Statistics in Medicine
2021-01-30 | Journal article
Contributors: Christine Wallisch; Daniela Dunkler; Geraldine Rauch; Riccardo de Bin; Georg Heinze
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Prediction models for diagnosis and prognosis of covid-19: Systematic review and critical appraisal

The BMJ
2020 | Journal article
EID:

2-s2.0-85083072038

Part of ISSN: 17561833 09598146
Contributors: Wynants, L.; Van Calster, B.; Collins, G.S.; Riley, R.D.; Heinze, G.; Schuit, E.; Bonten, M.M.J.; Damen, J.A.A.; Debray, T.P.A.; De Vos, M. et al.
Source: Self-asserted source
Christine Schilhart-Wallisch via Scopus - Elsevier

Publisher Correction: Re-estimation improved the performance of two Framingham cardiovascular risk equations and the Pooled Cohort equations: A nationwide registry analysis (Scientific Reports, (2020), 10, 1, (8140), 10.1038/s41598-020-64629-6)

Scientific Reports
2020 | Journal article
EID:

2-s2.0-85087055117

Part of ISSN: 20452322
Contributors: Wallisch, C.; Heinze, G.; Rinner, C.; Mundigler, G.; Winkelmayer, W.C.; Dunkler, D.
Source: Self-asserted source
Christine Schilhart-Wallisch via Scopus - Elsevier

Re-estimation improved the performance of two Framingham cardiovascular risk equations and the Pooled Cohort equations: A nationwide registry analysis

Scientific Reports
2020 | Journal article
EID:

2-s2.0-85084785905

Part of ISSN: 20452322
Contributors: Wallisch, C.; Heinze, G.; Rinner, C.; Mundigler, G.; Winkelmayer, W.C.; Dunkler, D.
Source: Self-asserted source
Christine Schilhart-Wallisch via Scopus - Elsevier

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

medRxiv
2020 | Other
EID:

2-s2.0-85098612286

Contributors: Wynants, L.; van Calster, B.; Bonten, M.M.J.; Collins, G.S.; Debray, T.P.A.; de Vos, M.; Haller, M.C.; Heinze, G.; Moons, K.G.M.; Riley, R.D. et al.
Source: Self-asserted source
Christine Schilhart-Wallisch via Scopus - Elsevier

Proteomics-Enriched Prediction Model for Poor Neurologic Outcome in Cardiac Arrest Survivors*

Critical Care Medicine
2020-02 | Journal article
Part of ISSN: 0090-3493
Source: Self-asserted source
Christine Schilhart-Wallisch
grade
Preferred source (of 2)‎

Predicting donor, recipient and graft survival in living donor kidney transplantation to inform pre‐transplant counseling: the donor and recipient linked iPREDICTLIVING tool ‐ a retrospective study

Transplant International
2020-01-22 | Journal article
Part of ISSN: 0934-0874
Part of ISSN: 1432-2277
Source: Self-asserted source
Christine Schilhart-Wallisch
grade
Preferred source (of 2)‎

Authors’ reply

Biometrical Journal
2019-11 | Journal article
Contributors: Georg Heinze; Christine Wallisch; Daniela Dunkler
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

External validation of two Framingham cardiovascular risk equations and the Pooled Cohort equations: A nationwide registry analysis

International Journal of Cardiology
2019-05 | Journal article
Part of ISSN: 0167-5273
Source: Self-asserted source
Christine Schilhart-Wallisch
grade
Preferred source (of 2)‎

Variable selection - A review and recommendations for the practicing statistician.

Biometrical journal. Biometrische Zeitschrift
2018-01 | Journal article
Source: Self-asserted source
Christine Schilhart-Wallisch via Europe PubMed Central
grade
Preferred source (of 2)‎

Chances and challenges of using routine data collections for renal health care research

Nephrology Dialysis Transplantation
2015 | Journal article
EID:

2-s2.0-84939610564

Contributors: Heinze, G.; Wallisch, C.; Kainz, A.; Hronsky, M.; Leffondré, K.; Oberbauer, R.; Mayer, G.
Source: Self-asserted source
Christine Schilhart-Wallisch via Scopus - Elsevier

Peer review (2 reviews for 2 publications/grants)

Review activity for BMC medicine (1)
Review activity for Diagnostic and prognostic research. (1)