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  1. Conference proceedings: Investigating selection strategies for identifying biometrical techniques: a case study on group variable selection methods in R

    Buch, Gregor / Wild, Philipp

    2023  , Page(s) Abstr. 303

    Event/congress 68. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS); Heilbronn; Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie; 2023
    Keywords Medizin, Gesundheit ; Systematic review ; Selective review ; Group variable selection ; R
    Publishing date 2023-09-15
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/23gmds081
    Database German Medical Science

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  2. Article ; Online: Interpretability of bi-level variable selection methods.

    Buch, Gregor / Schulz, Andreas / Schmidtmann, Irene / Strauch, Konstantin / Wild, Philipp S

    Biometrical journal. Biometrische Zeitschrift

    2024  Volume 66, Issue 2, Page(s) e2300063

    Abstract: Variable selection is usually performed to increase interpretability, as sparser models are easier to understand than full models. However, a focus on sparsity is not always suitable, for example, when features are related due to contextual similarities ... ...

    Abstract Variable selection is usually performed to increase interpretability, as sparser models are easier to understand than full models. However, a focus on sparsity is not always suitable, for example, when features are related due to contextual similarities or high correlations. Here, it may be more appropriate to identify groups and their predictive members, a task that can be accomplished with bi-level selection procedures. To investigate whether such techniques lead to increased interpretability, group exponential LASSO (GEL), sparse group LASSO (SGL), composite minimax concave penalty (cMCP), and least absolute shrinkage, and selection operator (LASSO) as reference methods were used to select predictors in time-to-event, regression, and classification tasks in bootstrap samples from a cohort of 1001 patients. Different groupings based on prior knowledge, correlation structure, and random assignment were compared in terms of selection relevance, group consistency, and collinearity tolerance. The results show that bi-level selection methods are superior to LASSO in all criteria. The cMCP demonstrated superiority in selection relevance, while SGL was convincing in group consistency. An all-round capacity was achieved by GEL: the approach jointly selected correlated and content-related predictors while maintaining high selection relevance. This method seems recommendable when variables are grouped, and interpretation is of primary interest.
    Language English
    Publishing date 2024-03-22
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 131640-0
    ISSN 1521-4036 ; 0323-3847 ; 0006-3452
    ISSN (online) 1521-4036
    ISSN 0323-3847 ; 0006-3452
    DOI 10.1002/bimj.202300063
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  3. Conference proceedings: Regularized regression to identify U-shaped relationships of highly correlated predictors

    Buch, Gregor / Gieswinkel, Alexander / Wild, Philipp

    2023  , Page(s) Abstr. 298

    Event/congress 68. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS); Heilbronn; Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie; 2023
    Keywords Medizin, Gesundheit ; variable selection ; functional form ; collinearity toleration ; regularized regression
    Publishing date 2023-09-15
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/23gmds074
    Database German Medical Science

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  4. Article ; Online: A systematic review and evaluation of statistical methods for group variable selection.

    Buch, Gregor / Schulz, Andreas / Schmidtmann, Irene / Strauch, Konstantin / Wild, Philipp S

    Statistics in medicine

    2022  Volume 42, Issue 3, Page(s) 331–352

    Abstract: This review condenses the knowledge on variable selection methods implemented in R and appropriate for datasets with grouped features. The focus is on regularized regressions identified through a systematic review of the literature, following the ... ...

    Abstract This review condenses the knowledge on variable selection methods implemented in R and appropriate for datasets with grouped features. The focus is on regularized regressions identified through a systematic review of the literature, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A total of 14 methods are discussed, most of which use penalty terms to perform group variable selection. Depending on how the methods account for the group structure, they can be classified into knowledge and data-driven approaches. The first encompass group-level and bi-level selection methods, while two-step approaches and collinearity-tolerant methods constitute the second category. The identified methods are briefly explained and their performance compared in a simulation study. This comparison demonstrated that group-level selection methods, such as the group minimax concave penalty, are superior to other methods in selecting relevant variable groups but are inferior in identifying important individual variables in scenarios where not all variables in the groups are predictive. This can be better achieved by bi-level selection methods such as group bridge. Two-step and collinearity-tolerant approaches such as elastic net and ordered homogeneity pursuit least absolute shrinkage and selection operator are inferior to knowledge-driven methods but provide results without requiring prior knowledge. Possible applications in proteomics are considered, leading to suggestions on which method to use depending on existing prior knowledge and research question.
    MeSH term(s) Humans ; Computer Simulation
    Language English
    Publishing date 2022-12-22
    Publishing country England
    Document type Systematic Review ; Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 843037-8
    ISSN 1097-0258 ; 0277-6715
    ISSN (online) 1097-0258
    ISSN 0277-6715
    DOI 10.1002/sim.9620
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    Zs.A 1756: Show issues Location:
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  5. Conference proceedings: Bi-level variable selection with the sparse group penalty framework

    Buch, Gregor / Schulz, Andreas / Schmidtmann, Irene / Strauch, Konstantin / Wild, Philipp

    2022  , Page(s) Abstr. 54

    Event/congress 67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 13. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF); sine loco [digital]; Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie; 2022
    Keywords Medizin, Gesundheit ; Sparse group LASSO ; Bi-level variable selection ; Simulation study
    Publishing date 2022-08-19
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/22gmds078
    Database German Medical Science

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  6. Conference proceedings: A systematic review and evaluation of methods for group variable selection

    Buch, Gregor / Schulz, Andreas / Schmidtmann, Irene / Strauch, Konstantin / Wild, Philipp

    2021  , Page(s) Abstr. 198

    Event/congress 66. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 12. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF); sine loco [digital]; Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie; 2021
    Keywords Medizin, Gesundheit ; systematic review ; group variable selection ; simulation study
    Publishing date 2021-09-24
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/21gmds097
    Database German Medical Science

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  7. Article ; Online: Heart rate variability: reference values and role for clinical profile and mortality in individuals with heart failure.

    Zeid, Silav / Buch, Gregor / Velmeden, David / Söhne, Jakob / Schulz, Andreas / Schuch, Alexander / Tröbs, Sven-Oliver / Heidorn, Marc William / Müller, Felix / Strauch, Konstantin / Coboeken, Katrin / Lackner, Karl J / Gori, Tommaso / Münzel, Thomas / Prochaska, Jürgen H / Wild, Philipp S

    Clinical research in cardiology : official journal of the German Cardiac Society

    2023  

    Language English
    Publishing date 2023-07-09
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2213295-8
    ISSN 1861-0692 ; 1861-0684
    ISSN (online) 1861-0692
    ISSN 1861-0684
    DOI 10.1007/s00392-023-02248-7
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    Ui IV Zs 10: Show issues Location:
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  8. Article ; Online: FEV

    Heidorn, Marc W / Steck, Stefanie / Müller, Felix / Tröbs, Sven-Oliver / Buch, Gregor / Schulz, Andreas / Schwuchow-Thonke, Sören / Schuch, Alexander / Strauch, Konstantin / Schmidtmann, Irene / Lackner, Karl J / Gori, Tommaso / Münzel, Thomas / Wild, Philipp S / Prochaska, Jürgen H

    Chest

    2021  Volume 161, Issue 1, Page(s) 179–189

    Abstract: Background: COPD is an established predictor of clinical outcome in patients with chronic heart failure (HF). However, little evidence is available about the predictive value of FEV: Research question: Is pulmonary function related to the progression ...

    Abstract Background: COPD is an established predictor of clinical outcome in patients with chronic heart failure (HF). However, little evidence is available about the predictive value of FEV
    Research question: Is pulmonary function related to the progression of chronic HF?
    Study design and methods: The MyoVasc study (ClinicalTrials.gov Identifier: NCT04064450) is a prospective cohort study of HF. Information on pulmonary and cardiac functional and structural status was obtained by body plethysmography and echocardiography. The primary study end point was worsening of HF.
    Results: Overall 2,998 participants (age range, 35-84 years) with available FEV
    Interpretation: FEV
    Trial registry: ClinicalTrials.gov; No.: NCT04064450; URL: www.clinicaltrials.gov.
    MeSH term(s) Adult ; Aged ; Aged, 80 and over ; Chronic Disease ; Cohort Studies ; Disease Progression ; Echocardiography ; Female ; Follow-Up Studies ; Forced Expiratory Volume/physiology ; Heart Failure/epidemiology ; Heart Failure/physiopathology ; Humans ; Hypertrophy, Left Ventricular/epidemiology ; Hypertrophy, Left Ventricular/physiopathology ; Linear Models ; Lung/physiopathology ; Male ; Middle Aged ; Multivariate Analysis ; Plethysmography, Whole Body ; Prognosis ; Proportional Hazards Models ; Prospective Studies ; Pulmonary Disease, Chronic Obstructive/epidemiology ; Pulmonary Disease, Chronic Obstructive/physiopathology ; Risk Assessment ; Ventricular Dysfunction, Left/epidemiology ; Ventricular Dysfunction, Left/physiopathology
    Language English
    Publishing date 2021-08-17
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1032552-9
    ISSN 1931-3543 ; 0012-3692
    ISSN (online) 1931-3543
    ISSN 0012-3692
    DOI 10.1016/j.chest.2021.07.2176
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    Ui III Zs.45: Show issues Location:
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  9. Article ; Online: Chronic venous insufficiency, cardiovascular disease, and mortality: a population study.

    Prochaska, Jürgen H / Arnold, Natalie / Falcke, Andrea / Kopp, Sabrina / Schulz, Andreas / Buch, Gregor / Moll, Sophie / Panova-Noeva, Marina / Jünger, Claus / Eggebrecht, Lisa / Pfeiffer, Norbert / Beutel, Manfred / Binder, Harald / Grabbe, Stephan / Lackner, Karl J / Ten Cate-Hoek, Arina / Espinola-Klein, Christine / Münzel, Thomas / Wild, Philipp S

    European heart journal

    2021  Volume 42, Issue 40, Page(s) 4157–4165

    Abstract: Aims: Evidence regarding the health burden of chronic venous insufficiency (CVI), its clinical determinants, and impact on outcome is scarce.: Methods and results: Systematic phenotyping of CVI according to established CEAP (Clinical-Etiologic- ... ...

    Abstract Aims: Evidence regarding the health burden of chronic venous insufficiency (CVI), its clinical determinants, and impact on outcome is scarce.
    Methods and results: Systematic phenotyping of CVI according to established CEAP (Clinical-Etiologic-Anatomic-Pathophysiologic) classification was performed in 12 423 participants (age range: 40-80 years) of the Gutenberg Health Study from April 2012 to April 2017. Prevalence was calculated age- and sex-specifically. Multivariable Poisson regression models were calculated to evaluate the relation of CVI with cardiovascular comorbidities. Survival analyses were carried out to assess the CVI-associated risk of death. Replication of findings was done in an independent cohort study (MyoVasc, NCT04064450). The prevalence of telangiectasia/reticular, varicose veins, and CVI was 36.5% [95% confidence interval (CI), 35.6-37.4%], 13.3% [12.6-13.9%], and 40.8% [39.9-41.7%], respectively. Age, female sex, arterial hypertension, obesity, smoking, and clinically overt cardiovascular disease were identified as clinical determinants of CVI. Higher CEAP classes were associated with a higher predicted 10-year risk for incident cardiovascular disease in individuals free of cardiovascular disease (n = 9923). During a mean follow-up of 6.4 ± 1.6 years, CVI was a strong predictor of all-cause death independent of the concomitant clinical profile and medication [hazard ratio (HR) 1.46 (95% CI 1.19-1.79), P = 0. 0003]. The association of CVI with an increased risk of all-cause death was externally validated in the MyoVasc cohort [HR 1.51 (95% CI 1.11-2.05), P = 0.009].
    Conclusion: Chronic venous insufficiency is highly prevalent in the population and is associated with the presence of cardiovascular risk factors and disease. Individuals with CVI experience an elevated risk of death, which is independent of age and sex, and present cardiovascular risk factors and comorbidities.
    MeSH term(s) Adult ; Aged ; Aged, 80 and over ; Cardiovascular Diseases/epidemiology ; Chronic Disease ; Cohort Studies ; Female ; Humans ; Middle Aged ; Prevalence ; Varicose Veins ; Venous Insufficiency/epidemiology
    Language English
    Publishing date 2021-09-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 603098-1
    ISSN 1522-9645 ; 0195-668X
    ISSN (online) 1522-9645
    ISSN 0195-668X
    DOI 10.1093/eurheartj/ehab495
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