يعرض 1 - 20 نتائج من 170 نتيجة بحث عن '"Koenig, IR"', وقت الاستعلام: 0.50s تنقيح النتائج
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    Conference
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    Academic Journal

    المؤلفون: Hartmann, NA, Vens, M, König, IR

    المصدر: GMS Medizinische Informatik, Biometrie und Epidemiologie; VOL: 19; DOC14 /20231018/

    Relation: Butt AK, Wajid G, Khan AA. Why doctors find learning biostatistics and epidemiology difficult: Lessons learnt from CPSP workshop using CIPP model. Adv Health Prof Educ. 2016;2(1):3-9.; Feyer N, et al. Medizinische Statistik. In: DocCheck Community GmbH, edtor. DocCheck Flexikon. [updated 2018 May 30, cited 2022 July 17]. Available from: https://flexikon.doccheck.com/de/Medizinische_Statistik; Kumar L, Shahnawaz K, Choudhary SK, Sarker G, Barman SK, Singh JB. Attitudes toward biostatistics among post-graduate medical students in Kishanganj, Bihar. J Evol Med Dent Sci. 2014;3(3):758-61. DOI:10.14260/jemds/2014/1898; Li C, Wang L, Zhang Y, Li C, Xu Y, Shang L, Xia J. Assessment of a block curriculum design on medical postgraduates' perception towards biostatistics: a cohort study. BMC Med Educ. 2018 Jun;18(1):144. DOI:10.1186/s12909-018-1232-0; Miles S, Price GM, Swift L, Shepstone L, Leinster SJ. Statistics teaching in medical school: opinions of practising doctors. BMC Med Educ. 2010 Nov;10:75. DOI:10.1186/1472-6920-10-75; Msaouel P, Kappos T, Tasoulis A, Apostolopoulos AP, Lekkas I, Tripodaki ES, Keramaris NC. Assessment of cognitive biases and biostatistics knowledge of medical residents: a multicenter, cross-sectional questionnaire study. Med Educ Online. 2014;19:23646. DOI:10.3402/meo.v19.23646; Schmidt RL, Chute DJ, Colbert-Getz JM, Firpo-Betancourt A, James DS, Karp JK, Miller DC, Milner DA Jr, Smock KJ, Sutton AT, Walker BS, White KL, Wilson AR, Wojcik EM, Yared MA, Factor RE. Statistical Literacy Among Academic Pathologists: A Survey Study to Gauge Knowledge of Frequently Used Statistical Tests Among Trainees and Faculty. Arch Pathol Lab Med. 2017 Feb;141(2):279-87. DOI:10.5858/arpa.2016-0200-OA; Susarla SM, Lifchez SD, Losee J, Hultman CS, Redett RJ. Plastic Surgery Residents' Understanding and Attitudes Toward Biostatistics: A National Survey. Ann Plast Surg. 2016 Aug;77(2):231-6. DOI:10.1097/SAP.0000000000000386; Weiß C. Basiswissen Medizinische Statistik. 7th ed. Berlin: Springer; 2019. DOI:10.1007/978-3-662-56588-9; West CP, Ficalora RD. Clinician attitudes toward biostatistics. Mayo Clin Proc. 2007 Aug;82(8):939-43. DOI:10.4065/82.8.939; http://dx.doi.org/10.3205/mibe000253; http://nbn-resolving.de/urn:nbn:de:0183-mibe0002535; http://www.egms.de/en/journals/mibe/2023-19/mibe000253.shtml

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    Conference

    المصدر: 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); 20220821-20220825; sine loco [digital]; DOCAbstr. 69 /20220819/

    مصطلحات موضوعية: random forest, variable selection, ddc: 610

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    Conference

    المؤلفون: König, IR

    المصدر: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 110 /20210226/

  5. 5
    Conference

    المؤلفون: Kormilez, D, Laabs, BH, König, IR

    المصدر: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 85 /20210226/

    مصطلحات موضوعية: ddc: 610

    Relation: Breiman L. Random Forests. Mach Learn. 2001;45:5-32.; German Stroke Study Collaboration. Predicting Outcome after Acute Ischemic Stroke: An External Validation of Prognostic Models. Neurology. 2004;62:581-585.; Mentch L, Hooker G. Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests. J Mach Learn Res. 2016;17:1-41.; Wager S, Hastie T, Efron B. Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife. J Mach Learn Res. 2014;15:1625-1651.; http://dx.doi.org/10.3205/20gmds185; http://nbn-resolving.de/urn:nbn:de:0183-20gmds1857; http://www.egms.de/en/meetings/gmds2020/20gmds185.shtml

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    Conference

    المؤلفون: Brudermann, H, Rausch, TK, König, IR

    المصدر: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 84 /20210226/

    مصطلحات موضوعية: quality control, genome-wide association studies, ddc: 610

    Relation: Ziegler A, König IR, Thompson JR. Biostatistical aspects of genome-wide association studies. Biometrical Journal: Journal of Mathematical Methods in Biosciences. 2008;50(1):8-28. DOI:10.1002/bimj.200710398; Ziegler A, König IR, Pahlke F. A Statistical Approach to Genetic Epidemiology: Concepts and Applications, with an e-Learning Platform. 4th ed. Weinheim: John Wiley & Sons; 2012. Zugriff unter: http://gbv.eblib.com/patron/FullRecord.aspx?p=708055; http://dx.doi.org/10.3205/20gmds245; http://nbn-resolving.de/urn:nbn:de:0183-20gmds2457; http://www.egms.de/en/meetings/gmds2020/20gmds245.shtml

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    Conference

    المؤلفون: Rausch, TK, König, IR, Göpel, W, Gola, D

    المصدر: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 367 /20210226/

    مصطلحات موضوعية: ddc: 610

    Relation: Haworth S, Mitchell R et al. Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis. Nat Commun. 2019; 10:333.; Kerminen S, Martin AR, et al. Geographic Variation and Bias in the Polygenic Scores of Complex Diseases and Traits in Finland. Am J Hum Genet. 2019; 104(6):1169-81.; Steffens M, Lamina C, et al. SNP-Based Analysis of Genetic Substructure in the German Population. Hum Hered. 2006; 62(1):20-9.; http://dx.doi.org/10.3205/20gmds251; http://nbn-resolving.de/urn:nbn:de:0183-20gmds2511; http://www.egms.de/en/meetings/gmds2020/20gmds251.shtml

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    Conference

    المصدر: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 41 /20210226/

  9. 9
    Conference

    المؤلفون: Vens, M, Kretschmer, M, König, IR

    المصدر: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 358 /20210226/

    مصطلحات موضوعية: ddc: 610

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    Conference

    المؤلفون: Thiele, D, König, IR

    المصدر: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 437 /20210226/

    مصطلحات موضوعية: systematic review, left-censored, ddc: 610

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    Conference

    المؤلفون: Kuete Fouodo, CJ, König, IR, Wright, MN

    المصدر: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 478 /20210226/

    مصطلحات موضوعية: random forests, dissimilarity, ddc: 610

  12. 12
    Conference

    المؤلفون: Laabs, BH, Westenberger, A, König, IR

    المصدر: 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); 20210926-20210930; sine loco [digital]; DOCAbstr. 174 /20210924/

    مصطلحات موضوعية: random forest, representative trees, tree distance, ddc: 610

    Relation: Banerjee M, Ding Y, Noone A-M. Identifying representative trees from ensembles. Stat Med. 2012;31(15):1601-16.; Laabs BH, Klein C, Pozojevic J, Domingo A, Brüggemann N, Grütz K, et al. Identifying genetic modifiers of age-associated penetrance in X-linked dystonia-parkinsonism. Nat Commun. 2021;12:3216. DOI:10.1038/s41467-021-23491-4; Laabs BH, König IR. Identification of representative trees in random forests based on a new tree-based distance measure. In: 67. Biometrisches Kolloquium; 2021; Münster. p. 24. Available from: https://www.biometrisches-kolloquium2021.de/wp-content/uploads/2021/03/BK2021_Book_of_Abstracts_updated.pdf; http://dx.doi.org/10.3205/21gmds008; http://nbn-resolving.de/urn:nbn:de:0183-21gmds0089; http://www.egms.de/en/meetings/gmds2021/21gmds008.shtml

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    Conference

    المصدر: 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); 20210926-20210930; sine loco [digital]; DOCAbstr. 139 /20210924/

    مصطلحات موضوعية: unsupervised random forests, ddc: 610

    Relation: Shi T, Horvath S. Unsupervised Learning with Random Forest Predictors. Journal of Computational and Graphical Statistics. 2006;15(1):118-38.; http://dx.doi.org/10.3205/21gmds089; http://nbn-resolving.de/urn:nbn:de:0183-21gmds0898; http://www.egms.de/en/meetings/gmds2021/21gmds089.shtml

  14. 14
    Conference

    المؤلفون: Thiele, D, König, IR

    المصدر: 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); 20210926-20210930; sine loco [digital]; DOCAbstr. 149 /20210924/

    مصطلحات موضوعية: left-censored, systematic review, simulation study, PRISMA, ddc: 610

    Relation: Fuchs O, Bahmer T, Weckmann M, Dittrich AM, Schaub B, Rösler B, et al. The all age asthma cohort (ALLIANCE) -from early beginnings to chronic disease: a longitudinal cohort study. BMC Pulm Med. 2018;18(1):140. DOI:10.1186/s12890-018-0705-6; Lee MJ, Rahbar MH, Brown M, Gensler L, Weisman M, Diekman L, et al. A multiple imputation method based on weighted quantile regression models for longitudinal censored biomarker data with missing values at early visits. BMC Med Res Methodol. 2018;18(1):8. DOI:10.1186/s12874-017-0463-9; Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. DOI:10.1136/bmj.n71; Vargas AJ, Harris CC. Biomarker development in the precision medicine era: lung cancer a case study. Nat Rev Cancer. 2016;16(8):525-537. DOI:10.1038/nrc.2016.56; http://dx.doi.org/10.3205/21gmds096; http://nbn-resolving.de/urn:nbn:de:0183-21gmds0965; http://www.egms.de/en/meetings/gmds2021/21gmds096.shtml

  15. 15
    Conference

    المؤلفون: Rausch, TK, König, IR, Göpel, W

    المصدر: 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); 20210926-20210930; sine loco [digital]; DOCAbstr. 196 /20210924/

    مصطلحات موضوعية: Polygenic Risk Scores, ddc: 610

    Relation: Buniello A, MacArthur JAL, Cerezo M, Harris LW, Hayhurst J, Malangone C, et al. The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res. 2019;47(D1):D1005-D1012. DOI:10.1093/nar/gky1120; Haworth S, Mitchell R, Corbin L, Wade KH, Dudding T, Budu-Aggrey A, et al. Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis. Nat Commun. 2019;10:333. DOI:10.1038/s41467-018-08219-1; Kerminen S, Martin AR, Koskela J, Ruotsalainen SE, Havulinna AS, Surakka I et al. Geographic Variation and Bias in the Polygenic Scores of Complex Diseases and Traits in Finland. Am J Hum Genet. 2019;104(6):1169-81. DOI:10.1016/j.ajhg.2019.05.001; Lambert SA, Gil L, Jupp S, Ritchie SC, Xu Y, Buniello A et al. The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation. Nat Genet. 2021;53:420-5. DOI:10.1038/s41588-021-00783-5; Steffens M, Lamina C, Illig T, Bettecken T, Vogler R, Entz P et al. SNP-Based Analysis of Genetic Substructure in the German Population. Hum Hered. 2006;62(1):20-9. DOI:10.1159/000095850; http://dx.doi.org/10.3205/21gmds107; http://nbn-resolving.de/urn:nbn:de:0183-21gmds1079; http://www.egms.de/en/meetings/gmds2021/21gmds107.shtml

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