[112]   T. Filla, H. Schwender und O. Kuß. Balancing Versus Modelling in Weighted Analysis of Non-Randomised Studies with Survival Outcomes: A Simulation Study. Statistics in Medicine, 43:3140–3163, 2024. https://doi.org/10.1002/sim.10110.

[111]   M. Lau, T. Schikowski und H. Schwender. logicDT: A Procedure for Identifying Reponse-Associated Interactions Between Binary Predictors. Machine Learning, 113:933–992, 2024. https://doi.org/10.1007/s10994-023-06488-6.

[110]   S.A. Sayyed, F.A. Kinny, A.R. Sharkas, H. Schwender, R. Woltersdorf, C. Ritter und S. Läer. Vaccination Training for Pharmacy Undergraduates as a Compulsory Part of the Curriculum? – A Multicentric Observation. Pharmacy, 12:12, 2024. https://doi.org/10.3390/pharmacy12010012.

[109]   A.R. Sharkas, B. Ali Sherazi, S.A. Sayyed, F. Kinny, M. Steichert, H. Schwender und S. Läer. Development and Evaluation of Interprofessional High-Fidelity Simulation Course on Medication Therapy Consultation for German Pharmacy and Medical Students-A Randomized Controlled Study. Pharmacy, 12:128, 2024. https://doi.org/10.3390/pharmacy12040128.

[108]   A. Dabidian, E. Obarcanin, B. Ali Sherazi, S. Schlottau, H. Schwender und S. Läer. Impact of a Digital Tool on Pharmacy Students’ Ability to Perform Medication Reviews: A Randomized Controlled Trial. Healthcare, 11:1968, 2023. https://doi.org/10.3390/healthcare11131968.

[107]   S. Hamdan, B.C. Love, G.G. von Polier, S. Weis, H. Schwender, S.B. Eickhoff und K.R. Patil. Confound-Leakage: Confound Removal in Machine Learning Leads to Leakage. GigaScience, 12:giad071, 2023. https://doi.org/10.1093/gigascience/giad071.

[106]   M. Lau, S. Kress, T. Schikowski und H. Schwender. Efficient Gene-Environment Interaction Testing Through Bootstrap Aggregating. Scientific Reports, 13:937, 2023. https://doi.org/10.1038/s41598-023-28172-4.

[105]   S.A. Sayyed, A.R. Sharkas, B. Ali Sherazi, A. Dabidian, H. Schwender und Läer S. Development and Assessment of Innovative High-Fidelity Simulation Vaccination Course Integrating Emergency Cases for Pharmacy Undergraduates-A Randomized Controlled Study. Vaccines, 11:324, 2023. https://doi.org/10.3390/vaccines11020324.

[104]   J.B. Bothorn, H. Schwender, M. Graw, P. Kienbaum und B. Hartung. Cycling Under the Influence of Alcohol-Criminal Offenses in a German Metropolis. International Journal of Legal Medicine, 136:1121–1132, 2022. https://doi.org/10.1007/s00414-022-02828-8.

[103]   S. Kress, A. Hara, C. Wigmann, T. Sato, K. Suzuki, K.O. Pham, Q. Zhao, A. Areal, A. Tajima, H. Schwender, H. Nakamura und T. Schikowski. The Role of Polygenic Susceptibility on Air Pollution-Associated Asthma between German and Japanese Elderly Women. International Journal of Environmental Research and Public Health, 19:9869, 2022. https://doi.org/10.3390/ijerph19169869.

[102]   S. Kress, C. Wigmann, Q. Zhao, C. Herder, M.J. Abramson, H. Schwender und Schikowski T. Chronic Air Pollution-Induced Subclinical Airway Inflammation and Polygenic Susceptibility. Respiratory Research, 23:265, 2022. https://doi.org/10.1186/s12931-022-02179-3.

[101]   M. Lau, C. Wigmann, S. Kress, T. Schikowski und H. Schwender. Evaluation of Tree-Based Statistical Learning Methods for Constructing Genetic Risk Scores. BMC Bioinformatics, 23:97, 2022. https://doi.org/10.1186/s12859-022-04634-w.

[100]   E. Nicolaisen-Sobesky, A. Mihalik, S. Kharabian-Masouleh, F.S. Ferreira, F. Hoffstädter, H. Schwender, S. Maleki Balajoo, S.L. Valk, S.B. Eickhoff, B.T.T. Yeo, J. Mourao-Miranda und S. Genon. A Cross-Cohort Replicable and Heritable Latent Dimension Linking Behaviour to Multi-Featured Brain Structure. Communications Biology, 5:1297, 2022. https://doi.org/10.1038/s42003-022-04244-5.

[99]   P. Scheidemann, H. Schwender, S. Ritz-Timme, D. Kindgen-Milles und B. Hartung. Core Body Temperatures During Final Stages of Life – An Evaluation of Data from In-Hospital Decedents. International Journal of Legal Medicine, 136:1341–1350, 2022. https://doi.org/10.1007/s00414-022-02837-7.

[98]   K. Zube, T. Daldrup, M. Lau, R. Maatz, A. Tank, I. Steiner, H. Schwender und B. Hartung. E-Scooter Driving Under the Acute Influence of Alcohol – A Real-Driving Fitness Study. International Journal of Legal Medicine, 136:1281–1290, 2022. https://doi.org/10.1007/s00414-022-02792-3.

[97]   M. Bovenschen, H. Schwender, S. Ritz-Timme, K. Beseoglu und B. Hartung. Estimation of Time Since Death After a Post-Mortem Change in Ambient Temperature: Evaluation of a Back-Calculation Approach. Forensic Science International, 319:110656, 2021. https://doi.org/10.1016/j.forsciint.2020.110656.

[96]   M.A. Deters, E. Obarcanin, H. Schwender und S. Läer. EMDIA Case Series-Effective Medication Therapy Management (MTM) for Diabetes Type 2 Patients – A Proof of Concept Study. Pharmacy, 9:137, 2021. https://doi.org/10.3390/pharmacy9030137.

[95]   I. Farahani, S. Farahani, M.A. Deters, H. Schwender und S. Läer. Training Pharmacy Students in Self-Medication Counseling Using an Objective Structured Clinical Examination-Based Approach. Journal of Medical Education and Curricular Development, 8:23821205211016484, 2021. https://doi.org/10.1177/23821205211016484.

[94]   S. Farahani, I. Farahani, M.A. Deters, H. Schwender, B.B. Burckhardt und S. Läer. Blended Learning on Blood Pressure Measurement: Investigating Two In-Class Strategies in a Flipped Classroom-Like Setting to Teach Pharmacy Students Blood Pressure Measurement Skills. Healthcare, 9:822, 2021. https://doi.org/10.3390/healthcare9070822.

[93]   J. Wu, S.B. Eickhoff, F. Hoffstädter, K.R. Patil, H. Schwender, B.T.T. Yeo und S. Genon. A Connectivity-Based Psychometric Prediction Framework for Brain-Behavior Relationship Studies. Cerebral Cortex, 31:3732–3751, 2021. https://doi.org/10.1093/cercor/bhab044.

[92]   B.B. Burckhardt, A.M. Ciplea, A. Laven, L. Ablonczy, I. Klingmann, S. Läer, K. Kleine, M. Dalinghaus, M. Ðukic, J.M.P.J. Breur, M. van der Meulen, V. Swoboda, H. Schwender und F.B. Lagler. Simulation Training to Improve Informed Consent and Pharmacokinetic/Pharmacodynamic Sampling in Pediatric Trials. Frontiers in Pharmacology, 11:603042, 2020. https://doi.org/10.3389/fphar.2020.603042.

[91]   I. Farahani, S. Farahani, M.A. Deters, H. Schwender und S Läer. Efficacy of an Objective Structured Clinical Examination Training Approach for Training Pharmacy Students in Diabetes Mellitus Counseling: A Randomized Controlled Trial. Pharmacy, 8:229, 2020. https://doi.org/10.3390/pharmacy8040229.

[90]   I. Farahani, S. Läer, S. Farahani, H. Schwender und A. Laven. Blended Learning: Improving the Diabetes Mellitus Counseling Skills of German Pharmacy Students. Currents in Pharmacy Teaching and Learning, 12:963–974, 2020. https://doi.org/10.1016/j.cptl.2020.04.016.

[89]   S. Farahani, I. Farahani, B.B. Burckhardt, H. Schwender und S. Läer. Self-Instruction Video Versus Face-to-Face Instruction of Pharmacy Students’ Skills in Blood Pressure Measurement. Pharmacy, 8:217, 2020. https://doi.org/10.3390/pharmacy8040217.

[88]   B. Hartung, D. Rauschning, H. Schwender und S. Ritz-Timme. A Simple Approach to Use Hand Vein Patterns as a Tool for Identification. Forensic Science International, 307:110115, 2020. https://doi.org/10.1016/j.forsciint.2019.110115.

[87]   B. Hartung, H. Schwender, S. Ritz-Timme, L. Küppers, E.H. Roth und T. Daldrup. Ophthalmologic Examinations Under the Acute Influence of Alcohol. Legal Medicine, 46:101722, 2020. https://doi.org/10.1016/j.legalmed.2020.101722.

[86]   H.U. Klein, M. Schäfer, D.A. Bennett, H. Schwender und P.L. De Jager. Bayesian Integrative Analysis of Epigenomic and Transcriptomic Data Identifies Alzheimer’s Disease Candidate Genes and Networks. PLoS Computational Biology, 16:e1007771, 2020. https://doi.org/10.1371/journal.pcbi.1007771.

[85]   C. Castro Díez, F. Khalil, N. Makowski, H. Schwender, I. Jovanovic, M. Dalinghaus, J. Walsh, M. van der Meulen, M. Bajcetic, S.N. de Wildt und S. Läer. Pharmacotherapy in Paediatric Heart Failure: A Delphi Process. Cardiology in the Young, 29:869–876, 2019. https://doi.org/10.1017/S1047951119000660.

[84]   C. Castro Diez, F. Khalil, H. Schwender, M. Dalinghaus, I. Jovanovic, N. Makowski, C. Male, M. Bajcetic, M. van der Meulen, S.N. de Wildt, L. Ablonczy, A. Szatmari, I. Klingmann, J. Walsh und S. Läer. Pharmacotherapeutic Management of Paediatric Heart Failure and ACE-I Use Patterns: A European Survey. BMJ Paediatrics Open, 3:e000365, 2019. https://doi.org/10.1136/bmjpo-2018-000365.

[83]   A. Hüls, D. Sugiri, M.J. Abramson, B. Hoffmann, H. Schwender, K. Ickstadt, U. Krämer und T. Schikowski. Benefits of Improved Air Quality on Aging Lungs: Impacts of Genetics and Obesity. European Respiratory Journal, 53:1801780, 2019. https://doi.org/10.1183/13993003.01780-2018.

[82]   E.M. Hüßler, M. Schäfer, H. Schwender und P. Landgraf. BayMAP: A Bayesian Hierarchical Model for the Analysis of PAR-CLIP Data. Bioinformatics, 35:1992–2000, 2019. https://doi.org/10.1093/bioinformatics/bty904.

[81]   W. Kaisers, H. Schwender und H. Schaal. Hierarchical Clustering of DNA k-mer Counts in RNAseq Fastq Files Identifies Sample Heterogeneities. International Journal of Molecular Science, 19:3687, 2019. https://doi.org/10.3390/ijms19113687.

[80]   D. Liu, M. Wang, Y. Yuan, H. Schwender, H. Wang, P. Wang, Z. Zhou, J. Li, T. Wu, H. Zhu und T.H. Beaty. Gene-Gene Interaction Among Cell Adhesion Genes and Risk of Nonsyndromic Cleft Lip With or Without Cleft Palate in Chinese Case-Parent Trios. Molecular Genetics & Genomic Medicine, 7:e00872, 2019. https://doi.org/10.1002/mgg3.872.

[79]   A. Tank, T. Tietz, T. Daldrup, H. Schwender, F. Hellen, S. Ritz-Timme und B. Hartung. On the Impact of Cannabis Consumption on Traffic Safety: A Driving Simulator Study With Habitual Cannabis Consumers. International Journal of Legal Medicine, 133:1411–1420, 2019. https://doi.org/10.1007/s00414-019-02006-3.

[78]   T. Tietz, S. Selinski, K. Golka, J.G. Hengstler, S. Gripp, K. Ickstadt, I. Ruczinski und H. Schwender. Identification of Interactions of Binary Variables Associated With Survival Time Using survivalFS. Archives of Toxicology, 93:585–602, 2019. https://doi.org/10.1007/s00204-019-02398-6.

[77]   M.A. Deters, A. Laven, A. Castejon, W.R. Doucette, L.S. Ev, I. Krass, E. Mehuys, E. Obarcanin, H. Schwender und S. Läer. Effective Interventions for Diabetes Patients by Community Pharmacists: A Meta-analysis of Pharmaceutical Care Components. Annals of Pharmacotherapy, 52:198–211, 2018. https://doi.org/10.1177/1060028017733272.

[76]   L. Grube, R. Dellen, F. Kruse, H. Schwender, K. Stühler und G. Poschmann. Mining the Secretome of C2C12 Muscle Cells: Data Dependent Experimental Approach to Analyze Protein Secretion Using Label-Free Quantification and Peptide Based Analysis. Journal of Proteome Research, 17:879–890, 2018. https://doi.org/10.1021/acs.jproteome.7b00684.

[75]   A. Laven, M.A. Deters, O. Rose, H. Schwender, A. Smaranda, I. Waltering und S. Läer. PharmAdhere: Training German Community Pharmacists with Objective Structured Clinical Examinations. International Journal of Clinical Pharmacy, 40:1317–1327, 2018. https://doi.org/10.1007/s11096-018-0710-0.

[74]   D. Liu, H. Schwender, M. Wang, H. Wang, P. Wang, H. Zhu, Z. Zhou, J. Li, T. Wu und T.H. Beaty. Gene-Gene Interaction Between MSX1 and TP63 in Asian Case-Parent Trios with Nonsyndromic Cleft Lip with or without Cleft Palate. Birth Defects Research, 110:317–324, 2018. https://doi.org/10.1002/bdr2.1139.

[73]   D.P. Varikuti, S. Genon, A. Sotiras, H. Schwender, F. Hoffstädter, K.R. Patil, C. Jockwitz, S. Caspers, S. Moebus, K. Amunts, C. Davatzikos und S.B. Eickhoff. Evaluation of Non-Negative Matrix Factorization of Grey Matter in Age Prediction. Neuroimage, 173:394–410, 2018. https://doi.org/10.1016/j.neuroimage.2018.03.007.

[72]   M. Wang, D. Liu, H. Schwender, H. Wang, P. Wang, Z. Zhou, J. Li, T. Wu, H. Zhu und T.H. Beaty. Evaluating the Effect of Nicotinic Cholinergic Receptor Genes on the Risk of Nonsyndromic Cleft Lip With or Without Cleft Palate. Oral Diseases, 24:1068–1072, 2018. https://doi.org/10.1111/odi.12879.

[71]   P. Wang, T. Wu, H. Schwender, H. Wang, B. Shi, Z. Wang, Y. Yuan, D. Liu, M. Wang, J. Li, Z. Zhou, H. Zhu und T.H. Beaty. Evidence of Interaction Between Genes in the Folate/Homocysteine Metabolic Pathway in Controlling Risk of Nonsyndromic Oral Cleft. Oral Diseases, 24:820–828, 2018. https://doi.org/10.1111/odi.12831.

[70]   A. Hüls, U. Krämer, C. Carlsten, T. Schikowski, K. Ickstadt und H. Schwender. Comparison of Weighting Approaches for Genetic Risk Scores in Gene-Environment Interaction Studies. BMC Genetics, 18:115, 2017. https://doi.org/10.1186/s12863-017-0586-3.

[69]   W. Kaisers, H. Schwender und H. Schaal. Sample Size Estimation for Detection of Splicing Events in Transcriptome Sequencing Data. International Journal of Molecular Sciences, 18:E1900, 2017. https://doi.org/10.3390/ijms18091900.

[68]   W. Kaisers, J. Ptok, H. Schwender und H. Schaal. Validation of Splicing Events in Transcriptome Sequencing Data. International Journal of Molecular Sciences, 18:E1110, 2017. https://doi.org/10.3390/ijms18061110.

[67]   W. Kaisers, P. Boukamp, H.J. Stark, H. Schwender, J. Tigges, J. Krutmann und H. Schaal. Age, Gender and UV-Exposition Related Effects on Gene Expression in In Vivo Aged Short Term Cultivated Human Dermal Fibroblasts. PLOS ONE, 12:e0175657, 2017. https://doi.org/10.1371/journal.pone.0175657.

[66]   D. Liu, H. Wang, H. Schwender, M.L. Marazita, Z. Wang, Y. Yuan, P. Wang, K.Y. Liang, Y.H. Wu-Chou, M. Wang, B. Shi, H. Zhu, T. Wu und Beaty T.H. Gene-Gene Interaction of Single Nucleotide Polymorphisms in 16p13.3 may Contribute to the Risk of Non-Syndromic Cleft Lip with or without Cleft Palate in Chinese Case-Parent Trios. American Journal of Medical Genetics, Part A, 173:1489–1494, 2017. https://doi.org/10.1002/ajmg.a.38190.

[65]   M. Schäfer, H.U. Klein und H. Schwender. Integrative Analysis of Multiple Genomic Variables Using a Hierarchical Bayesian Model. Bioinformatics, 33:3220–3227, 2017. https://doi.org/10.1093/bioinformatics/btx356.

[64]   D.P. Varikuti, F. Hoffstaedter, S. Genon, H. Schwender, A.T. Reid und S.B. Eickhoff. Resting-State Test-Retest Reliability of A Priori Defined Canonical Networks over Different Preprocessing Steps. Brain Structure and Function, 222:1447–1468, 2017. https://doi.org/10.1007/s00429-016-1286-x.

[63]   S. Verhülsdonk, C. Lange-Asschenfeldt, C. Hölft, H. Schwender, T. Supprian, F. Hellen und E. Kalbe. Repressive Coping Does Not Contribute to Anosognosia in First-Diagnosis Patients with Alzheimer Disease. Alzheimer Disease and Associated Disorders, 31:249–255, 2017. https://doi.org/10.1097/WAD.0000000000000169.

[62]   Y. Xiao, M.A. Taub, I. Ruczinski, F. Begum, J.B. Hetmanski, H. Schwender, E.J. Leslie, D.C. Koboldt, J.C. Murray, M.L. Marazita und T.H. Beaty. Evidence for SNP-SNP Interaction Identified Through Targeted Sequencing of Cleft Case-Parent Trios. Genetic Epidemiology, 41:244–250, 2017. https://doi.org/10.1002/gepi.22023.

[61]   M.A. Deters, S. Läer, S. Hasanbegovic, V. Nemitz, P. Müller, M. Krüger, H. Schwender und E. Obarcanin. Diabetes Stewardship – Pharmaceutical Care of Adolescents with Type 1 Diabetes Mellitus Provided by Community Pharmacists. Medizinische Monatsschrift für Pharmazeuten, 39:477–482, 2016.

[60]   B. Hartung, H. Schwender, E. Pawlik, S. Ritz-Timme, N. Mindiashvili und T. Daldrup. Comparison of Venous Blood Alcohol Concentrations and Breath Alcohol Concentrations Measured with Draeger Alcotest 9510 DE Evidential. Forensic Science International, 258:64–67, 2016. https://doi.org/10.1016/j.forsciint.2015.10.026.

[59]   B. Hartung, H. Schwender, E.H. Roth, F. Hellen, N. Mindiashvili, A. Rickert, S. Ritz-Timme, A. Grieser, F. Monticelli und T. Daldrup. The Effect of Cannabis on Regular Cannabis Consumers’ Ability to Ride a Bicycle. International Journal of Legal Medicine, 130:711–721, 2016. https://doi.org/10.1007/s00414-015-1307-y.

[58]   L. Bu, Q. Chen, H. Wang, T. Zhang, J.B. Hetmanski, H. Schwender, M. Parker, Y.H. Chou, V. Yeow, S.S. Chong, B. Zhang, E.W. Jabs, A.F. Scott und T.H. Beaty. Novel Evidence of Association with Nonsyndromic Cleft Lip with or without Cleft Palate was Shown for Single Nucleotide Polymorphisms in FOXF2 Gene in an Asian Population. Birth Defects Research A: Clinical and Molecular Teratology, 103:857–862, 2015. https://doi.org/10.1002/bdra.23413.

[57]   S. Casjens, H. Schwender, T. Brüning und K. Ickstadt. A Novel Crossover Operator Based on Variable Importance for Evolutionary Multi-Objective Optimization with Tree Representation. Journal of Heuristics, 21:1–24, 2015.

[56]   T. Daldrup, E.H. Roth, H. Schwender, K.R. Maatz, N. Mindiashvili, A. Malczyk und B. Hartung. Zusammenhang zwischen der Höhe der Blutalkoholkonzentration und Beeinträchtigungen beim Führen eines Fahrrades. Blutalkohol, pages 1–9, 2015.

[55]   R. Gabdoulline, W. Kaisers, A. Gaspar, K. Meganathan, M.X. Doss, S. Jagtap, J. Hescheler, A. Sachinidis und H. Schwender. Differences in the Early Development of Human and Mouse Embryonic Stem Cells. PLoS One, 10:e0140803, 2015. https://doi.org/10.1371/journal.pone.0140803.

[54]   B. Hartung, N. Mindiashvili, R. Maatz, H. Schwender, E.H. Roth, S. Ritz-Timme, J. Moody, A. Malczyk und T. Daldrup. Regarding the Fitness to Ride a Bicycle Under the Acute Influence of Alcohol. International Journal of Legal Medicine, 129:471–480, 2015. https://doi.org/10.1007/s00414-014-1104-z.

[53]   B. Hartung, S. Ritz-Timme, H. Schwender, N. Mindiahvili und T. Daldrup. Differences Between Male and Female Cyclists’ Performances Under the Acute Influence of Alcohol. International Journal of Legal Medicine, 129:1011–1020, 2015. \\https://doi.org/10.1007/s00414-015-1182-6.

[52]   B. Hartung, H. Schwender, N. Mindiashvili, S. Ritz-Timme, A. Malczyk und T. Daldrup. The Effect of Alcohol Hangover on the Ability to Ride a Bicycle. International Journal of Legal Medicine, 129:751–758, 2015. https://doi.org/10.1007/s00414-015-1194-2.

[51]   W. Kaisers, H. Schaal und H. Schwender. rbamtools: An R Interface to samtools Enabling Fast Accumulative Tabulation of Splicing Events over Multiple RNA-Seq Samples. Bioinformatics, 31:1663–1664, 2015. https://doi.org/10.1093/bioinformatics/btu846.

[50]   E. Lang, M. Schäfer, H. Schwender, N.J. Neumann und J. Frank. Occurrence of Malignant Tumours in the Acute Hepatic Porphyrias. Journal of Inherited Metabolic Disease Reports, 22:17–22, 2015. https://doi.org/10.1007/8904\_2015\_406.

[49]    E. Obarcanin, M. Krüger, P. Müller, V. Nemitz, H. Schwender, S. Hasanbegovic, S. Kalajdzisalihovic und S. Läer. Pharmaceutical Care of Adolescents with Diabetes Mellitus Type 1: The DIADEMA Study, a Randomized Controlled Trial. International Journal of Clinical Pharmacy, 37:790–798, 2015. https://doi.org/10.1007/s11096-015-0122-3.

[48]   M. Schäfer, Y. Radon, T. Klein, S. Hermann, H. Schwender, P.J. Verveer und K. Ickstadt. A Bayesian Mixture Model to Quantify Parameters of Spatial Clustering. Computational Statistics and Data Analysis, 92:163–176, 2015. https://doi.org/10.1016/j.csda.2015.07.004.

[47]   S.G. Younkin, R.B. Scharpf, H. Schwender, M.M. Parker, A.F. Scott, M.L. Marazita, T.H. Beaty und I. Ruczinski. A Genome-Wide Study of Inherited Deletions Identified two Regions Associated with Nonsyndromic Isolated Oral Clefts. Birth Defects Research Part A: Clinical and Molecular Teratology, 103:276–283, 2015. https://doi.org/10.1002/bdra.23362.

[46]   Q. Chen, H. Wang, H. Schwender, T. Zhang, J.B. Hetmanski, Y.H. Wu-Chou, X. Ye, V. Yeow, S.S. Chong, B. Zhang, E.W. Jabs, M.M. Parker, A.F. Scott und T.H. Beaty. Joint Testing of Genotypic and Gene-Environment Interaction Identified Novel Association for BMP4 with Non-Syndromic CL/P in an Asian Population Using Data from an International Cleft Consortium. PLoS One, 9:e109038, 2014. https://doi.org/10.1371/journal.pone.0109038.

[45]   S. Herrmann, H. Schwender, K. Ickstadt und P. Müller. A Bayesian Changepoint Analysis of ChIP-Seq Data of Lamin B. Biochimica et Biophysica Acta, 1844(Part A):138–144, 2014. https://doi.org/10.1016/j.bbapap.2013.09.001.

[44]   M. Malina, K. Ickstadt, H. Schwender, M. Posch und M. Bogdan. Detection of Epistatic Effects with Logic Regression and a Classical Linear Regression Model. Statistical Applications in Genetics and Molecular Biology, 13:83–104, 2014. https://doi.org/10.1515/sagmb-2013-0028.

[43]   C. Neumann, M.A. Taub, S.G. Younkin, T.H. Beaty, I. Ruczinski und H. Schwender. Analytic Power and Sample Size Calculation for the Genotypic Transmission/Disequilibrium Test in Case-Parent Trio Studies. Biometrical Journal, 68:766–773, 2014. https://doi.org/10.1002/bimj.201300148.

[42]   H. Schwender, Q. Li, C. Neumann, M.A. Taub, S.G. Younkin, P. Berger, R.B. Scharpf, T.H. Beaty und I. Ruczinski. Detecting Disease Variants in Case-Parent Trio Studies Using the Bioconductor Software Package trio. Genetic Epidemiology, 38:516–522, 2014. https://doi.org/10.1002/gepi.21836.

[41]   M. Weilandt, A. Koch, H. Rieder, Deenen R., H. Schwender, G. Niegisch und W.A. Schulz. Target Genes of Recurrent Chromosomal Amplification and Deletion in Urothelial Carcinoma. Cancer Genomics & Proteomics, 11:141–153, 2014.

[40]   T. Wu, H. Schwender, I. Ruczinski, J.C. Murray, M.L. Marazita, R.G. Munger, J.B. Hetmanski, M.M. Parker, P. Wang, T. Murray, M. Taub, S. Li, R.J. Redett, M.D. Fallin, K.Y. Liang, Y.H. Wu-Chou, S.S. Chong, V. Yeow, X. Ye, H. Wang, S. Huang, E.W. Jabs, B. Shi, A.J. Wilcox, S.H. Jee, A.F. Scott und T.B. Beaty. Evidence of Gene-Environment Interaction for two Genes on Chromosome 4 and Environmental Tabacco Smoke in Controlling the Risk of Nonsyndromic Cleft Palate. PLoS One, 9:e88088, 2014. https://doi.org/10.1371/journal.pone.0088088.

[39]   S.G. Younkin, R.B. Scharpf, H. Schwender, M.M. Parker, A.F. Scott, M.L. Marazita, T.H. Beaty und I. Ruczinski. A Genome-Wide Study of De Novo Deletions Identifies a Candidate Locus for Non-Syndromic Isolated Cleft Lip/Palate Risk. BMC Genetics, 15:24, 2014. https://doi.org/10.1186/1471-2156-15-24.

[38]   T.H. Beaty, M.A. Taub, A.F Scott, J.C. Murray, M.L. Marazita, H. Schwender, M.M. Parker, J.B. Hetmanski, P. Balakrishnan, M.A. Mansilla, E. Mangold, K.U. Ludwig, M.M. Noethen, M. Rubini, N. Elcioglu und I. Ruczinski. Confirming Genes Influencing Risk to Cleft Lip with/without Cleft Palate in a Case-Parent Trio Study. Human Genetics, 132:771–781, 2013. https://doi.org/10.1007/s00439-013-1283-6.

[37]   Q. Li, H. Schwender, T.A. Louis, M.D. Fallin und I. Ruczinski. Efficient Simulation of Epistatic Interactions in Case-Parent Trios. Human Heredity, 75:12–22, 2013. https://doi.org/10.1159/000348789.

[36]   M.A. Taub, H.R. Schwender, S.G. Younkin, T.A. Louis und I. Ruczinski. On Multi-Marker Tests for Association in Case-Control Studies. Frontiers in Genetics, 4:252, 2013. https://doi.org/10.3389/fgene.2013.00252.

[35]   H. Wang, T. Zhang, T. Wu, J.B. Hetmanski, I. Ruczinski, H. Schwender, T. Murray, M.D. Fallin, R.J. Redett, G.V. Raymond, S.C. Jin, Y.H. Wu-Chou, P.K. Chen, V. Yeow, S.S. Chong, F.S. Cheah, S.H. Jee, E.W. Jabs, K.Y. Liang, A.F. Scott und T. H. Beaty. The FGF&FGFR Gene Family and Risk of Cleft Lip With/Without Cleft Palate. The Cleft Palate-Craniofacial Journal, 50:96–103, 2013. https://doi.org/10.1597/11-132.

[34]   H. Binder, T. Müller, H. Schwender, K. Golka, M. Steffens, J.G. Hengstler, K. Ickstadt und M. Schumacher. Cluster-Localized Sparse Logistic Regression for SNP Data. Statistical Applications in Genetics and Molecular Biology, 11:13, 2012. https://doi.org/10.1515/1544-6115.1694.

[33]   Q. Chen, H. Wang, J.B. Hetmanski, T. Zhang, I. Ruczinski, H. Schwender, K.Y. Liang, M.D. Fallin, R.J. Redett, G.V. Raymond, Y.H. Wu-Chou, P.K. Chen, V. Yeow, S.S. Chong, F.S. Cheah, E.W. Jabs, A.F. Scott und T.H. Beaty. BMP4 was Associated with NSCL/P in an Asian Population. PLoS One, 7:e35347, 2012. https://doi.org/10.1371/journal.pone.0035347.

[32]   T. Murray, M.A. Taub, I. Ruczinski, A.F. Scott, J.B. Hetmanski, H. Schwender, P.J. Patel, T.X. Zhang, R.G. Munger, A.J. Wilcox, X. Ye, H. Wang, T. Wu, Y.H. Wu-Chou, B. Shi, S.H. Jee, S.S. Chong, V. Yeow, J.C. Murray, M.L. Marazita und T.H. Beaty. Examining Markers in 8q24 Markers to Explain Differences in Evidence for Association with Cleft Lip with/without Cleft Palate Between Asians and Europeans. Genetic Epidemiology, 36:392–399, 2012. https://doi.org/10.1002/gepi.21633.

[31]   R.B. Scharpf, T.H. Beaty, H. Schwender, S.G. Younkin, A.F. Scott und I. Ruczinski. Fast Detection of De Novo Copy Number Variants from SNP Arrays for Case-Parent Trios. BMC Bioinformatics, 13:330, 2012. https://doi.org/10.1186/1471-2105-13-330.

[30]   H. Schwender. Imputing Missing Genotypes with Weighted K Nearest Neighbors. Journal of Toxicology and Environmental Health, Part A, 75:438–446, 2012. https://doi.org/10.1080/15287394.2012.674910.

[29]   H. Schwender. Buchrezension zu Applied Survival Analysis, 2. Auflage, von Hosmer, D. W. and Lemeshow, S. and May, S. Statistical Papers, 53:247–248, 2012. Buchrezension.

[28]   H. Schwender, S. Selinski, M. Blaszkewicz, R. Marchan, K. Ickstadt, K. Golka und J.G. Hengstler. Distinct SNP Combinations Confer Susceptibility to Urinary Bladder Cancer in Smokers and Non-Smokers. PLoS One, 7:e51880, 2012. https://doi.org/10.1371/journal.pone.0051880.

[27]   H. Schwender, M.A. Taub, T.H. Beaty, M.L. Marazita und I. Ruczinski. Rapid Testing of SNPs and Gene-Environment Interactions in Case-Parent Trio Data Based on Exact Analytic Parameter Estimation. Biometrics, 68:766–773, 2012. https://doi.org/10.1111/j.1541-0420.2011.01713.x.

[26]   M.A. Taub, H. Schwender, T.H. Beaty, T.A. Louis und I. Ruczinski. Incorporating Genotype Uncertainties into the Genotypic TDT for Main Effects and Gene-Environment Interactions. Genetic Epidemiology, 36:225–234, 2012. https://doi.org/10.1002/gepi.21615.

[25]   T.H. Beaty, I. Ruczinski, J.C. Murray, M.L. Marazita, R.G. Munger, J.B. Hetmanski, T. Murray, R.J. Redett, M.D. Fallin, K.Y. Liang, T. Wu, P.J. Patel, S.C. Jin, T.X. Zhang, H. Schwender, Y.H. Wu-Chou, P.K. Chen, S.S. Chong, F. Cheah, V. Yeow, X. Ye, H. Wang, S. Huang, E.W. Jabs, B. Shi, A.J. Wilcox, R.T. Lie, S.H. Jee, K. Christensen, K.F. Doheny, E.W. Pugh, H. Ling und A.F. Scott. Evidence for Gene-Environment Interaction in a Genome Wide Study of Isolated, Non-Syndromic Cleft Palate. Genetic Epidemiology, 35:469–478, 2011. https://doi.org/10.1002/gepi.20595.

[24]   C.C.M. Chen, H. Schwender, J. Keith, R. Nunkesser, K. Mengersen und P. Macrossan. Methods for Identifying SNP Interactions: A Review on Variations of Logic Regression, Random Forest and Bayesian Logistic Regression. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8:1580–1591, 2011. https://doi.org/10.1109/TCBB.2011.46.

[23]   K. Golka, S. Selinski, M.L. Lehmann, M. Blaszkewicz, R. Marchan, K. Ickstadt, H. Schwender, H.M. Bolt und J.H. Hengstler. Genetic Variants in Urinary Bladder Cancer: Collective Power of the "Wimp SNPs". Archives of Toxicology, 85:539–554, 2011. https://doi.org/10.1007/s00204-011-0676-3.

[22]   H. Schwender, K. Bowers, M.D. Fallin und I. Ruczinski. Importance Measures for Epistatic Interactions in Case-Parent Trios. Annals of Human Genetics, 75:122–132, 2011. https://doi.org/10.1111/j.1469-1809.2010.00623.x.

[21]   H. Schwender, I. Ruczinski und K. Ickstadt. Testing SNPs and Sets of SNPs for Importance in Association Studies. Biostatistics, 12:18–32, 2011. https://doi.org/10.1093/biostatistics/kxq042.

[20]   S. Selinski, M. Blaszkewicz, M.L. Lehmann, D. Ovsiannikov, O. Moormann, C. Guballa, A. Kress, M.C. Truss, H. Gerullis, T. Otto, D. Barski, G. Niegisch, P. Albers, S. Frees, W. Brenner, J.W. Thüroff, M. Angeli-Greaves, T. Seidel, G. Roth, H. Dietrich, R. Ebbinghaus, H.M. Prager, H.M. Bolt, M. Falkenstein, A. Zimmermann, T. Klein, T. Reckwitz, H.C. Roemer, D. Löhlein, W. Weistenhöfer, W. Schöps, S.A.H. Rizvi, M. Aslam, G. Banfi, I. Romics, M. Steffens, A.B. Ekici, A. Winterpacht, K. Ickstadt, H. Schwender, J.G. Hengstler und K. Golka. Genotyping NAT2 with only two SNPs (rs1041983 and rs1801280) Outperforms the Tagging SNP rs1495741 and is Equivalent to The Conventional 7-SNP NAT2 Genotype. Pharmacogenetics and Genomics, 21:673–678, 2011. https://doi.org/10.1097/FPC.0b013e3283493a23.

[19]   T.H. Beaty, J.C. Murray, M.L. Marazita, R.G. Munger, I. Ruczinski, J.B. Hetmanski, K.Y. Liang, T. Wu, T. Murray, M.D. Fallin, R.A. Redett, G. Raymond, H. Schwender, S.C. Jin, M.E. Cooper, M. Dunnwald, M.A. Mansilla, E. Leslie, S. Bullard, A.C. Lidral, L.M. Moreno, R. Menezes, A.R. Vieira, A. Petrin, A.J. Wilcox, R.T. Lie, E.W. Jabs, Y.H. Wu-Chou, P.K. Chen, H. Wang, X. Ye, S. Huang, V. Yeow, S.S. Chong, S.H. Jee, B. Shi, K. Christensen, M. Melbye, K.F. Doheny, E.W. Pugh, H. Ling, E.E. Castilla, A.E. Czeizel, L. Ma, L.L. Field, L. Brody, F. Pangilinan, J.L. Mills, A.M. Molloy, P.N. Kirke, J.M. Scott, M. Arcos-Burgos und A.F. Scott. A Genome-Wide Association Study of Cleft Lip With and Without Cleft Palate Identifies Risk Variants near MAFB and ABCA4. Nature Genetics, 42:525–529, 2010. https://doi.org/10.1038/ng.580.

[18]   M.L. Lehmann, S. Selinski, M. Blaszkewicz, M. Orlich, D. Ovsiannikov, O. Moormann, C. Guballa, A. Kress, M. C. Truss, H. Gerullis, T. Otto, D. Barski, G. Niegisch, P. Albers, S. Frees, W. Brenner, J. W. Thüroff, M. Angeli-Greaves, T. Seidel, G. Roth, H. Dietrich, R. Ebbinghaus, H. M. Prager, H. M. Bolt, M. Falkenstein, A. Zimmermann, T. Klein, T. Reckwitz, H. C. Roemer, D. Löhlein, W. Weistenhöfer, W. Schöps, A. E. Beg, M. Aslam, G. Banfi, I. Romics, K. Ickstadt, H. Schwender, A. Winterpacht, J. G. Hengstler und K. Golka. Rs710521[A] on Chromosome 3q28 close to TP63 is Associated with Increased Urinary Bladder Cancer Risk. Archives of Toxicology, 84:967–978, 2010. https://doi.org/10.1007/s00204-010-0617-6.

[17]   I.B. Petry, E. Fieber, M. Schmidt, M. Gehrmann, S. Gebhard, M. Hermes, W. Schormann, S. Selinski, E. Freis, H. Schwender, M. Brulport, K. Ickstadt, J. Rahnenführer, L. Maccoux, J. West, H. Kölbl, M. Schuler und J.G. Hengstler. ERBB2 Induces an Anti-Apoptotic Expression Pattern of Bcl-2 Family Members in Node Negative Breast Cancer. Clinical Cancer Research, 16:451–460, 2010. https://doi.org/10.1158/1078-0432.CCR-09-1617.

[16]   H. Schwender und I. Ruczinski. Logic Regression and Its Extensions. In J. C. Dunlap und J. H. Moore, editors, Computational Methods for Genetics of Complex Traits. Band 72 von Advances in Genetics, pages 25–45. Academic Press, 2010. doi:10.1016/B978-0-12-380862-2.00002-3.

[15]   E. Freis, S. Selinski, B. Weibert, U. Krahn, M. Schmidt, M. Gehrmann, M. Hermes, L. Maccoux, J. West, H. Schwender, J. Rahnenführer, J.G. Hengstler und K. Ickstadt. Effects of Metagene Calculation on Survival: An Integrative Approach Using Cluster, Promoter Analysis. In T. Manninen, C. Wiuf, H. Lähdesmäki, M. Grzegorczyk, J. Rahnenführer, M. Ahdesmäki, M.L. Linne und O. Yli-Harja, editors, Proceedings of the Sixth International Workshop on Computational Systems Biology, pages 47–50, 2009.

[14]   M. Schäfer, H. Schwender, S. Merk, C. Haferlach, K. Ickstadt und M. Dugas. Integrated Analysis of Copy Number Alterations and Gene Expression: A Bivariate Assessment of Equally Directed Abnormalities. Bioinformatics, 25:3228–3235, 2009. https://doi.org/10.1093/bioinformatics/btp592.

[13]   H. Schwender. Buchrezension zu Multiple Testing Procedures with Applications to Genomics von Dudoit, S. and van der Laan, M.J. Statistical Papers, 50:681–682, 2009. Buchrezension.

[12]   K. Ickstadt, M. Schäfer, A. Fritsch, H. Schwender, J. Abel, H.M. Bolt, T. Brüning, Y.D. Ko, H. Vetter und V. Harth. Statistical Methods for Detecting Genetic Interactions: A Head and Neck Squamous Cell Cancer Study. Journal of Toxicology and Environmental Health Part A, 71:803–815, 2008. https://doi.org/10.1080/15287390801985745.

[11]   T. Müller, H. Schwender und K. Ickstadt. Finding SNP Interactions. In M. Ahdesmäki, K. Strimmer, N. Radde, J. Rahnenführer, K. Klemm, H. Lähdesmäki und O. Yli-Harja, editors, Proceedings of the Fifth International Workshop on Computational Systems Biology, pages 109–112, 2008.

[10]   H. Schwender und K. Ickstadt. Empirical Bayes Analysis of Single Nucleotide Polymorphisms. BMC Bioinformatics, 9:144, 2008. https://doi.org/10.1186/1471-2105-9-144.

[9]   H. Schwender und K. Ickstadt. Identification of SNP Interactions Using Logic Regression. Biostatistics, 9:187–198, 2008. https://doi.org/10.1093/biostatistics/kxm024.

[8]   H. Schwender, K. Ickstadt und J. Rahnenführer. Classification with High-Dimensional Genetic Data: Assigning Patients and Genetic Features to Known Classes. Biometrical Journal, 50:911–926, 2008. Eingeladener Beitrag. https://doi.org/10.1002/bimj.200810475.

[7]   R. Nunkesser, T. Bernholt, H. Schwender, K. Ickstadt und I. Wegener. Detecting High-Order Interactions of Single Nucleotide Polymorphisms Using Genetic Programming. Bioinformatics, 23:3280–3288, 2007. https://doi.org/10.1093/bioinformatics/btm522.

[6]   K. Ickstadt, T. Müller und H. Schwender. Analyzing SNPs: Are There Needles in the Haystack? Chance, 19:21–26, 2006. Eingeladener Beitrag. https://doi.org/10.1080/09332480.2006.10722798.

[5]   H. Schwender und A. Belousov. Comparison of Preprocessing Methods for Affymetrix Microarrays. Chance, 19:15–20, 2006. https://doi.org/10.1080/09332480.2006.10722797.

[4]   H. Schwender, A. Krause und K. Ickstadt. Identifying Interesting Genes with siggenes. RNews, 6:45–50, 2006.

[3]   H. Schwender, S. Rabstein und K. Ickstadt. Do you Speak Genomish? Chance, 19:3–8, 2006. Eingeladener Beitrag. https://doi.org/10.1080/09332480.2006.10722794.

[2]   H. Schwender. Modifying Microarray Analysis Methods for Categorical Data – SAM and PAM for SNPs. In C. Weihs und W. Gaul, editors, Classification – The Ubiquitous Challenge, pages 370–377, Heidelberg, 2005. Springer.

[1]   H. Schwender, M. Zucknick, K. Ickstadt und H.M. Bolt. A Pilot Study on the Application of Statistical Classification Procedures to Molecular Epidemiological Data. Toxicology Letters, 151:291–299, 2004. https://doi.org/10.1016/j.toxlet.2004.02.021.