On multi-marker tests for association in case-control studies von Taub, Margaret A, Schwender, Holger R, Younkin, Samuel G, Louis, Thomas A, Ruczinski, Ingo

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Evaluation of non-negative matrix factorization of grey matter in age prediction von Varikuti, Deepthi P., Genon, Sarah, Sotiras, Aristeidis, Schwender, Holger, Hoffstaedter, Felix, Patil, Kaustubh R., Jockwitz, Christiane, Caspers, Svenja, Moebus, Susanne, Amunts, Katrin, Davatzikos, Christos, Eickhoff, Simon B.

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Effective Interventions for Diabetes Patients by Community Pharmacists: A Meta-analysis of Pharmaceutical Care Components von Deters, Maira Anna, Laven, Anna, Castejon, Ana, Doucette, William R., Ev, Lisiane Slveira, Krass, Ines, Mehuys, Els, Obarcanin, Emina, Schwender, Holger, Laeer, Stephanie

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A Connectivity-Based Psychometric Prediction Framework for Brain-Behavior Relationship Studies von Wu, Jianxiao, Eickhoff, Simon B., Hoffstaedter, Felix, Patil, Kaustubh R., Schwender, Holger, Yeo, B. T. Thomas, Genon, Sarah

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A genome-wide association study of cleft lip with and without cleft palate identifies risk variants near MAFB and ABCA4 von Beaty, Terri H, Murray, Jeffrey C, Marazita, Mary L, Munger, Ronald G, Ruczinski, Ingo, Hetmanski, Jacqueline B, Liang, Kung Yee, Wu, Tao, Murray, Tanda, Fallin, M Daniele, Redett, Richard A, Raymond, Gerald, Schwender, Holger, Jin, Sheng-Chih, Cooper, Margaret E, Dunnwald, Martine, Mansilla, Maria A, Leslie, Elizabeth, Bullard, Stephen, Lidral, Andrew C, Moreno, Lina M, Menezes, Renato, Vieira, Alexandre R, Petrin, Aline, Wilcox, Allen J, Lie, Rolv T, Jabs, Ethylin W, Wu-Chou, Yah Huei, Chen, Philip K, Wang, Hong, Ye, Xiaoqian, Huang, Shangzhi, Yeow, Vincent, Chong, Samuel S, Jee, Sun Ha, Shi, Bing, Christensen, Kaare, Melbye, Mads, Doheny, Kimberly F, Pugh, Elizabeth W, Ling, Hua, Castilla, Eduardo E, Czeizel, Andrew E, Ma, Lian, Field, L Leigh, Brody, Lawrence, Pangilinan, Faith, Mills, James L, Molloy, Anne M, Kirke, Peadar N, Scott, John M, Arcos-Burgos, Mauricio, Scott, Alan F

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Methods for Identifying SNP Interactions: A Review on Variations of Logic Regression, Random Forest and Bayesian Logistic Regression von Chen, C. C. M., Schwender, H., Keith, J., Nunkesser, R., Mengersen, K., Macrossan, P.

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Confound-leakage: confound removal in machine learning leads to leakage von Hamdan, Sami, Love, Bradley C, von Polier, Georg G, Weis, Susanne, Schwender, Holger, Eickhoff, Simon B, Patil, Kaustubh R

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Evidence for gene-environment interaction in a genome wide study of nonsyndromic cleft palate von Beaty, Terri H., Ruczinski, Ingo, Murray, Jeffrey C., Marazita, Mary L., Munger, Ronald G., Hetmanski, Jacqueline B., Murray, Tanda, Redett, Richard J., Fallin, M. Daniele, Liang, Kung Yee, Wu, Tao, Patel, Poorav J., Jin, Sheng-Chih, Zhang, Tian Xiao, Schwender, Holger, Wu-Chou, Yah Huei, Chen, Philip K., Chong, Samuel S., Cheah, Felicia, Yeow, Vincent, Ye, Xiaoqian, Wang, Hong, Huang, Shangzhi, Jabs, Ethylin W., Shi, Bing, Wilcox, Allen J., Lie, Rolv T., Jee, Sun Ha, Christensen, Kaare, Doheny, Kimberley F., Pugh, Elizabeth W., Ling, Hua, Scott, Alan F.

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Confound-leakage: Confound Removal in Machine Learning Leads to Leakage von Hamdan, Sami, Love, Bradley C, von Polier, Georg G, Weis, Susanne, Schwender, Holger, Eickhoff, Simon B, Patil, Kaustubh R

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Erratum: A genome-wide association study of cleft lip with and without cleft palate identifies risk variants near MAFB and ABCA4 von Beaty, Terri H, Murray, Jeffrey C, Marazita, Mary L, Munger, Ronald G, Hetmanski, Ingo Ruczinski Jacqueline B, Liang, Kung Yee, Wu, Tao, Murray, Tanda, Fallin, M Daniele, Redett, Richard A, Raymond, Gerald, Schwender, Holger, Jin, Shin C, Cooper, Margaret E, Dunnwald, Martine, Mansilla, Maria A, Leslie, Elizabeth, Bullard, Stephen, Lidral, Andrew C, Moreno, Lina M, Menezes, Renato, Vieira, Alexandre R, Petrin, Aline, Wilcox, Allen J, Lie, Rolv T, Jabs, Ethylin W, Wu-Chou, Yah Huei, Chen, Philip K, Wang, Hong, Ye, Xiaoqian, Huang, Shangzhi, Yeow, Vincent, Chong, Samuel S, Jee, Sun Ha, Shi, Bing, Christensen, Kaare, Melbye, Mads, Doheny, Kimberly F, Pugh, Elizabeth W, Ling, Hua, Castilla, Eduardo E, Czeizel, Andrew E, Ma, Lian, Field, L Leigh, Brody, Lawrence, Pangilinan, Faith, Mills, James L, Molloy, Anne M, Kirke, Peadar N, Scott, James M, Arcos-Burgos, Mauricio, Scott, Alan F

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Supporting data for "Confound-leakage: Confound Removal in Machine Learning Leads to Leakage" von Sami, Hamdan, Bradley, Love C, Von Polier G Georg, Susanne, Weis, Holger, Schwender, Simon, Eickhoff B, Kaustubh, Patil R

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Confound-leakage: Confound Removal in Machine Learning Leads to Leakage von Hamdan, Sami, Love, Bradley C, von Polier, Georg G, Weis, Susanne, Schwender, Holger, Eickhoff, Simon B, Patil, Kaustubh R

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Region-wise Connectivity-based Psychometric Prediction using the Julich-Brain Cytoarchitectonic Atlas (v1.0) von Wu, Jianxiao, Eickhoff, Simon B., Hoffstaedter, Felix, Patil, Kaustubh R., Schwender, Holger, Yeo, B.T. Thomas, Genon, Sarah

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