Improving the analysis of designed studies by combining statistical modelling with study design information
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Age K. Smilde | Ben van Ommen | Ko Willems van Dijk | Robert Kleemann | Teake Kooistra | Uwe Thissen | Suzan Wopereis | Sjoerd A. A. van den Berg | Ivana Bobeldijk | A. Smilde | T. Kooistra | R. Kleemann | U. Thissen | S. Wopereis | B. Ommen | I. Bobeldijk | K. V. Dijk | S. Berg
[1] Ulrich Mansmann,et al. GlobalANCOVA: exploration and assessment of gene group effects , 2008, Bioinform..
[2] Anne-Laure Boulesteix,et al. Partial least squares: a versatile tool for the analysis of high-dimensional genomic data , 2006, Briefings Bioinform..
[3] Marieke E. Timmerman,et al. Four simultaneous component models for the analysis of multivariate time series from more than one subject to model intraindividual and interindividual differences , 2003 .
[4] J. J. Jansen,et al. ASCA: analysis of multivariate data obtained from an experimental design , 2005 .
[5] Age K. Smilde,et al. Statistical validation of megavariate effects in ASCA , 2007, BMC Bioinformatics.
[6] Peter de B. Harrington,et al. Analysis of variance–principal component analysis: A soft tool for proteomic discovery , 2005 .
[7] Gordon K. Smyth,et al. limmaGUI: A graphical user interface for linear modeling of microarray data , 2004, Bioinform..
[8] S. F. Buck. A Method of Estimation of Missing Values in Multivariate Data Suitable for Use with an Electronic Computer , 1960 .
[9] Robert Kleemann,et al. Rosuvastatin Reduces Atherosclerosis Development Beyond and Independent of Its Plasma Cholesterol–Lowering Effect in APOE*3-Leiden Transgenic Mice: Evidence for Antiinflammatory Effects of Rosuvastatin , 2003, Circulation.
[10] N. M. Faber,et al. Uncertainty estimation for multivariate regression coefficients , 2002 .
[11] Devanand L. Luthria,et al. UV spectral fingerprinting and analysis of variance-principal component analysis: a useful tool for characterizing sources of variance in plant materials. , 2008, Journal of agricultural and food chemistry.
[12] J. E. Jackson. A User's Guide to Principal Components , 1991 .
[13] B. Skagerberg,et al. Predictive ability of regression models. Part I: Standard deviation of prediction errors (SDEP) , 1992 .
[14] D. Rubin,et al. Statistical Analysis with Missing Data. , 1989 .
[15] H. Ahrens. Searle, S. R.: Linear Models. John Wiley & Sons, Inc., New York-London-Sydney-Toronto 1971. XXI, 532 S. $9.50 , 1974 .
[16] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[17] Age K. Smilde,et al. UvA-DARE ( Digital Academic Repository ) Assessment of PLSDA cross validation , 2008 .
[18] S. Kersten,et al. Nutrigenomics: goals and strategies , 2003, Nature Reviews Genetics.
[19] Henk A. L. Kiers,et al. Simultaneous Components Analysis , 1992 .
[20] A. Smilde,et al. Assessing the statistical validity of proteomics based biomarkers. , 2007, Analytica chimica acta.
[21] R. A. van den Berg,et al. Centering, scaling, and transformations: improving the biological information content of metabolomics data , 2006, BMC Genomics.
[22] G. Cruciani,et al. Predictive ability of regression models. Part II: Selection of the best predictive PLS model , 1992 .
[23] A. Scalbert,et al. A liquid chromatography-quadrupole time-of-flight (LC-QTOF)-based metabolomic approach reveals new metabolic effects of catechin in rats fed high-fat diets. , 2008, Journal of proteome research.
[24] H. Martens,et al. Modified Jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR) , 2000 .
[25] S. R. Searle. Linear Models , 1971 .
[26] J. Edward Jackson,et al. A User's Guide to Principal Components: Jackson/User's Guide to Principal Components , 2004 .
[27] Onno E. de Noord,et al. Multilevel component analysis and multilevel PLS of chemical process data , 2005 .
[28] R. Frants,et al. Transgenic mice carrying the apolipoprotein E3-Leiden gene exhibit hyperlipoproteinemia. , 1993, The Journal of biological chemistry.
[29] Yasunori Fujikoshi,et al. Two-way ANOVA models with unbalanced data , 1993, Discret. Math..
[30] Age K. Smilde,et al. ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data , 2005, Bioinform..
[31] D B Rubin,et al. Multiple imputation in health-care databases: an overview and some applications. , 1991, Statistics in medicine.
[32] A. Simopoulos. Omega-3 Fatty Acids in Inflammation and Autoimmune Diseases , 2002, Journal of the American College of Nutrition.
[33] A. Smilde,et al. Large-scale human metabolomics studies: a strategy for data (pre-) processing and validation. , 2006, Analytical chemistry.