Browsing by Author Mueller, Samuel

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Issue DateTitleAuthor(s)Citation
2016Cox regression with exclusion frequency-based weights to identify neuroimaging markers relevant to Huntington's disease onsetMueller, Samuel; Garcia, Tanya; Mathematics & StatisticsCox regression with exclusion frequency-based weights to identify neuroimaging markers relevant to Huntington's disease onset, Annals of Applied Statistics, vol.10, 4, 2016,pp 2130-2156
2015Determination of prognosis in metastatic melanoma through integration of clinico-pathologic, mutation, mRNA, microRNA, and protein informationJayawardana, Kaushala; Mann, Graham; Mueller, Samuel; Schramm, Sarah-Jane; Scolyer, Richard; Thompson, John; Yang, Jean Yee Hwa; Haydu, Lauren; Mathematics & Statistics; Western Clinical School: Westmead Institute for Medical Res; Mathematics & Statistics; Western Clinical School: Medicine (Westmead); Central Clinical School: Pathology; Central Clinical School: Surgery; Mathematics & StatisticsDetermination of prognosis in metastatic melanoma through integration of clinico-pathologic, mutation, mRNA, microRNA, and protein information, International Journal of Cancer, vol.136, 4, 2015,pp 863-874
2015The difference of symmetric quantiles under long range dependenceMueller, Samuel; Tarr, Garth; Weber, Neville; Mathematics & Statistics; Mathematics & Statistics; Mathematics & StatisticsThe difference of symmetric quantiles under long range dependence, Statistics and Probability Letters, vol.98, N/A, 2015,pp 144-150
2011Empirical Performance of Cross-Validation With Oracle Methods in a Genomics ContextMueller, Samuel; Carroll, Raymond; Chatterjee, Nilanjan; Martinez, Josue G; Sampson, Joshua; Mathematics & StatisticsEmpirical Performance of Cross-Validation With Oracle Methods in a Genomics Context, The American Statistician, vol.65, 4, 2011,pp 223-228
2012Exploring Multicollinearity Using a Random Matrix Theory ApproachMueller, Samuel; Feher, Kristen; Whelan, James; Mathematics & StatisticsExploring Multicollinearity Using a Random Matrix Theory Approach, Statistical Applications in Genetics and Molecular Biology, vol.11, 3, 2012,pp Article 15 - 1-Article 15 - 33
2016Fast and flexible methods for monotone polynomial fittingMueller, Samuel; Murray, Kevin; Turlach, Berwin; Mathematics & Statistics; Mathematics & StatisticsFast and flexible methods for monotone polynomial fitting, Journal of Statistical Computation and Simulation, vol.86, 15, 2016,pp 2946-2966
2017Hierarchical selection of fixed and random effects in generalized linear mixed modelsMueller, Samuel; Hui, Francis; Welsh, A H; Mathematics & StatisticsHierarchical selection of fixed and random effects in generalized linear mixed models, Statistica Sinica, vol.27, 2, 2017,pp 501-518
2014Identification of important regressor groups, subgroups and individuals via regularization methods: application to gut microbiome dataMueller, Samuel; Carroll, Raymond; Garcia, Tanya; Walzem, Rosemary; Mathematics & StatisticsIdentification of important regressor groups, subgroups and individuals via regularization methods: application to gut microbiome data, Bioinformatics, vol.30, 6, 2014,pp 831-837
2016Identification, Review, and Systematic Cross-Validation of microRNA Prognostic Signatures in Metastatic MelanomaJayawardana, Kaushala; Mann, Graham; Mueller, Samuel; Schramm, Sarah-Jane; Scolyer, Richard; Tembe, Varsha; Thompson, John; Yang, Jean Yee Hwa; Mathematics & Statistics; Western Clinical School: Westmead Institute for Medical Res; Mathematics & Statistics; Western Clinical School: Medicine (Westmead); Central Clinical School: Pathology; Western Clinical School: Westmead Institute for Medical Res; Central Clinical School: Surgery; Mathematics & StatisticsIdentification, Review, and Systematic Cross-Validation of microRNA Prognostic Signatures in Metastatic Melanoma, Journal of Investigative Dermatology, vol.136, 1, 2016,pp 245-254
2015Inferring data-specific micro-RNA function through the joint ranking of micro-RNA and pathways from matched micro-RNA and gene expression dataMueller, Samuel; Patrick, Ellis; Yang, Jean Yee Hwa; Buckley, Michael J.; Lin, David M; Mathematics & Statistics; Mathematics & Statistics; Mathematics & StatisticsInferring data-specific micro-RNA function through the joint ranking of micro-RNA and pathways from matched micro-RNA and gene expression data, Bioinformatics, vol.31, 17, 2015,pp 2822-2828
2014Influence of Measures of Significance based Weights in the Weighted LassoMueller, Samuel; Garcia, Tanya; Mathematics & StatisticsInfluence of Measures of Significance based Weights in the Weighted Lasso, Journal of the Indian Society of Agricultural Statistics, vol.68, 2, 2014,pp 131-144
2017Joint selection in mixed models using regularized PQLMueller, Samuel; Hui, Francis; Welsh, A H; Mathematics & StatisticsJoint selection in mixed models using regularized PQL, Journal of the American Statistical Association, vol.112, 519, 2017,pp 1323-1333
2011A method to measure the distribution of latencies of motor evoked potentials in manMueller, Samuel; Firmin, Lea; Rosler, Kai M; Mathematics & StatisticsA method to measure the distribution of latencies of motor evoked potentials in man, Clinical Neurophysiology, vol.122, N/A, 2011,pp 176-182
2013Model selection in linear mixed modelsMueller, Samuel; Scealy, Janice; Welsh, A H; Mathematics & StatisticsModel selection in linear mixed models, Statistical Science, vol.28, 2, 2013,pp 135-167
2017A multi-step classifier addressing cohort heterogeneity improves performance of prognostic biomarkers in three cancer typesMann, Graham; Mueller, Samuel; Ormerod, John; Patrick, Ellis; Schramm, Sarah-Jane; Scolyer, Richard; Yang, Jean Yee Hwa; Western Clinical School: Westmead Institute for Medical Res; Mathematics & Statistics; Mathematics & Statistics; Mathematics & Statistics; Western Clinical School: Medicine (Westmead); Central Clinical School: Pathology; Mathematics & StatisticsA multi-step classifier addressing cohort heterogeneity improves performance of prognostic biomarkers in three cancer types, Oncotarget, vol.8, 2, 2017,pp 2807-2815
2010A note on the effect on power of score tests via dimension reduction by penalized regression under the nullMueller, Samuel; Carroll, Raymond; Chatterjee, Nilanjan; Martinez, Josue G; Sampson, Joshua; Mathematics & StatisticsA note on the effect on power of score tests via dimension reduction by penalized regression under the null, The International Journal of Biostatistics, vol.6, 1, 2010,pp Art 12-1-Art 12-12
2016On generalized degrees of freedom with application in linear mixed models selectionMueller, Samuel; Ormerod, John; You, Chong; Mathematics & Statistics; Mathematics & Statistics; Mathematics & StatisticsOn generalized degrees of freedom with application in linear mixed models selection, Statistics and Computing, vol.26, 1, 2016,pp 199-210
2008On the max-domain of attraction of distributions with log-concave densitiesMueller, Samuel; Rufibach, Kaspar; Mathematics & StatisticsOn the max-domain of attraction of distributions with log-concave densities, Statistics & Probability Letters, vol.78,(N/A),2008,pp 1440-1444
2014On Variational Bayes Estimation and Variational Bayes Information Criteria for Linear Regression ModelsMueller, Samuel; Ormerod, John; You, Chong; Mathematics & Statistics; Mathematics & Statistics; Mathematics & StatisticsOn Variational Bayes Estimation and Variational Bayes Information Criteria for Linear Regression Models, Australian and New Zealand Journal of Statistics, vol.56, 1, 2014,pp 73-87
2009Partially linear model selection by the BootstrapMueller, Samuel; Vial, Celine; Mathematics & StatisticsPartially linear model selection by the Bootstrap, Australian & New Zealand Journal of Statistics, vol.51,(2),2009,pp 183-200