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Samuel Müller

Showing results (1-10 of 25) with videos related to

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The Annals of Applied Statistics|March 7, 2022
COX REGRESSION WITH EXCLUSION FREQUENCY-BASED WEIGHTS TO IDENTIFY NEUROIMAGING MARKERS RELEVANT TO HUNTINGTON'S DISEASE ONSETTanya P Garcia, Samuel Müller
Statistical Applications in Genetics and Molecular Biology|October 24, 2012
Assessing modularity using a random matrix theory approachKristen Feher, James Whelan, Samuel Müller
Statistical Applications in Genetics and Molecular Biology|May 23, 2012
Exploring multicollinearity using a random matrix theory approachKristen Feher, James Whelan, Samuel Müller
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|June 19, 2012
The latency distribution of motor evoked potentials in patients with multiple sclerosisLea Firmin, Samuel Müller, Kai M Rösler
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|July 16, 2010
A method to measure the distribution of latencies of motor evoked potentials in manLea Firmin, Samuel Müller, Kai M Rösler
Biometrical Journal. Biometrische Zeitschrift|April 19, 2021
svReg: Structural varying-coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groupsRakheon Kim, Samuel Müller, Tanya P Garcia
Biostatistics (Oxford, England)|April 12, 2013
Controlling the local false discovery rate in the adaptive LassoJoshua N Sampson, Nilanjan Chatterjee, Raymond J Carroll, et al.
Mathematical Biosciences|June 27, 2006
Estimating the number of motor units using random sums with independently thinned termsSamuel Müller, Adriana Bastos Conforto, Werner J Z'graggen, et al.
Bioinformatics (Oxford, England)|October 29, 2013
Identification of important regressor groups, subgroups and individuals via regularization methods: application to gut microbiome dataTanya P Garcia, Samuel Müller, Raymond J Carroll, et al.
Biometrics|February 22, 2022
Screening methods for linear errors-in-variables models in high dimensionsLinh H Nghiem, Francis K C Hui, Samuel Müller, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
The Annals of Applied Statistics|March 7, 2022
COX REGRESSION WITH EXCLUSION FREQUENCY-BASED WEIGHTS TO IDENTIFY NEUROIMAGING MARKERS RELEVANT TO HUNTINGTON'S DISEASE ONSETTanya P Garcia, Samuel Müller
Statistical Applications in Genetics and Molecular Biology|October 24, 2012
Assessing modularity using a random matrix theory approachKristen Feher, James Whelan, Samuel Müller
Statistical Applications in Genetics and Molecular Biology|May 23, 2012
Exploring multicollinearity using a random matrix theory approachKristen Feher, James Whelan, Samuel Müller
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|June 19, 2012
The latency distribution of motor evoked potentials in patients with multiple sclerosisLea Firmin, Samuel Müller, Kai M Rösler
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|July 16, 2010
A method to measure the distribution of latencies of motor evoked potentials in manLea Firmin, Samuel Müller, Kai M Rösler
Biometrical Journal. Biometrische Zeitschrift|April 19, 2021
svReg: Structural varying-coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groupsRakheon Kim, Samuel Müller, Tanya P Garcia
Biostatistics (Oxford, England)|April 12, 2013
Controlling the local false discovery rate in the adaptive LassoJoshua N Sampson, Nilanjan Chatterjee, Raymond J Carroll, et al.
Mathematical Biosciences|June 27, 2006
Estimating the number of motor units using random sums with independently thinned termsSamuel Müller, Adriana Bastos Conforto, Werner J Z'graggen, et al.
Bioinformatics (Oxford, England)|October 29, 2013
Identification of important regressor groups, subgroups and individuals via regularization methods: application to gut microbiome dataTanya P Garcia, Samuel Müller, Raymond J Carroll, et al.
Biometrics|February 22, 2022
Screening methods for linear errors-in-variables models in high dimensionsLinh H Nghiem, Francis K C Hui, Samuel Müller, et al.
Pageof 3