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Stephan Morgenthaler

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Publications associées (53)

Cycling temperature capillary electrophoresis: A quantitative, fast and inexpensive method to detect mutations in mixed populations of human mitochondrial DNA

Stephan Morgenthaler, Paul Refinetti, Per Olaf Ekstrom

Cycling temperature capillary electrophoresis has been optimised for mutation detection in 76% of the mitochondrial genome. The method was tested on a mixed sample and compared to mutation detection by next generation sequencing. Out of 152 fragments 90 we ...

Elsevier Sci Ltd2016

Prediction of long-term memory scores in MCI based on resting-state fMRI

Stephan Morgenthaler, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Maria Giulia Preti

Resting-state functional MRI (rs-fMRI) opens a window on large-scale organization of brain function. However, establishing relationships between resting-state brain activity and cognitive or clinical scores is still a difficult task, in particular in terms ...

Elsevier Sci Ltd2016

The Gaia mission

Stephan Morgenthaler, Mikaël Martino, Daniela Werner, Shuangqing Liao

Gaia is a cornerstone mission in the science programme of the European Space Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was changed to a direct-imaging approach. Both the ...

Edp Sciences S A2016

Inference for binomial probability based on dependent Bernoulli random variables with applications to meta-analysis and group level studies

Stephan Morgenthaler

We study bias arising as a result of nonlinear transformations of random variables in random or mixed effects models and its effect on inference in group-level studies or in meta-analysis. The findings are illustrated on the example of overdispersed binomi ...

Wiley-Blackwell2016

New Measures of Brain Functional Connectivity by Temporal Analysis of Extreme Events

Stephan Morgenthaler, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville

2015

Stochastic optimization of sailing trajectories in an upwind regatta

Robert Dalang, Stephan Morgenthaler, Frédéric Dumas, Sylvain Sardy

In a sailboat race, the navigator's attempts to plot the fastest possible course are hindered by shifty winds. We present mathematical models appropriate for this situation, which use statistical analysis of wind fluctuations and are amenable to stochastic ...

Palgrave Macmillan2015

New measure to capture dynamic features of brain functional connectivity

Stephan Morgenthaler, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville

2015

The control of the scaled false discovery rate, a flexible and comprehensive error control and a powerful theoretical tool in multiple testing

Stephan Morgenthaler, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville

Given the large number of papers written over the last ten years on error controls in high dimensional multiple testing, it would be worthwhile to consider a single comprehensive technique that allows user flexibility in error control when dealing with big ...

2015

Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence

Stephan Morgenthaler, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Patric Hagmann, Dimitri Nestor Alice Van De Ville, David Paul Roger Romascano

Detecting local differences between groups of connectomes is a great challenge in neuroimaging, because the large number of tests that have to be performed and the impact on multiplicity correction. Any available information should be exploited to increase ...

Elsevier2015

Statistical methods for comparing brain connectomes at different scales

Stephan Morgenthaler, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville

Physiological Brain connectivity and spontaneous interaction between regions of interest of the brain can be represented by a matrix (full or sparse) or equivalently by a complex network called connectome. This representation of brain connectivity is adopt ...

SPIE-Int Soc Optical Engineering2015

Combining Statistical Evidence

Stephan Morgenthaler, Robert Staudte

The combination of evidence from independent studies has a curious history. The origins reach back at least to the beginning of the 20th century. Since the mid-1970s, meta-analysis has become popular in several fields, among them medical statistics and the ...

Wiley-Blackwell2014

Mapping cell lineage growth in human tumors using somatic mitochondrial mutations

Stephan Morgenthaler, Paul Refinetti, Per Olaf Ekstrom

Spandidos Publ Ltd2014

Sliced inverse regression for survival data

Stephan Morgenthaler, Maya Shevlyakova

We apply the univariate sliced inverse regression to survival data. Our approach is different from the other papers on this subject. The right-censored observations are taken into account during the slicing of the survival times by assigning each of them w ...

Springer Verlag2014

Comparing connectomes across subjects and populations at different scales

Stephan Morgenthaler, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Patric Hagmann, Alessandra Griffa, Elda Fischi Gomez

Brain connectivity can be represented by a network that enables the comparison of the different patterns of struc- tural and functional connectivity among individuals. In the literature, two levels ofstatistical analysis have been con- sidered in comparing ...

2013

Advantages of Variance Stabilization

Stephan Morgenthaler, Robert Staudte

Variance stabilization is a simple device for normalizing a statistic. Even though its large sample properties are similar to those of studentizing, many simulation studies of confidence interval procedures show that variance stabilization works better for ...

Wiley-Blackwell2012

Adaptive Strategy for the Statistical Analysis of Connectomes

Stephan Morgenthaler, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Patric Hagmann, Reto Meuli, Leila Cammoun

We study an adaptive statistical approach to analyze brain networks represented by brain connection matrices of interregional connectivity (connectomes). Our approach is at a middle level between a global analysis and single connections analysis by conside ...

Public Library of Science2011

A comprehensive error rate for multiple testing

Stephan Morgenthaler, Jean-Philippe Thiran, Djalel Eddine Meskaldji

In multiple testing, a variety of control metrics have been introduced such as the family-wise error rate (FWER), the False Discovery Rate (FDR), False Exceedence Rate (FER), etc. We found a way to embed these metrics into a continuous family of control me ...

2011

Robustness

Stephan Morgenthaler

That the conclusion based on a data analysis be robust and stable is not merely a desirable feature, it is essential. To merit this quality label, a conclusion must be supported by strong data-based evidence and not simply be a discovery gleaned from a pre ...

2011

Combining the evidence using stable weights

Stephan Morgenthaler, Robert Staudte

2011

Robust binary regression

Stephan Morgenthaler, Sahar Hosseinian Ehrensberger

Robust procedures increase the reliability of the results of a data analysis. We studied such a robust procedure for binary regression models based on the criterion of least absolute deviation. The resulting estimating equation consists in a simple modific ...

Elsevier2011

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