21 papers · ranked by Valyu relevance
Ruogu Lin, Thomas Naselaris, Kendrick Kay, Leila Wehbe
Relating brain activity associated with a complex stimulus to different properties of that stimulus is a powerful approach for constructing functional brain maps. However, when stimuli are naturalistic, their properties are often correlated (e.g., visual and semantic features of natural images, or different layers of a…
Torsti Schulz, Marjo Saastamoinen, Jarno Vanhatalo
Variance partitioning is a common tool for statistical analysis and interpretation in both observational and experimental studies in ecology. Its popularity has led to a proliferation of methods with sometimes confusing or contradicting interpretations. Here, we present variance partitioning as a general tool in a…
Ruogu Lin, Thomas Naselaris, Kendrick Kay, Leila Wehbe
Relating brain activity associated with a complex stimulus to different properties of that stimulus is a powerful approach for constructing functional brain maps. However, when stimuli are naturalistic, their properties are often correlated (e.g., visual and semantic features of natural images, or different layers of a…
Ruogu Lin, Thomas Naselaris, Kendrick Kay, Leila Wehbe
Relating brain activity associated with a complex stimulus to different properties of that stimulus is a powerful approach for constructing functional brain maps. However, when stimuli are naturalistic, their properties are often correlated (e.g., visual and semantic features of natural images, or different layers of a…
Robin S. Waples
Variance in reproductive success (, with k = number of offspring) plays a large role in determining the rate of genetic drift and the scope within which selection acts. Various frameworks have been proposed to parse factors that contribute to , but none has focused on age-specific values of , which indicate the degree…
Matthias M. Fischer
An important objective of experimental biology is the quantification of the relationship between predictor and response variables, a statistical analysis often termed variance partitioning (VP). In this paper, a series of simulations is presented, aiming to generate quantitative estimates of the expected statistical…
Mingchang Cao, Haigen Xu, Zhifang Le, Mingchang Zhu + 2 more
'Zhigang Jiang'] The red-crowned crane (Grus japonensis (Statius Müller, 1776)) is a rare and endangered species that lives in wetlands. In this study, we used variance partitioning and hierarchical partitioning methods to explore the red-crowned crane-habitat relationship at multiple scales in the Yellow River Delta…
T. P. Oliveira, J. Obšteter, I. Pocrnic, N. Heslot + 1 more
In breeding programmes, the observed genetic change is a sum of the contributions of different groups of individuals. Quantifying these sources of genetic change is essential for identifying the key breeding actions and optimizing breeding programmes. However, it is difficult to disentangle the contribution of…
Youhua Chen
The effectiveness and validity of applying variation partitioning methods in community ecology has been questioned. Here, using mathematical deduction and numerical simulation, we made an attempt to uncover the underlying mechanisms determining the effectiveness of variation partitioning techniques. The covariance…
Thiago P. Oliveira, Jana Obšteter, Ivan Pocrnic, Nicolas Heslot + 1 more
'Gregor Gorjanc'] Background In breeding programmes, the observed genetic change is a sum of the contributions of different selection paths represented by groups of individuals. Quantifying these sources of genetic change is essential for identifying the key breeding actions and optimizing breeding programmes. However…
Giovanna Peruzzi, Mattia Miotto, Roberta Maggio, Giancarlo Ruocco + 1 more
Asymmetric inheritance of organelle and cellular compounds between daughter cells impacts on the phenotypic variability and was found to be a hallmark for differentiation and rejuvenation in stem-like cells as much as a mechanism for enhancing resistance in bacteria populations. Whether the same processes take place in…
George Leckie, Will N. Browne, Harvey Goldstein, Juan Merlo + 1 more
George Leckie, William Browne, Harvey Goldstein, Centre for Multilevel Modelling School of Education University of Bristol, UK Unit for Social Epidemiology, Faculty of Medicine Lund University Malmö, Sweden Peter Austin Institute of Health Management, Policy and Evaluation, University of Toronto Ontario, Canada…
Robin S. Waples
Variance in reproductive success (, with k=number of offspring) plays a large role in determining the rate of genetic drift and the scope within which selection acts. Various frameworks have been proposed to parse factors that contribute to , but none has focused on age-specific values of , which indicate the degree to…
Yao Chen, Ward De Spiegelaere, Matthijs Vynck, Wim Trypsteen + 3 more
'David Gleerup' 'Jo Vandesompele' 'Olivier Thas'] Title: Summary Digital PCR (dPCR) is an accurate technique for quantifying nucleic acids, but variance estimation remains a challenge due to violations of the assumptions underlying many existing methods. To address this, we propose two generic approaches, NonPVar and…
Richard A. Berk, Matthew T. Olson, Andreas Buja, Aurélie Ouss
Heterogeneous treatment effects can be very important in the analysis of randomized clinical trials. Heightened risks or enhanced benefits may exist for particular subsets of study subjects. When the heterogeneous treatment effects are specified as the research is being designed, there are proper and readily available…
Heidi Seibold, Achim Zeileis, Torsten Hothorn
The identification of patient subgroups with differential treatment effects is the first step towards individualised treatments. A current draft guideline by the EMA discusses potentials and problems in subgroup analyses and formulated challenges to the development of appropriate statistical procedures for the…
Marjolein Fokkema, Achim Zeileis
Growth curve models are popular tools for studying the development of a response variable within subjects over time. Heterogeneity between subjects is common in such models, and researchers are typically interested in explaining or predicting this heterogeneity. We show how generalized linear mixed-effects model (GLMM)…
Esther Heid, Charles J. McGill, Florence H. Vermeire, William H. Green
Characterizing uncertainty in machine learning models has recently gained interest in the context of machine learning reliability, robustness, safety, and active learning. Here, we separate the total uncertainty into contributions from noise in the data (aleatoric) and shortcomings of the model (epistemic), further…
Esther Heid, Charles J. McGill, Florence H. Vermeire, William H. Green
Characterizing uncertainty in machine learning models has recently gained interest in the context of machine learning reliability, robustness, safety, and active learning. Here, we separate the total uncertainty into contributions from noise in the data (aleatoric) and shortcomings of the model (epistemic), further…
Rex C. Y. Cheung, Alexander Aue, Thomas C. M. Lee
Partition-wise models offer a flexible approach for modeling complex and multidimensional data that are capable of producing interpretable results. They are based on partitioning the observed data into regions, each of which is modeled with a simple submodel. The success of this approach highly depends on the quality…
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This work investigates different formulations of internal Coordinates for molecular dynamics (MD) simulations. The goal is to assess their advantages and limitations. Furthermore, a method is presented that evaluates the quality of the partitioning of molecular structural data into clusters based on statistical…