Results 11 to 20 of about 2,906 (48)

A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence [PDF]

, 2015
A bivariate copula mixed model has been recently proposed to synthesize diagnostic test accuracy studies and it has been shown that it is superior to the standard generalized linear mixed model in this context.
Aas K, Aristidis K Nikoloulopoulos, Brenner H, Chu H, Chu H, Demidenko E, Genest C, Genest C, Genest C, Hamza TH, Hoyer A, Hua L, Hult H, Joe H, Joe H, Joe H, Joe H, Joe H, Karageorgopoulos DE, Kurowicka D, Kuss O, Leeflang MMG, Leeflang MMG, Ma X, Mavridis D, McNeil AJ, Nash JC, Nelsen RB, Nikoloulopoulos AK, Nikoloulopoulos AK, Nikoloulopoulos AK, Nikoloulopoulos AK, Nikoloulopoulos AK, Nikoloulopoulos AK, Nikoloulopoulos AK, Panagiotelis A, Paul M, Serfling RJ, Shen C, Stroud AH, Vuong QH, Ye Y   +41 more
core   +2 more sources

Considerate Approaches to Achieving Sufficiency for ABC model selection

, 2011
For nearly any challenging scientific problem evaluation of the likelihood is problematic if not impossible. Approximate Bayesian computation (ABC) allows us to employ the whole Bayesian formalism to problems where we can use simulations from a model ...
Chris Barnes, Michael Stumpf, Michael Stumpf, Sarah Filippi, Tom Thorne   +4 more
core   +1 more source

Intrinsic Inference on the Mean Geodesic of Planar Shapes and Tree Discrimination by Leaf Growth [PDF]

, 2010
For planar landmark based shapes, taking into account the non-Euclidean geometry of the shape space, a statistical test for a common mean first geodesic principal component (GPC) is devised.
Huckemann, Stephan
core   +1 more source

Fast DD-classification of functional data

, 2016
A fast nonparametric procedure for classifying functional data is introduced. It consists of a two-step transformation of the original data plus a classifier operating on a low-dimensional hypercube.
Mosler, Karl, Mozharovskyi, Pavlo
core   +2 more sources

A mixed effect model for bivariate meta-analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution [PDF]

, 2015
Diagnostic test accuracy studies typically report the number of true positives, false positives, true negatives and false negatives. There usually exists a negative association between the number of true positives and true negatives, because studies that
Arends, Aristidis K. Nikoloulopoulos, Brechmann, Chu, Chu, Chu, Chu, Demidenko, Genest, Genest, Genest, Genest, Glas, Hamza, Harbord, Harbord, Heffernan, Hua, Hult, Jackson, Jackson, Joe, Joe, Joe, Joe, Kurowicka, Kuss, Lee, Ma, Mavridis, Mavridis, Nash, Nelsen, Nikoloulopoulos, Nikoloulopoulos, Nikoloulopoulos, Nikoloulopoulos, Nikoloulopoulos, Nikoloulopoulos, Normand, Paul, Reitsma, Riley R, Rutter, Rücker, Sarmanov, Scheidler, Serfling, Shen, Sklar, Stroud, Vuong   +51 more
core   +2 more sources

Hybrid copula mixed models for combining case-control and cohort studies in meta-analysis of diagnostic tests [PDF]

, 2016
Copula mixed models for trivariate (or bivariate) meta-analysis of diagnostic test accuracy studies accounting (or not) for disease prevalence have been proposed in the biostatistics literature to synthesize information.
Aas K, Aristidis K Nikoloulopoulos, Brenner H, Chen Y, Chen Y, Chu H, Chu H, Demidenko E, Jerant A, Joe H, Joe H, Joe H, Joe H, Kurowicka D, Leeflang MM, Leeflang MMG, Ma X, Nash J, Nelsen RB, Nikoloulopoulos AK, Nikoloulopoulos AK, Nikoloulopoulos AK, Nikoloulopoulos AK, Sklar M, Stober J, Stroud AH, Varin C, Varin C, Xing Y   +28 more
core   +2 more sources

From patterned response dependency to structured covariate dependency: categorical-pattern-matching [PDF]

, 2017
Data generated from a system of interest typically consists of measurements from an ensemble of subjects across multiple response and covariate features, and is naturally represented by one response-matrix against one covariate-matrix.
Fushing, Hsieh, Hsieh, Yin-Chen, Liu, Shan-Yu, McCowan, Brenda   +3 more
core   +4 more sources

A contingency table approach based on nearest neighbour relations for testing self and mixed correspondence [PDF]

, 2018
Nearest neighbour methods are employed for drawing inferences about spatial patterns of points from two or more classes. We introduce a new pattern called correspondence which is motivated by (spatial) niche/habitat specificity and segregation, and ...
Ceyhan, Elvan
core  

Minimum Average Deviance Estimation for Sufficient Dimension Reduction

, 2016
Sufficient dimension reduction reduces the dimensionality of data while preserving relevant regression information. In this article, we develop Minimum Average Deviance Estimation (MADE) methodology for sufficient dimension reduction.
Adragni, Kofi P., Al-Najjar, Elias, Raim, Andrew M.   +2 more
core   +1 more source

Event coincidence analysis for quantifying statistical interrelationships between event time series: on the role of flood events as possible triggers of epidemic outbreaks

, 2016
Studying event time series is a powerful approach for analyzing the dynamics of complex dynamical systems in many fields of science. In this paper, we describe the method of event coincidence analysis to provide a framework for quantifying the strength ...
Donges, Jonathan F., Donner, Reik V., Schleussner, Carl-Friedrich, Siegmund, Jonatan F.   +3 more
core   +1 more source