Results 11 to 20 of about 2,479,061 (149)

Generalized linear mixed model for segregation distortion analysis

BMC Genetics, 2011
Background Segregation distortion is a phenomenon that the observed genotypic frequencies of a locus fall outside the expected Mendelian segregation ratio. The main cause of segregation distortion is viability selection on linked marker loci.
Zhan Haimao, Xu Shizhong
doaj   +1 more source

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

Modified BIC Criterion for Model Selection in Linear Mixed Models

Mathematics, 2023
Linear mixed-effects models are widely used in applications to analyze clustered, hierarchical, and longitudinal data. Model selection in linear mixed models is more challenging than that of linear models as the parameter vector in a linear mixed model ...
Hang Lai, Xin Gao
doaj   +1 more source

Using linear mixed model and dummy variable model approaches to construct compatible single-tree biomass equations at different scales - A case study for Masson pine in Southern China

Journal of Forest Science, 2012
The estimation of forest biomass is important for practical issues and scientific purposes in forestry. The estimation of forest biomass on a large-scale level would be merely possible with the application of generalized single-tree biomass models.
L.Y. Fu, W.S. Zeng, S.Z. Tang, R.P. Sharma, H.K. Li   +4 more
doaj   +1 more source

A mixed integer linear programming model for minimum backbone grid

Frontiers in Energy Research, 2023
Developing a minimum backbone grid in the power system planning is beneficial to improve the power system’s resilience. To obtain a minimum backbone grid, a mixed integer linear programming (MILP) model with network connectivity constraints for a minimum
Wenwen Mei, Zhiyuan Sun, Yuanjian He, Mosi Liu, Xianfu Gong, Peijie Li   +5 more
doaj   +1 more source

A Linear Mixed-Effects Model of Wireless Spectrum Occupancy

EURASIP Journal on Wireless Communications and Networking, 2010
We provide regression analysis-based statistical models to explain the usage of wireless spectrum across four mid-size US cities in four frequency bands.
Srikanth Pagadarai, Alexander M. Wyglinski   +1 more
doaj   +2 more sources

How large are the consequences of covariate imbalance in cluster randomized trials: a simulation study with a continuous outcome and a binary covariate at the cluster level

BMC Medical Research Methodology, 2016
Background The number of clusters in a cluster randomized trial is often low. It is therefore likely random assignment of clusters to treatment conditions results in covariate imbalance.
Mirjam Moerbeek, Sander van Schie
doaj   +1 more source

Comparison of statistical models to analyse the genetic effect on within-litter variance in pigs

Animal, 2008
Genetics affects not only the weight of piglets at birth but also the variability of birth weight within litter. Previous studies on this topic assigned the sample standard deviation of piglet birth weights within litter as an observation to the sow ...
D. Wittenburg, V. Guiard, F. Teuscher, N. Reinsch   +3 more
doaj   +1 more source

Discovering weaker genetic associations guided by known associations

BMC Medical Genomics, 2020
Background The current understanding of the genetic basis of complex human diseases is that they are caused and affected by many common and rare genetic variants.
Haohan Wang, Michael M. Vanyukov, Eric P. Xing, Wei Wu   +3 more
doaj   +1 more source

Unnecessary reliance on multilevel modelling to analyse nested data in neuroscience: When a traditional summary-statistics approach suffices

Current Research in Neurobiology, 2021
Nested data structures create statistical dependence that influences the effective sample size and statistical power of a study. Several methods are available for dealing with nested data, including the summary-statistics approach and multilevel ...
Carolyn Beth McNabb, Kou Murayama
doaj   +1 more source