Results 41 to 50 of about 166,649 (278)
Determination of environmental factors affecting the distribution of plant species in northern Zagros forests (Case study: Armardeh Forest, Baneh) [PDF]
مجله جنگل ایران, 2015 Northern Zagros forests are one of the most important ecosystems in Iran from ecological and socio-economic points of view. This study was done to determine the most important gradients affecting on plant species distribution by using ordination methods.
Somayeh Gaderzadeh +3 more
doaj
The Modified Borel–Tanner (Mbt) Regression Model
Revstat Statistical Journal, 2017 A new one-parameter family of discrete distributions is presented. It has some advantages against the Poisson distribution as a suitable model for modelling data with a high frequencies of zeros and showing over-dispersion (variance larger than the mean)
Emilio Gómez-Déniz +2 more
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Covariate balancing propensity score by tailored loss functions [PDF]
Annals of Statistics, 2016 In observational studies, propensity scores are commonly estimated by maxi- mum likelihood but may fail to balance high-dimensional pre-treatment covariates even after specification search.
Qingyuan Zhao
semanticscholar +1 more source
A Review on ROC Curves in the Presence of Covariates
Revstat Statistical Journal, 2014 In this paper we review the literature on ROC curves in the presence of covariates. We discuss the different approaches that have been proposed in the literature to define, model, estimate and do asymptotics for ROC curves that incorporate covariates ...
Juan Carlos Pardo-Fernández +2 more
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Robustness of meta-analyses in finding gene × environment interactions. [PDF]
PLoS ONE, 2017 Meta-analyses that synthesize statistical evidence across studies have become important analytical tools for genetic studies. Inspired by the success of genome-wide association studies of the genetic main effect, researchers are searching for gene ...
Gang Shi, Arye Nehorai
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Covariate-Adjusted Tensor Classification in High Dimensions [PDF]
Journal of the American Statistical Association, 2018 In contemporary scientific research, it is often of great interest to predict a categorical response based on a high-dimensional tensor (i.e., multi-dimensional array) and additional covariates.
Yuqing Pan, Qing Mai, Xin Zhang
semanticscholar +1 more source
On tests of treatment-covariate interactions: An illustration of appropriate power and sample size calculations. [PDF]
PLoS ONE, 2017 The appraisals of treatment-covariate interaction have theoretical and substantial implications in all scientific fields. Methodologically, the detection of interaction between categorical treatment levels and continuous covariate variables is analogous ...
Gwowen Shieh
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Statistical Inference for Covariate-Adaptive Randomization Procedures [PDF]
Journal of the American Statistical Association, 2018 Covariate-adaptive randomization (CAR) procedures are frequently used in comparative studies to increase the covariate balance across treatment groups.
Wei Ma, Yichen Qin, Yang Li, F. Hu
semanticscholar +1 more source
Modeling of Cellular Networks Using Stationary and Nonstationary Point Processes
IEEE Access, 2018 The spatial topology of the base stations in wireless networks has a profound impact on their performance evaluation and analysis. It is important to identify a proper and accurate point process model before applying any theoretical stochastic geometry ...
Chunlin Chen +3 more
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BMC Medical Research Methodology, 2021 Background Cardinality matching (CM), a novel matching technique, finds the largest matched sample meeting prespecified balance criteria thereby overcoming limitations of propensity score matching (PSM) associated with limited covariate overlap, which ...
Stephen P. Fortin +2 more
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