Results 71 to 80 of about 460,060 (291)

Automating approximate Bayesian computation by local linear regression

BMC Genetics, 2009
Background In several biological contexts, parameter inference often relies on computationally-intensive techniques. "Approximate Bayesian Computation", or ABC, methods based on summary statistics have become increasingly popular.
Thornton Kevin R
doaj   +1 more source

Sufficient Covariate, Propensity Variable and Doubly Robust Estimation

, 2015
Statistical causal inference from observational studies often requires adjustment for a possibly multi-dimensional variable, where dimension reduction is crucial.
A.P. Dawid, A.P. Dawid, A.P. Dawid, A.P. Dawid, D.B. Rubin, D.B. Rubin, D.B. Rubin, D.B. Rubin, D.B. Rubin, D.G. Horvitz, G. Berzuini, G.W. Imbens, H. Bang, H. Guo, J. Hahn, J. Pearl, J. Pearl, J. Sekhon, J.D.Y. Kang, J.M. Robins, J.R. Carpenter, K. Hirano, K.V. Mardia, P.R. Rosenbaum, P.R. Rosenbaum, R.A. Fisher, S. Senn, W.C. Winkelmayer, Z. Tang   +28 more
core   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

truncSP: An R Package for Estimation of Semi-Parametric Truncated Linear Regression Models

Journal of Statistical Software, 2014
Problems with truncated data occur in many areas, complicating estimation and inference. Regarding linear regression models, the ordinary least squares estimator is inconsistent and biased for these types of data and is therefore unsuitable for use ...
Maria Karlsson, Anita Lindmark
doaj   +1 more source

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel, Timothy P. Siejka, Cassandra Marotta, Josh J. Y. Lee, Kelly Bertram, Terence J. O'Brien, Meng Law, Lucy Vivash, Ian H. Harding   +8 more
wiley   +1 more source

METHODS OF ESTIMATION IN MULTIPLE LINEAR REGRESSION: APPLICATION TO CLINICAL DATA MÉTODOS DE ESTIMACIÓN EN REGRESIÓN LINEAL MÚLTIPLE: APLICACIÓN A DATOS CLÍNICOS MÉTODOS DE ESTIMAÇÃO EM REGRESSÃO LINEAR MÚLTIPLA: APLICAÇÃO A DADOS CLÍNICOS

Revista Colombiana de Estadística, 2008
In this paper, we show different parameters estimation forms for multiple linear regression model. We used clinical data, where the interest was to verify the relationship among the mechanical assay maximum stress with femoral mass, femoral diameter and ...
Coelho-Barros Emílio Augusto, Simões Priscila Angelotti, Achcar Jorge Alberto, Martinez Edson Zangiacomi, Shimano Antônio Carlos   +4 more
doaj  

Structured Sparse Modelling with Hierarchical GP [PDF]

, 2017
In this paper a new Bayesian model for sparse linear regression with a spatio-temporal structure is proposed. It incorporates the structural assumptions based on a hierarchical Gaussian process prior for spike and slab coefficients.
Isupova, Olga, Kuzin, Danil, Mihaylova, Lyudmila   +2 more
core   +1 more source

Robust Estimation in Generalised Linear Models : The Density Power Divergence Approach

, 2014
The generalised linear model (GLM) is a very important tool for analysing real data in biology, sociology, agriculture, engineering and many other application domain where the relationship between the response and explanatory variables may not be linear ...
Basu, Ayanendranath, Ghosh, Abhik
core   +1 more source

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang, Chengsong Yue, Zhuang Li, Xiaolei Shi, Haoxuan Zhu, Jie Yang, Linyu Li, Jiaxing Song, Shitao Fan, Gaoming Li, Wenzhe Sun, Zhixian Ye, Jiacheng Huang, Dahong Yang, Jinfu Ma, Xu Xu, Zhixi Wang, Lilan Wang, Guojian Liu, Fengli Li, Changwei Guo, Li Qi, Wenjie Zi   +22 more
wiley   +1 more source

On weak exogeneity of the student's t and elliptical linear regression models [PDF]

This paper studies weak exogeneity of conditioning variables for the inference of a subset of parameters of the conditional student's t and elliptical linear regression models considered by Spanos (1994).
Jiro Hodoshima
core