In the literature, many influence measures proposed for Generalized Linear Mixed Models (GLMMs) require the information matrix that can be difficult to calculate. In the present paper, a known influence measure is approximated to get a simpler form, for which the information matrix is no more necessary. The proposed measure is showed to have a form similar to the gradient statistic, recently introduced. Good performances have been obtained through simulation studies
[[abstract]]This article introduces two parametric robust diagnostic methods for detecting influenti...
This paper provides general matrix formulas for computing the score function, the (expected and obse...
Linear models for uncorrelated data have well established measures to gauge the influence of one or ...
In the literature, many influence measures proposed for Generalized Linear Mixed Models (GLMMs) requ...
A gradient-like statistic recently introduced as an influence measure has been showed to work well i...
A gradient-like statistic recently introduced as an influence measure has been showed to work well i...
In meta-analysis, generalized linear mixed models (GLMMs) are usually used when heterogeneity is pre...
In meta-analysis, generalized linear mixed models (GLMMs) are usually used when heterogeneity is pre...
Biometrics 2001 Dec;57(4):1166-72 Related Articles, Books, LinkOut Local influence to detect influen...
Biometrics 2001 Dec;57(4):1166-72 Related Articles, Books, LinkOut Local influence to detect influen...
Biometrics 2001 Dec;57(4):1166-72 Related Articles, Books, LinkOut Local influence to detect influen...
A gradient-statistic-based diagnostic measure is developed in the context of the generalized linear ...
A gradient-statistic-based diagnostic measure is developed in the context of the generalized linear ...
© 2016 Informa UK Limited, trading as Taylor & Francis Group. Since the seminal paper by Cook and ...
[[abstract]]This article introduces two parametric robust diagnostic methods for detecting influenti...
[[abstract]]This article introduces two parametric robust diagnostic methods for detecting influenti...
This paper provides general matrix formulas for computing the score function, the (expected and obse...
Linear models for uncorrelated data have well established measures to gauge the influence of one or ...
In the literature, many influence measures proposed for Generalized Linear Mixed Models (GLMMs) requ...
A gradient-like statistic recently introduced as an influence measure has been showed to work well i...
A gradient-like statistic recently introduced as an influence measure has been showed to work well i...
In meta-analysis, generalized linear mixed models (GLMMs) are usually used when heterogeneity is pre...
In meta-analysis, generalized linear mixed models (GLMMs) are usually used when heterogeneity is pre...
Biometrics 2001 Dec;57(4):1166-72 Related Articles, Books, LinkOut Local influence to detect influen...
Biometrics 2001 Dec;57(4):1166-72 Related Articles, Books, LinkOut Local influence to detect influen...
Biometrics 2001 Dec;57(4):1166-72 Related Articles, Books, LinkOut Local influence to detect influen...
A gradient-statistic-based diagnostic measure is developed in the context of the generalized linear ...
A gradient-statistic-based diagnostic measure is developed in the context of the generalized linear ...
© 2016 Informa UK Limited, trading as Taylor & Francis Group. Since the seminal paper by Cook and ...
[[abstract]]This article introduces two parametric robust diagnostic methods for detecting influenti...
[[abstract]]This article introduces two parametric robust diagnostic methods for detecting influenti...
This paper provides general matrix formulas for computing the score function, the (expected and obse...
Linear models for uncorrelated data have well established measures to gauge the influence of one or ...