Score tests

Score tests

Survival analysis and Other Networks

Published in Basilio de Bragança Pereira, Calyampudi Radhakrishna Rao, Fábio Borges de Oliveira, Statistical Learning Using Neural Networks, 2020

Basilio de Bragança Pereira, Calyampudi Radhakrishna Rao, Fábio Borges de Oliveira

The above test is based on the likelihood ratio test. An alternative proposed by Lee et al. [121] uses the Rao score test or Lagrange multiplier test. Blake and Kapetanios [21] also suggested a Wald equivalent test. See also Lee [120].

Online profile monitoring for surgical outcomes using a weighted score test

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Journal Information

Published in Journal of Quality Technology, 2018

Liu Liu, Xin Lai, Jian Zhang, Fugee Tsung

In this article, we propose a new monitoring chart where the location parameter and scale parameter are simultaneously monitored. The proposed method is based on a new weighted score test (WST) that is adapted from the score test. The score test is widely used to test the homogeneity of clustered or longitudinal data (Liang 1987; Commenges and Jacqmin-Gadda 1997; Lin 1997; Hall and Praegaard 2001; Zhu and Zhang 2006). The purpose of the score test in this context is to assess the necessity of random effects or latent variables in generalized linear mixed models (GLMMs). The proposed method could be extended to a generalized situation where various types of outcomes modeled by GLMMs can be monitored.

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Survival analysis and Other Networks

Online profile monitoring for surgical outcomes using a weighted score test