Browsing by Author "Chen, Chen-Hsin"

Now showing 1 - 2 of 2

Patient subgroups of schizophrenia based on the Positive and Negative Syndrome Scale: composition and transition between acute and subsided disease states
(2011-09-01)
Huang, Guan-Hua
;
Tsai, Hsiu-Hui
;
Hwu, Hai-Gwo
;
Chen, Chen-Hsin
;
Liu, Chen-Chung
The present study focuses on schizophrenia patient subgroups with specific symptom pattern using the Positive and Negative Syndrome Scale (PANSS). In this report, we intend to (1) provide a more appropriate analytic method for exploring the subgroups based on PANSS data, (2) validate identified subgroups with external variables, and (3) estimate probabilities of subgroup changes between 2 disease states. The analyzed data include 219 acute-state patients who had completed the PANSS within 1 week of index admission and 225 subsided-state patients who were living in the community and under family care. Regression extension of latent class analysis was performed. We found that acute schizophrenia can be classified into 4 subgroups whole syndrome, whole syndrome without hostility, partial syndrome with negative symptoms, and partial syndrome with pure reality distortion and that subsided schizophrenia can be classified into 3 subgroups florid symptom, marked negative, and remitted. Patients of the whole syndrome, whole syndrome without hostility, partial syndrome with negative symptoms, and partial syndrome with pure reality distortion subgroups at the acute state were most likely to transit to the florid symptom (61%), florid symptom (48%), marked negative (42%), and remitted (56%) subgroups at the subsided state, respectively. Significant relationships of obtained subgroups with sociodemographic variables and neurocognitive variables were identified. These results of different subgroups will provide the background for facilitating current molecular, genetic, and neurobiological studies of schizophrenia. (C) 2011 Elsevier Inc. All rights reserved.
Statistical Validation of Endophenotypes Using a Surrogate Endpoint Analytic Analogue
(2009-09-01)
Huang, Guan-Hua
;
Hsieh, Chin-Chiang
;
Chen, Chen-Hsin
;
Chen, Wei J.
;
統計學研究所
Endophenotypes, which involve the same biological pathways as diseases but presumably are closer to the relevant gene actions than diagnostic phenotypes, have emerged as an important concept in the genetic studies of complex diseases. In this report, we develop a formal statistical methodology for validating endophenotypes. The proposed method was motivated by the conditioning strategy used for surrogate endpoints commonly seen in clinical research. We define an endophenotype to be "a trait for which a test of null hypothesis of no genetic heritability implies the corresponding null hypothesis based on the phenotype of interest". Ail index, the proportion of heritability explained, is used as all operational criterion of validation. Statistical inferences oil this index are also developed. Usefulness of the proposed method is demonstrated through computer simulations and a study of assessing the Continuous Performance Test as an endophenotype of the schizophrenia spectrum. Genet. Epidemiol. 33:549-558, 2009. (C) 2009 Wiley-Liss, Inc.