نتایج جستجو برای: latent class model

تعداد نتایج: 2459794  

Journal: :hepatitis monthly 0
yi xiang zheng viral hepatitis key laboratory of hunan province, department of infectious disease, xiangya hospital, central south university, changsha, china shu juan ma department of epidemiology and health statistics, school of public health, central south university, changsha, china meng hou lu viral hepatitis key laboratory of hunan province, department of infectious disease, xiangya hospital, central south university, changsha, china; viral hepatitis key laboratory of hunan province, department of infectious disease, xiangya hospital, central south university, changsha, china

conclusions fib-4 confirmed the best value for diagnosis of significant fibrosis. apri had a sub-optimal diagnosis accuracy for significant fibrosis. lsm showed the most balance diagnosis value for cirrhosis with the highest sensitivity and moderate specificity. patients and methods a total of 544 patients with chb were assessed for fibrosis stage by four noninvasive tests containing liver stif...

ژورنال: اندیشه آماری 2017
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‎Latent class analysis (LCA) is a method of evaluating non sampling errors‎, ‎especially measurement error in categorical data‎. ‎Biemer (2011) introduced four latent class modeling approaches‎: ‎probability model parameterization‎, ‎log linear model‎, ‎modified path model‎, ‎and graphical model using path diagrams‎. ‎These models are interchangeable‎. ‎Latent class probability models express l...

Journal: :Economics Letters 2014

2009
Israr Qureshi

Geared towards capturing change, longitudinal research is able to provide insight into a variety of phenomena of interest to IS researchers, especially IT adoption and use. However, its potential is constrained by the data analysis methods typically used. In this paper, I introduce an advanced technique – Latent Curve Modeling – and demonstrate how this technique supports longitudinal data anal...

2012
Tomoya Okubo Kuninori Nakamura

In this research, a latent class vector model for pairwise data is formulated. As compared to the basic vector model, this model yields consistent estimates of the parameters since the number of parameters to be estimated does not increase with the number of subjects. The result of the analysis reveals that the model was stable and could classify each subject to the latent classes representing ...

2007
Patrick C Hew

We DownWrite from digit LCM space by sampling from the Gaus-sian models for each digit class.

2006
Frauke Kreuter Ting Yan Roger Tourangeau

Latent class analysis has been used to model measurement error, to identify flawed survey questions and to estimate mode effects. Using data from a survey of University of Maryland alumni together with alumni records, we evaluate this technique to determine its usefulness for detecting bad questions in the survey context. Two sets of latent class analysis models are applied in this evaluation: ...

2016
Kris Tunac De Pedro Tamika Gilreath Ruth Berkowitz

Article history: Received 29 June 2015 Received in revised form 26 January 2016 Accepted 26 January 2016 Available online 29 January 2016 Research has shown that a positive school climate plays a protective role in the social, emotional, and academic development of adolescent youth. Researchers have utilized variable centeredmeasures to assess school climate, which is limited in capturing heter...

Journal: :JASIST 2013
Lutz Bornmann Félix de Moya Anegón Rüdiger Mutz

Using data compiled for the SCImago Institutions Ranking, we look at whether the subject area type an institution (university or research-focused institution) belongs to (in terms of the fields researched) has an influence on its ranking position. We used latent class analysis to categorize institutions based on their publications in certain subject areas. Even though this categorization does n...

Journal: :Eur. J. Comb. 2007
John P. McSorley Leonard H. Soicher

We give a construction to obtain a t-design from a t-wise balanced design. More precisely, given a positive integer k and a t(v, {k1, k2, . . . , ks}, λ) design D, with with all block-sizes ki occurring in D and 1 ≤ t ≤ k ≤ k1 < k2 < · · · < ks, the construction produces a t-(v, k, nλ) design D∗, with n = lcm( ( k1−t k−t ) , . . . , ( ks−t k−t ) ). We prove that Aut(D) is a subgroup of Aut(D∗),...

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