scholarly journals Eigenanatomy Improves Detection Power for Longitudinal Cortical Change

Author(s):  
Brian Avants ◽  
Paramveer Dhillon ◽  
Benjamin M. Kandel ◽  
Philip A. Cook ◽  
Corey T. McMillan ◽  
...  
2021 ◽  
pp. 001316442110289
Author(s):  
Sooyong Lee ◽  
Suhwa Han ◽  
Seung W. Choi

Response data containing an excessive number of zeros are referred to as zero-inflated data. When differential item functioning (DIF) detection is of interest, zero-inflation can attenuate DIF effects in the total sample and lead to underdetection of DIF items. The current study presents a DIF detection procedure for response data with excess zeros due to the existence of unobserved heterogeneous subgroups. The suggested procedure utilizes the factor mixture modeling (FMM) with MIMIC (multiple-indicator multiple-cause) to address the compromised DIF detection power via the estimation of latent classes. A Monte Carlo simulation was conducted to evaluate the suggested procedure in comparison to the well-known likelihood ratio (LR) DIF test. Our simulation study results indicated the superiority of FMM over the LR DIF test in terms of detection power and illustrated the importance of accounting for latent heterogeneity in zero-inflated data. The empirical data analysis results further supported the use of FMM by flagging additional DIF items over and above the LR test.


2016 ◽  
Vol 13 (7) ◽  
pp. 577-580 ◽  
Author(s):  
Nikolaos Ignatiadis ◽  
Bernd Klaus ◽  
Judith B Zaugg ◽  
Wolfgang Huber

2007 ◽  
Vol 04 (03) ◽  
pp. 273-280
Author(s):  
BYUNG HEE KIM ◽  
HAE YOUNG LEE ◽  
TAE HO CHO

A secure mechanism is needed to use sensor nodes in real world, since we cannot anticipate attack types. Yu and Guan proposed the dynamic en-route filtering scheme (DEF) to detect and drop false reports as soon as possible in wireless sensor networks. In this scheme, the choice of a threshold value to diffuse keys is important since it represents a trade-off between detection power and overhead. A large threshold value can increase the probability of detecting false reports but it consumes too much energy during the key dissemination phase. Thus, we should choose a threshold value to optimize between the detection power and energy consumption. In this paper we propose a key dissemination limiting method to diffuse keys efficiently. The threshold value in the proposed method is determined by a fuzzy rule-based system by considering the energy level of the network, the number of secret keys in a cluster, and the distance from the base station (BS) to a cluster head. The simulation results show that the proposed method can conserve energy, while it provides sufficient detection power.


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