OBJECTIVE The aim of this study was to use pretreatment and treatment factors to predict dropout from residential substance use disorder program and to examine how the treatment environment modifies the risk for dropout. METHOD This study assessed 3649 male patients at entry to residential substance use disorder treatment and obtained information about their perceptions of the treatment envir...

BACKGROUND To develop a pharmacokinetic-pharmacodynamic (PK-PD) model using individual-level data of Positive and Negative Syndrome Scale (PANSS) total score to characterize the antipsychotic drug effect taking into account the placebo effect and dropout rate. In addition, a clinical utility (CU) criterion that describes the usefulness of a drug therapy was calculated using the efficacy of the ...

Previous research has identified risk factors for early attrition from substance abuse treatment, but has not assessed reasons for dropout from the client's perspective. Interview and self-report assessment data were collected from 24 clients who prematurely terminated outpatient treatment to evaluate their subjective reasons for dropping out and the association of these reasons with demographi...

This paper presents a new version of Dropout called Split Dropout (sDropout) and rotational convolution techniques to improve CNNs’ performance on image classification. The widely used standard Dropout has advantage of preventing deep neural networks from overfitting by randomly dropping units during training. Our sDropout randomly splits the data into two subsets and keeps both rather than dis...

Cross-Nativity Marriages and Human Capital Levels of Children A common perception about immigrant assimilation is that association with natives necessarily speeds the process by which immigrants become indistinguishable from natives. Using 2000 Census data, this paper casts doubt on this presumption by examining the effect of an immigrant’s marriage to a native, a measure of social integration,...

We conducted a meta-analysis to determine what factors in treatment regimens for Helicobacter pylori are associated with increased discontinuation rates. Studies were selected from the 1990-1996 MEDLINE data base, and references in published articles and reviews were obtained. Each article was uniformally abstracted for factors that could potentially affect dropout rates. Drug regimens with hig...

To obtain uncertainty estimates with real-world Bayesian deep learning models, practical inference approximations are needed. Dropout variational inference (VI) for example has been used for machine vision and medical applications, but VI can severely underestimates model uncertainty. Alpha-divergences are alternative divergences to VI’s KL objective, which are able to avoid VI’s uncertainty un...

Studies of student risk of school dropout have shown that current predictors of “at-risk” status do not accurately identify a large percentage of students who eventually dropout. Through the analysis of the entire grade 1-12 longitudinal cohort-based grading histories of the class of 2006 for two school districts in the United States, this study extends past longitudinal conceptions of dropout ...

abstract Deep learning is the state-of-the-art in fields such as visual object recognition and speech recognition. This learning uses a large number of layers and a huge number of units and connections. Therefore, overfitting is a serious problem with it, and the dropout which is a kind of regularization tool is used. However, in online learning, the effect of dropout is not well known. This pa...

One of the indicators of potential problems in the higher education system may be a large number of student dropouts in the junior years. An analysis of the existing transaction data provides the information on students that will allow the definition of the key processes that have to be adapted in order to enhance the efficiency of studying. To understand better the problem of dropouts, the dat...