The missing not at random (MNAR) mechanism may bias parameter estimates and even distort study results. This study compared the maximum likelihood (ML) selection model based on missing at random (MAR) mechanism and the Diggle-Kenward selection model based on MNAR mechanism for handling missing data through a Monte Carlo simulation study. Four factors were considered, including the missingness m...

This article focuses on the high dropout rate in the Danish vocational education system. The article seeks to analyse the dropout problem using the concept of trust. By taking this perspective on the dropout problem, the article seeks to replace the hitherto-dominant deficit of understanding within the Danish dropout research, which has focused on the so-called crisis of motivation in which stu...

We analyze the convergence rate of gradient flows on objective functions induced by Dropout and Dropconnect, when applying them to shallow linear Neural Networks (NNs) ---which can also be viewed as doing matrix factorization using a particular regularizer. algorithms such these are thus regularization techniques that use {0,1} -valued random variables filter weights during training in order av...

CONTEXT There have been very few randomized controlled treatment studies of anorexia nervosa. OBJECTIVE To evaluate factors leading to nonacceptance and noncompletion of treatment for 2 specific therapies and their combination in the treatment of anorexia nervosa. DESIGN Randomized prospective study. SETTING Weill-Cornell Medical Center, White Plains, NY; University of Minnesota, Minneapo...

The convergence of model-free adaptive control MFAC algorithm can be guaranteed when the system is subject to measurement data dropout. The system output convergent speed gets slower as dropout rate increases. This paper proposes a MFAC algorithm with data compensation. The missing data is first estimated using the dynamical linearization method, and then the estimated value is introduced to up...

INTRODUCTION The dropout level from the Danish medical schools is high, but we have only little insight into this problem. The purpose of this study was to qualify the ongoing discussions concerning dropout. MATERIAL AND METHODS In this retrospective cohort study, relevant variables were extracted from the established database of Aarhus University for the 639 students initiating medicine stud...

While online education keeps expanding, web-based institutions face high dropout rate, pushing costs up and making a negative social impact. Based on the analysis of existing research, personal characteristics and learning behavior were selected as input variables to train a dropout prediction model using neural network algorithm. The outcomes of prediction model were analyzed by calculating th...