PURPOSE To evaluate the effect of behavioral, empowerment-focused interventions on the incidence of pregnancy-related school dropout among girls in Nairobi's informal settlements. METHOD Retrospective data on pregnancy-related school dropout from two cohorts were analyzed using a matched-pairs quasi-experimental design. The primary outcome was the change in the number of school dropouts due t...

In this paper we explore the labor market returns to the General Education Development exam, or GED, using data from the Current Population Survey. We examine how the return to the GED varies between U.S. natives and the foreign-born who received their formal education outside of the U.S. We find that the foreign-schooled with a GED earn significantly higher wages than both foreign-schooled dro...

Statistical analysis based on multiple imputation (MI) of missing data when analyzing data with missing observations is gaining popularity among statisticians because of availability of computing softwares; it might be tempting to use MI whenever data is missing. An important assumption behind MI is the "ignorability of missingness." In this paper, we demonstrate the use of MI in conjunction wi...

This paper deals with the dissipative problem for uncertain time-delay networked control systems with both multiple measurement and control packet dropouts. The uncertainty is assumed to satisfy a dissipative inequality, and the multiple measurement and control packet dropouts are described by two independent Bernoulli distributed sequences. By utilizing the Lyapunov functional method, a robust...

This is the 1st study to examine the effects of individual- and program-level characteristics on treatment attrition within a prison-based setting. The sample of 1,446 men and women were from 19 programs. Differences were found in both individual- and program-level predictors of disciplinary discharges and dropouts. Dropouts were more likely to be women and enter treatment with lower levels of ...

MART (Friedman, 2001, 2002), an ensemble model of boosted regression trees, is known to deliver high prediction accuracy for diverse tasks, and it is widely used in practice. However, it suffers an issue which we call over-specialization, wherein trees added at later iterations tend to impact the prediction of only a few instances, and make negligible contribution towards the remaining instance...

Time series measurements from sensing units (e.g., UWB ranging circuits) always suffer uncertainties like noises, outliers, dropouts, and/or nonspecific anomalies. In order to extract the true information with high precision original corrupted measurements, signal-model-based signal pre-processing embedded in circuits are usually employed. However, for a general observe, its model cannot be obt...

The unbiased finite impulse response (UFIR) filter, Kalman filter (KF), and game theory $H_{\infty} $ are developed for vehicle tracking in wireless sensor networks (WSNs) with multi-step random delays multiple dropouts. problem data ...

Gene regulatory networks (GRNs) consist of gene regulations between transcription factors (TFs) and their target genes. Single-cell RNA sequencing (scRNA-seq) brings both opportunities challenges to the inference GRNs. On one hand, scRNA-seq data reveals statistic information expressions at single-cell resolution, which is conducive construction GRNs; on other noises dropouts pose great difficu...

This research is devoted to Fornasnisi-Marchesini model (FM). More precisely, the investigation of control problem for second discrete-time FM. The takes into account random packet loss and quantization errors in network environment. So our modelling method has potential achieve a better stabilization effects. Random dropouts, time delays are taken consideration feedback simultaneously. Measure...