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Fourth National Incidence Study of Child Abuse and Neglect (NIS-4)

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The article was published on 2010-01-01 and is currently open access. It has received 887 citations till now. The article focuses on the topics: Child abuse & Neglect.

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Citations
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The economic burden of child maltreatment in the United States and implications for prevention.

TL;DR: Compared with other health problems, the burden of child maltreatment is substantial, indicating the importance of prevention efforts to address the high prevalence ofChild maltreatment.
Journal ArticleDOI

Prevalence of Childhood Exposure to Violence, Crime, and Abuse: Results From the National Survey of Children’s Exposure to Violence

TL;DR: Children and youth are exposed to violence, abuse, and crime in varied and extensive ways, which justifies continued monitoring and prevention efforts.
Journal ArticleDOI

Stress and parenting during the global COVID-19 pandemic.

TL;DR: Findings suggest that although families experience elevated stressors from COVID-19, providing parental support and increasing perceived control may be promising intervention targets.
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Prevalence of Adverse Childhood Experiences From the 2011-2014 Behavioral Risk Factor Surveillance System in 23 States.

TL;DR: This report demonstrates the burden of ACEs among the US adult population using the largest and most diverse sample to date and highlights that childhood adversity is common across sociodemographic characteristics, but some individuals are at higher risk of experiencing ACEs than others.
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Annual Research Review: Resilient Functioning in Maltreated Children--Past, Present, and Future Perspectives.

TL;DR: The literature on the determinants of resilience in maltreated children is selectively reviewed and criteria for the inclusion of the studies are delineated in this paper, where the majority of the research on the contributors to resilient functioning has focused on a single level of analysis and on psychosocial processes.
References
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Book

Pattern recognition and neural networks

TL;DR: Professor Ripley brings together two crucial ideas in pattern recognition; statistical methods and machine learning via neural networks in this self-contained account.
Book

Introduction To Variance Estimation

TL;DR: The method of random groups and the Bootstrap method have been used for estimating variance in complex surveys as discussed by the authors, as well as the Jackknife method and Taylor series methods for generalized variance functions.
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On Chi-Squared Tests for Multiway Contingency Tables with Cell Proportions Estimated from Survey Data

TL;DR: In this paper, the impact of survey design on standard multinomial-based methods for a multiway contingency table is studied, under nested loglinear models, and the asymptotic null distribution of the Pearson chi-squared test statistic, $X^2$, is obtained as a weighted sum of independent $\chi^2_1$ random variables, and weights are then related to the familiar design effects (deffs) used by survey samplers.
Book

Analysis of Health Surveys

TL;DR: Basic Survey Methodology and Statistical Analysis with Survey Data: Cross--Sectional Analyses.
Journal ArticleDOI

The Analysis of Categorical Data from Complex Sample Surveys: Chi-Squared Tests for Goodness of Fit and Independence in Two-Way Tables

TL;DR: The effect of stratification and clustering on the asymptotic distributions of standard Pearson chi-squared test statistics for goodness of fit and independence in a two-way contingency table, denoted as X 2 and XI 2, respectively, is investigated in this article.
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