Search results for "IMPUTATION"

Structure and determinants of production in Textile-Clothing-Leather-Skins (TCLS) craft industry in Benin: a study based on investigations of the val…

2014

Lieu et date de la conférence modifiées. Prétoria 31Juillet au 2 Août 2014 (Au lieu de Kigali -Rwanda); International audience; Sustainable economic growth in Benin requires a better understand of the informalsector, which contributes to two-thirds of GDP. Particularly, craft industry and TCLSsubsector is one of informal activity sector to be handled. The objectives of this work wereto identify the structure and factors that determine the production in TCLS craft industry.This study was based on a survey carried out in February 2011 on value creationdata in craft industry of TCLS in Benin. Lack of data induced by informal activities wascircumvented using an imputation method. A Multiple Cor…

Analysis and evaluation of cell imputation

2008

The effect of women’s participation in the labour market on the postponement of first childbirth: a comparison of Italy and Hungary

2014

This paper analyses the effect of increasing female participation in the labour market on the transition to first childbirth. Regional perspectives are considered to help us understand how postponement behaviour is changing over time and at different paces in each region. The analysis is based on the first wave of the Generations and Gender Survey of Italy and Hungary. We use a multilevel event history random intercept model to examine the effect of individuals’ positions in the labour market on the transition to motherhood, controlling for differences in macrolevel factors related to regional backgrounds in the two countries. The regional data for Italy came from the Italian National Stati…

Edge-Based Missing Data Imputation in Large-Scale Environments

2021

Smart cities leverage large amounts of data acquired in the urban environment in the context of decision support tools. These tools enable monitoring the environment to improve the quality of services offered to citizens. The increasing diffusion of personal Internet of things devices capable of sensing the physical environment allows for low-cost solutions to acquire a large amount of information within the urban environment. On the one hand, the use of mobile and intermittent sensors implies new scenarios of large-scale data analysis

Seeing Missing Values

2011

Meta-analysis of genome-wide association studies of attention-deficit/hyperactivity disorder

2010

Contains fulltext : 87688.pdf (Publisher’s version ) (Closed access) OBJECTIVE: Although twin and family studies have shown attention-deficit/hyperactivity disorder (ADHD) to be highly heritable, genetic variants influencing the trait at a genome-wide significant level have yet to be identified. As prior genome-wide association studies (GWAS) have not yielded significant results, we conducted a meta-analysis of existing studies to boost statistical power. METHOD: We used data from four projects: a) the Children's Hospital of Philadelphia (CHOP); b) phase I of the International Multicenter ADHD Genetics project (IMAGE); c) phase II of IMAGE (IMAGE II); and d) the Pfizer-funded study from the…

Acting under the idea of freedom: Kant and the Incorporation Thesis

2010

Este artículo examina un supuesto fundamental de la filosofía moral kantiana, a saber: que sin libertad trascendental, entendida como la propiedad de la voluntad por la que se determina a actuar sin ser afectada por resortes sensibles, no se le pueden imputar al presunto agente actos inmorales. Teóricamente se argumenta contra el sentido lógico del supuesto (se revela la consecuencia aporética de la concepción) y se muestra cuán superfluo es en la práctica. De todos modos, se le reconoce a Kant, contra una línea de argumentación nietzscheana bien conocida, el mérito de haber captado el compromiso humano insuperable con la idea de que somos seres discrecionales o libres trascendentalmente. Y…

Treating missing data in a clinical neuropsychological dataset--data imputation.

2001

Missing data frequently reduce the applicability of clinically collected data in research requiring multivariate statistics. In data imputation, missing values are replaced by predicted values obtained from models based on auxiliary information. Our aim was to complete a clinical child neuropsychological data set containing 5.2% of missing observations. This was to be used in research requiring multivariate statistics. We compared four data imputation methods by artificially deleting some data. A real-donor imputation method which preserved the parameter estimates and which predicted the observed values with acceptable accuracy was used to complete the data set. In addressing the lack of st…

Factors Influencing Teachers’ Use of ICT in Class: Evidence from a Multilevel Logistic Model

2022

Information and Communication Technologies (ICTs) have become a key factor in the educational context, especially in the aftermath of the COVID-19 pandemic, and, correctly implemented, can help to improve academic performance. The aim of this research was to analyse the factors that influence teachers’ decisions to use ICT more- or less frequently to carry out tasks and exercises in their classes. To this end, we estimated a multilevel logistic model with census data from the individualized evaluation of students of the Community of Madrid (Spain) carried out at the end of the 2018–2019 academic year in primary and secondary education. Additionally, we applied multiple imputation techniques…

Regression with imputed covariates: A generalized missing-indicator approach

2011

A common problem in applied regression analysis is that covariate values may be missing for some observations but imputed values may be available. This situation generates a trade-off between bias and precision: the complete cases are often disarmingly few, but replacing the missing observations with the imputed values to gain precision may lead to bias. In this paper, we formalize this trade-off by showing that one can augment the regression model with a set of auxiliary variables so as to obtain, under weak assumptions about the imputations, the same unbiased estimator of the parameters of interest as complete-case analysis. Given this augmented model, the bias-precision trade-off may the…