Results 71 to 80 of about 22,022,166 (202)
Multidimensional Nature of Undernutrition: A Statistical Approach [PDF]
The statistical assessment of undernutrition is usually restricted to a pairwise analysis of anthropometric indicators. The main objective of this study was to model the associations between underweight, stunting and wasting and to check whether ...
Nguefack-Tsague, Georges +1 more
core
Using standardised tables for interpreting Loglinear models
, 2004 loglinear models, standardised tables, coefficients, interpretation,
Hendrickx, J., John Hendrickx
core +1 more source
The Re-stratification of Czech Politics: Class Voting in the Czech Republic between 1992 and 2010
Sociologický Časopis, 2011 This article examines the development of class voting in the Czech Republic, 1992- 2010. While many Western countries have been experiencing declining or stable associations between class and electoral choice, we hypothesize that the trend in class ...
Michael L. Smith, Petr Matějů
doaj +1 more source
, 2014 Nussbeck FW. Loglinear models. In: Michalos AC, ed. Encyclopedia of Quality of Life and Well-Being Research.
Michalos, Alex C. +1 more
core
The effect of antituberculosis treatment on interferon-γ release assay results
Monaldi Archives for Chest Disease, 2015 Background and Aim. Monitoring the efficacy of antituberculosis therapy is crucial. The aim of this work is to investigate the effect of tuberculosis treatment on interferon- γ response using Quanti-FERON©-TB Gold in tube (QFT-GIT). Methods.
M. Bugiani +6 more
doaj +1 more source
Power analysis for loglinear growth models
Multilevel analysis is often used to analyse longitudinal growth data. However, sample size calculations in an a priori power analysis are often based on simpler models. As a result, sample sizes may be inadequate or unnecessarily high.This article shows how to calculate sample sizes for a log-linear growth model using a user-friendly online app.
Mirjam Moerbeek +2 more
openaire +1 more source
Loglinear models: an approach based on divergences
, 2003 In this paper we present a review of some results about inference based on o-divergence measures, under assumptions of multinomial sampling and loglinear models.
Pardo, L.
core
Rcapture: Loglinear Models for Capture-Recapture in R
Journal of Statistical Software, 2007 This article introduces Rcapture, an R package for capture-recapture experiments. The data for analysis consists of the frequencies of the observable capture histories over the t capture occasions of the experiment. A capture history is a vector of zeros
Sophie Baillargeon, Louis-Paul Rivest
doaj
Balkan Medical Journal, 2011 Objective: The aim of the study was to examine log-linear analysis and correspondence analysis by an application with regard to advantages and disadvantages of the two methods.Material and Method: In this study, we used an artificial data set, which is ...
Ersin Öğüş, Ayşe Canan Yazıcı
doaj
Piecewise loglinear frontier and log efficiency measures
, 2011 [[abstract]]Scope and Purpose--In the Data Envelopment Analysis literature several methods use loglinear production functions for measuring decision-making-units' (DMUs)efficiency.
Kuo-Ping C.; Yeah-Yuh G
core +1 more source