Latent class model characterization of neighborhood socioeconomic status
نویسندگان
چکیده
منابع مشابه
Neighborhood socioeconomic status and all-cause mortality.
This study sought to determine the contribution of neighborhood socioeconomic status to all-cause mortality and to explore its correlates. As part of the longitudinal "Gezondheid en LevensOmstandigheden Bevolking en omstreken" (GLOBE) study in the Netherlands, 8,506 randomly selected men and women aged 15-74 years from 86 neighborhoods in the city of Eindhoven reported on their socioeconomic st...
متن کاملAssets as a Socioeconomic Status Index: Categorical Principal Components Analysis vs. Latent Class Analysis.
BACKGROUND Some variables like Socioeconomic Status (SES) cannot be directly measured, instead, so-called 'latent variables' are measured indirectly through calculating tangible items. There are different methods for measuring latent variables such as data reduction methods e.g. Principal Components Analysis (PCA) and Latent Class Analysis (LCA). OBJECTIVES The purpose of our study was to mea...
متن کاملNeighborhood socioeconomic status and Hodgkin's lymphoma incidence in California.
Hodgkin's lymphoma occurrence has long been noted to associate with higher socioeconomic status (SES). However, the Hodgkin's lymphoma-SES association has not been examined recently or across important, possibly etiologically distinct, patient subgroups. In approximately 150 million person-years of observation in the multiethnic population of California, we examined the association of Hodgkin's...
متن کاملIs Childhood Socioeconomic Status Independently Associated with Adult BMI after Accounting for Adult and Neighborhood Socioeconomic Status?
Childhood socioeconomic status (SES) is inversely associated with adult weight in high income countries. Whether the influence of childhood SES on adult weight is best described using a critical period model or an accumulation of risk model is not yet settled. This research tests whether childhood SES is associated with adult BMI and likelihood of obesity independent of adult socioeconomic stat...
متن کاملAn application of Measurement error evaluation using latent class analysis
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
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ژورنال
عنوان ژورنال: Cancer Causes & Control
سال: 2016
ISSN: 0957-5243,1573-7225
DOI: 10.1007/s10552-015-0711-4