Simulation of Longitudinal Exposure Data with Variance-Covariance Structures Based on Mixed Models
نویسندگان
چکیده
منابع مشابه
Simulation of longitudinal exposure data with variance-covariance structures based on mixed models.
Longitudinal data are important in exposure and risk assessments, especially for pollutants with long half-lives in the human body and where chronic exposures to current levels in the environment raise concerns for human health effects. It is usually difficult and expensive to obtain large longitudinal data sets for human exposure studies. This article reports a new simulation method to generat...
متن کاملTransition Models for Analyzing Longitudinal Data with Bivariate Mixed Ordinal and Nominal Responses
In many longitudinal studies, nominal and ordinal mixed bivariate responses are measured. In these studies, the aim is to investigate the effects of explanatory variables on these time-related responses. A regression analysis for these types of data must allow for the correlation among responses during the time. To analyze such ordinal-nominal responses, using a proposed weighting approach, an ...
متن کاملa study on thermodynamic models for simulation of 1,3 butadiene purification columns
attempts have been made to study the thermodynamic behavior of 1,3 butadiene purification columns with the aim of retrofitting those columns to more energy efficient separation schemes. 1,3 butadiene is purified in two columns in series through being separated from methyl acetylene and 1,2 butadiene in the first and second column respectively. comparisons have been made among different therm...
On Estimation of Variance Components in the Mixed-Effects Models for Longitudinal Data
For the mixed-effects models with two variance components which is often adopted for analyzing longitudinal data, we establish some necessary and sufficient condition for equality of the analysis of variance estimate and the spectral decomposition estimate of variance components. Thus when this condition is satisfied, both estimates share some statistical properties. Two practical examples sati...
متن کاملCovariance components models for longitudinal family data.
A longitudinal family study is an epidemiological design that involves repeated measurements over time in a sample that includes families. Such studies, that may also include relative pairs and unrelated individuals, allow closer investigation of not only the factors that cause a disease to arise, but also the genetic and environmental determinants that modulate the subsequent progression of th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Risk Analysis
سال: 2012
ISSN: 0272-4332
DOI: 10.1111/j.1539-6924.2012.01869.x