Longitudinal Data Analysis
نویسندگان
چکیده
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منابع مشابه
Marginal Analysis of A Population-Based Genetic Association Study of Quantitative Traits with Incomplete Longitudinal Data
A common study to investigate gene-environment interaction is designed to be longitudinal and population-based. Data arising from longitudinal association studies often contain missing responses. Naive analysis without taking missingness into account may produce invalid inference, especially when the missing data mechanism depends on the response process. To address this issue in the ana...
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Mixed models are widely used to analyze longitudinal data. In their conventional formulation as linear mixed models (LMMs) and generalized LMMs (GLMMs), a commonly indispensable assumption in settings involving longitudinal non-Gaussian data is that the longitudinal observations from subjects are conditionally independent, given subject-specific random effects. Although conventional Gaussian...
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Abstract. In this paper, dynamic longitudinal categorical data and estimation of their parameters in incomplete contingency tables are evaluated. To apply the proposed method, a study has been conducted on the data of the semi-concentrated doctoral exam of the National Organization for Educational Testing (NOET). The results of studies such as the obtained confidence intervals and calculating t...
متن کاملLongitudinal Discriminant Analysis with Random Effects for Predicting Preeclampsia using Hematocrit Data
Background and Objectives: Preeclampsia is the third leading cause of death in pregnant women. This study was conducted to evaluate the ability of longitudinal hematocrit data to predict preeclampsia and to compare the accuracy in longitudinal and cross-sectional data. Materials and Methods: In a prospective cohort study from October 2010 to July 2011, 650 pregnant women referred to the prenata...
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MethodsUsing time series data of national level (1967 to 2012 years), we explored the association between total fertility rate, GDP per capita, number of physician per 1000 populations, female labor force participation rate, percentage of people living in rural regions and mean years schooling for each people with infant mortality rate of Iran. These data were obtained from Central Bank of Isla...
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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 ...
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