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Measurement Error in Longitudinal Data

of social media. Yet our measurements of the world are often imperfect, and longitudinal data is vulnerable to measurement errors which can lead to;

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Measurement Error in Nonlinear Models

It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field;

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Joint Modeling of Longitudinal and Time-to-Event Data

-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and;

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Joint Modeling of Longitudinal and Time-to-Event Data

-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and;

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Handbook of Measurement Error Models

serves as a reference text on statistical methods and applications pertinent to measurement error models, for researchers and data analysts alike;

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Measurement Error

from Aston University and Lund University to highlight the enormous problems caused by measurement error in Economic and Financial data which;

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Longitudinal Models in the Behavioral and Related Sciences

delinquent behavior; non-linearity in growth in assessing cognitive aging; measurement error issues in longitudinal research; and distance;

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Measurement Error

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data;

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Measurement Error

Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data;

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Margins of Error

Measurement demonstrates how and hwy identifying the presence and extent of measurement errors in survey data is essential for improving the overall;

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Longitudinal Multivariate Psychology

time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social;

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Longitudinal Multivariate Psychology

time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social;

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Coverage Measurement in the 2010 Census

current plans for data collection, data analysis, and data products are still too oriented towards measurement of net coverage error to fully;

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Measurement Error in Nonlinear Models

This book analyzes how the choice of a particular disclosure limitation method, namely additive and multiplicative measurement error;

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Radiation Risk Estimation

estimation in models with measurement errors is considered. Efficiency of the methods presented is verified using data from radio-epidemiological;

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Mixed Effects Models for Complex Data

approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews;

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Mixed Effects Models for Complex Data

approaches to address dropouts, missing data, measurement errors, censoring, and outliers. For each class of mixed effects model, the author reviews;

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Measurement Techniques for Mechanical Engineers

motion measurements and digital techniques for measurement. Special measurement techniques and signal conditioning system along with data;

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Nonlinear Models for Repeated Measurement Data

Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies;

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Modern Methods for Business Research

analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data;

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Handbook of Longitudinal Research

books that only address the analysis of information. The Handbook of Longitudinal Research covers design and measurement as well as the;

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Modern Methods for Business Research

analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data;

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Multiple Imputation of Missing Data in Practice

, longitudinal data, complex surveys, etc.) Explores measurement error problems with multiple imputation Discusses analysis strategies;

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Measurement Error Models

...[the book] provides a complete treatment of an important and frequently ignored topic. Those who work with measurement error models will find;

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Longitudinal Surveys of Children

of cases, data disclosure and dissemination, and resources available for longitudinal studies. The workshop was sponsored by the National Institute;

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Advances in Longitudinal Survey Methodology

exploration of the collection of biomarker data in longitudinal surveys, including detailed measurements of ill health, biological pathways, and;

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Longitudinal Data Analysis

available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues;

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