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Missing Data In Clinical Studies

Missing Data in Clinical Studies provides a comprehensive account of the problems arising when data from clinical and related studies are;

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Clinical Trials With Missing Data

invaluable. The authors describe how missing data can affect the outcome and credibility of a clinical trial, show by examples how a clinical team;

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Preventing and Treating Missing Data in Longitudinal Clinical Trials

method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with;

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Preventing and Treating Missing Data in Longitudinal Clinical Trials

method. This book focuses on the prevention and treatment of missing data in longitudinal clinical trials. Based on his extensive experience with;

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Handbook of Missing Data Methodology

discusses special topics, such as missing data in clinical trials and sample surveys as well as approaches to model diagnostics in the missing data;

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Design and Analysis of Quality of Life Studies in Clinical Trials

features of QoL data: its longitudinal nature, multidimensionality, and the problem of missing data. The author uses three real clinical trials;

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Multiple Imputation in Practice

complex problems using real and simulated data sets. Data sets from cross-sectional, retrospective, prospective and longitudinal studies;

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Multiple Imputation in Practice

complex problems using real and simulated data sets. Data sets from cross-sectional, retrospective, prospective and longitudinal studies;

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Missing Data in Longitudinal Studies

Drawing from the authors' own work and from the most recent developments in the field, Missing Data in Longitudinal Studies: Strategies for;

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Analyzing Longitudinal Clinical Trial Data: A Practical Guide

Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest;

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Analyzing Longitudinal Clinical Trial Data: A Practical Guide

Analyzing Longitudinal Clinical Trial Data: A Practical Guide provides practical and easy to implement approaches for bringing the latest;

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Understanding Clinical Papers

material on missing data, sub-group analysis, feasibility and pilot studies, cluster randomised trials, and adaptive trial designs Includes new;

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Multiple Imputation of Missing Data in Practice

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple;

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Applied Longitudinal Data Analysis For Epidemiology

rewritten. The analysis of data from experimental studies and the problem of missing data in longitudinal studies are discussed. Finally, an;

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Applied Longitudinal Data Analys Epidemi

rewritten. The analysis of data from experimental studies and the problem of missing data in longitudinal studies are discussed. Finally, an;

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Introduction To Medical Statistics 4E

text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how;

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Design and Analysis of Quality of Life Studies in Clinical Trials

missing data New chapter on quality adjusted life-years (QALYs) and QTWiST specific to clinical trials Additional examples of the;

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Assessing Quality Of Life In Clinical Trials

addressing analysis and the methods of analysing studies with missing data is followed by chapters on interpretation of results and exploring the;

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Computational Reconstruction of Missing Data in Biological Research

data. In this book, we introduce different types of biological data missing scenarios and propose machine learning models to improve the data;

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The Cambridge Handbook of Research Methods in Clinical Psychology

learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and;

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The Cambridge Handbook of Research Methods in Clinical Psychology

learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and;

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Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research

Accurate sample size calculation ensures that clinical studies have adequate power to detect clinically meaningful effects. This results;

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Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research

Accurate sample size calculation ensures that clinical studies have adequate power to detect clinically meaningful effects. This results;

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Observational Studies in a Learning Health System

collected clinical data, the Institute of Medicine's Roundtable on Value & Science-Driven Health Care convened a workshop on Observational Studies;

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Strategies for Data Analysis with Two Types of Missing Values

Missing data, an issue frequently encountered in data analysis, causes difficulties with estimation, precision and inference. Methods for;

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Methods and Applications of Statistics in Clinical Trials, Volume 1 and Volume 2

, confounding, covariates, missing data, and longitudinal data. Examples of ongoing, cutting-edge clinical trials from today's research such as early;

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Missing Data

Missing data have long plagued those conducting applied research in the social, behavioral, and health sciences. Good missing data;

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