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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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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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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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Methods And Applications Of Statistics In Clinical Trials

the Wiley Encyclopedia of Clinical Trials. Illustrating a variety of statistical concepts and principles such as longitudinal data, missing;

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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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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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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 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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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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Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research

study. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research explains how to determine sample size for;

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Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research

study. Sample Size Calculations for Clustered and Longitudinal Outcomes in Clinical Research explains how to determine sample size for;

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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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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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Clinical Trial Data Analysis Using R and SAS

. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation;

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Clinical Trial Data Analysis Using R and SAS

. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical;

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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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Biomarker Analysis in Clinical Trials with R

regression models for survival and longitudinal data, as well as statistical learning models, such as graphical models and penalized regression;

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Biomarker Analysis in Clinical Trials with R

regression models for survival and longitudinal data, as well as statistical learning models, such as graphical models and penalized regression;

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Statistical Design and Analysis of Clinical Trials

of different missing data processes, and describe how to analyze incomplete data by proper multiple imputations. Turn Your Students into Better;

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Defining Optimal Immunotherapies for Type 1 Diabetes

* This book is a comprehensive and up-to-date account of where we stand in immunological strategies for preventing or treating type 1;

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Management Of Data In Clinical Trials

, Second Edition explores data management and trial organization as the keys to developing an accurate and reliable clinical trial. With a focus on;

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Applied Sequential Methodologies

simulation, finance, clinical trials, sonar signal detection, randomization, multiple comparisons, psychology, tracking, surveillance, and numerous;

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