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Applied Missing Data Analysis in the Health Sciences

This book provides a modern, hands-on guide to the essential concepts and ideas for analyzing data with missing observations in the field;

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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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Applied Biostatistics for the Health Sciences, Sec ond Edition

APPLIED BIOSTATISTICS FOR THE HEALTH SCIENCES In this newly revised edition of Applied Biostatistics for the Health Sciences;

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Applied Longitudinal Analysis

of the American Statistical Association Features newly developed topics and applications of the analysis of longitudinal data Applied;

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Applied Compositional Data Analysis

This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and;

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Complex Surveys

applied statisticians and sophisticated users of statistics in the health and social sciences, the text employs large data sets throughout to;

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Applied Bayesian Modeling and Causal Inference from Incomplete Data Perspectives

This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation;

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Applied Genomics and Public Health

Applied Genomics and Public Health examines the interdisciplinary and growing area of how evidence-based genomic knowledge can be;

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Methods and Applications of Statistics in the Life and Health Sciences

analysis, missing data techniques, and cluster analysis for handling the wide array of modern issues in the life and health sciences. With its;

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Statistical Data Analysis Explained

Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This;

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Statistical Power Analysis with Missing Data

, gerontology and other social and health sciences. The book's applied approach will also appeal to researchers in these areas. Sections covering;

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Biostatistics and Computer-based Analysis of Health Data using Stata

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data;

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Biostatistics and Computer-based Analysis of Health Data Using SAS

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data;

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Longitudinal Data Analysis

examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions;

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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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Modern Statistical Methods for Health Research

This book brings together the voices of leading experts in the frontiers of biostatistics, biomedicine, and the health sciences to discuss;

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Flexible Imputation of Missing Data

"""Preface We are surrounded by missing data. Problems created by missing data in statistical analysis have long been swept under the;

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AI and Machine Learning Paradigms for Health Monitoring System

applications of AI, ML and data analytics shall be covered over the wide variety of applications in hospital, health, engineering and/or applied;

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Applied Bayesian Modelling

techniques in a wide range of important topics in the social and health sciences. The applications are illustrated through many real-life examples;

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Introduction to Research Methods and Data Analysis in the Health Sciences

Data Analysis in the Health Sciences presents a balanced blend of quantitative research methods, and the most widely used techniques for;

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Applied Multiway Data Analysis

From a preeminent authority-a modern and applied treatment of multiway data analysis This groundbreaking book is the first of its kind to;

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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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Biostatistics for Epidemiology and Public Health Using R

analysis and graphical output. This is the first textbook to present classical biostatistical analysis for epidemiology and related public health;

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Spatial Data Analysis in the Social and Environmental Sciences

Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis;

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Longitudinal Data Analysis

examples are provided at www.psypress.com/longitudinal-data-analysis. Although many of the examples address health or social science questions;

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An Introduction to Applied Multivariate Analysis

-multivariate-analysis - provides files with all of the data used in the text so readers can replicate the results. The Appendix explains the data files;

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Applied Statistics for the Social and Health Sciences

Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills;

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