Biostatistics and Computer based Analysis of Health Data using R

• Author : Christophe Lalanne,Mounir Mesbah
• Publisher : Elsevier
• Release : 13 July 2016

Biostatistics and Computer-Based Analysis of Health Data Using the R Software addresses the concept that many of the actions performed by statistical software comes back to the handling, manipulation, or even transformation of digital data. It is therefore of primary importance to understand how statistical data is displayed and how it can be exploited by software such as R. In this book, the authors explore basic and variable commands, sample comparisons, analysis of variance, epidemiological studies, and censored data. With

• Author : Christophe Lalanne,Mounir Mesbah
• Publisher : Elsevier
• Release : 22 June 2017

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice

• Author : Christophe Lalanne,Mounir Mesbah
• Publisher : Elsevier
• Release : 06 September 2016

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of

• Author : George Pounis
• Publisher : Academic Press
• Release : 19 October 2018

Analysis in Nutrition Research: Principles of Statistical Methodology and Interpretation of the Results describes, in a comprehensive manner, the methodologies of quantitative analysis of data originating specifically from nutrition studies. The book summarizes various study designs in nutrition research, research hypotheses, the proper management of dietary data, and analytical methodologies, with a specific focus on how to interpret the results of any given study. In addition, it provides a comprehensive overview of the methodologies used in study design and the

• Author : Christo El Morr,Manar Jammal,Hossam Ali-Hassan,Walid EI-Hallak
• Publisher : Springer Nature
• Release : 29 November 2022

This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how

• Author : Thomas W. MacFarland
• Publisher : Springer Science & Business Media
• Release : 19 November 2013

Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure the accessibility of this book for readers with a

• Author : Anonim
• Publisher : Unknown
• Release : 21 March 1989

• Author : Andrea S. Foulkes
• Publisher : Springer Science & Business Media
• Release : 28 April 2009

Statistical genetics has become a core course in many graduate programs in public health and medicine. This book presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics. Extensive examples are provided using publicly available data and the open source, statistical computing environment, R.

• Author : Dankmar Böhning
• Publisher : CRC Press
• Release : 21 March 1999

Review recent developments in the area of computer assisted analysis of mixture distributions. Beside developments in theory & algorithms, Computer Assisted Analysis of Mixtures focuses on developments in biometric applications, such as meta-analysis, disease mapping, fertility studies, estimation of prevalence under clustering, & estimation of the distribution of survival time under interval-censoring. The approach is nonparametric for the mixing distribution, including leaving the number of components of the mixing distribution unknown.

• Author : Ayman El-Baz,Jasjit S. Suri
• Publisher : CRC Press
• Release : 05 November 2019

There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of

• Author : Anonim
• Publisher : Unknown
• Release : 21 March 2023

• Author : Anonim
• Publisher : Unknown
• Release : 21 March 1994

• Author : Anonim
• Publisher : Unknown
• Release : 21 March 1987

• Author : Chap T. Le
• Publisher : Wiley-Interscience
• Release : 23 September 1998

The nonstatistician's quick reference to applied categorical data analysis With a succinct, unified approach to applied categorical data analysis and an emphasis on applications, this book is immensely useful to researchers and students in the biomedical disciplines and to anyone concerned with statistical analysis. This self-contained volume provides up-to-date coverage of all major methodologies in this area of applied statistics and acquaints the reader with statistical thinking as expressed through a variety of modern-day topics and techniques. Applied Categorical Data

• Author : Anonim
• Publisher : Unknown
• Release : 21 March 1975