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Foundational and Applied Statistics for Biologists Using R
Foundational and Applied Statistics for Biologists Using R

Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students...

Survival Analysis Using S: Analysis of Time-to-Event Data (Chapman & Hall/CRC Texts in Statistical Science)
Survival Analysis Using S: Analysis of Time-to-Event Data (Chapman & Hall/CRC Texts in Statistical Science)
Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. Prerequisites are a standard pre-calculus first course in probability and statistics, and a course in applied...
Biostatistical Design and Analysis Using R
Biostatistical Design and Analysis Using R

R is a powerful and flexible statistical and graphical environment that is freely distributed under the GNU Public Licencea for all major computing platforms (Windows, MacOSX and Linux). This open source licence along with a relatively simple scripting syntax has promoted diverse and rapid evolution and contribution. As the broader scientific...

Statistical and Machine Learning Approaches for Network Analysis (Wiley Series in Computational Statistics)
Statistical and Machine Learning Approaches for Network Analysis (Wiley Series in Computational Statistics)

Explore the multidisciplinary nature of complex networks through machine learning techniques

Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for...

Data and Safety Monitoring Committees in Clinical Trials (Chapman & Hall/Crc Biostatistics)
Data and Safety Monitoring Committees in Clinical Trials (Chapman & Hall/Crc Biostatistics)
In the world of drug development, clinical issues and statistical issues cannot be separated. All are scientific and all use applied logic. However, safety monitoring in pharmaceutical industry clinical trials through data monitoring committees (DMCs) is both an art and a science, requiring the use of sound judgment as well as sound scientific...
Spatial Analysis, GIS and Remote Sensing: Applications in the Health Sciences
Spatial Analysis, GIS and Remote Sensing: Applications in the Health Sciences
This new book explores the rapidly expanding applications of spatial analysis, GIS and remote sensing in the health sciences, and medical geography. For the practitioner or researcher this book is full of useful techniques if your work applies to environmental and public health, biostatistics, epidemiology, health services, medical geography,...
Cells and Robots: Modeling and Control of Large-Size Agent Populations (Springer Tracts in Advanced Robotics)
Cells and Robots: Modeling and Control of Large-Size Agent Populations (Springer Tracts in Advanced Robotics)
From the reviews:

"This interesting monograph is devoted to the study of multi-agent, populations of biological cells and robot teams. … The main objective of the approach is to provide solutions to the problem of how dynamics of an individual agent propagates to the population dynamics. … This original monograph has a wide...

Case Studies in Bayesian Statistical Modelling and Analysis
Case Studies in Bayesian Statistical Modelling and Analysis

Provides an accessible foundation to Bayesian analysis using real world models

This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the...

Society and Health: Sociology for Health Professionals
Society and Health: Sociology for Health Professionals

The publication of Society and Health: Sociology for Health Professionals represents the results of an information-gathering process that has extended over a 30-year career as a health professional. It reflects a determination to frame medical sociology as a multidisciplinary endeavor that must, of necessity, draw information from a wide...

Statistical Applications for Health Information Management
Statistical Applications for Health Information Management
Published in conjunction with the American Health Information Management Association (AHIMA), Statistical Applications for Health Information Management, Second Edition covers the basic biostatistics, descriptive statistics, and inferential statistics that are unique to health information management (HIM). The text provides the essential theory...
Basic Statistics Using SAS Enterprise Guide: A Primer
Basic Statistics Using SAS Enterprise Guide: A Primer

Now it's easy to perform many of the most common statistical techniques when you use the SAS Enterprise Guide point-and-click interface to access the power of SAS. Emphasizing the practical aspects of the analysis, this example-rich guide shows you how to conduct a wide range of statistical analyses without any SAS programming required. One or...

R Deep Learning Essentials
R Deep Learning Essentials

Key Features

  • Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
  • Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
  • Build models relating to neural...
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