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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...
Advances in Statistical Methods for the Health Sciences: Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis (Statistics for Industry and Technology)
Advances in Statistical Methods for the Health Sciences: Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis (Statistics for Industry and Technology)

Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences,...

Applied Statistical Genetics with R: For Population-based Association Studies (Use R!)
Applied Statistical Genetics with R: For Population-based Association Studies (Use R!)

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...

Clinical Trial Data Analysis Using R (Chapman & Hall/CRC Biostatistics Series)
Clinical Trial Data Analysis Using R (Chapman & Hall/CRC Biostatistics Series)

Too often in biostatistical research and clinical trials, a knowledge gap exists between developed statistical methods and the applications of these methods. Filling this gap, Clinical Trial Data Analysis Using R provides a thorough presentation of biostatistical analyses of clinical trial data and shows step by step...

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...
Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series)
Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series)
Adaptive design has become an important tool in modern pharmaceutical research and development. Compared to a classic trial design with static features, an adaptive design allows for the modification of the characteristics of ongoing trials based on cumulative information. Adaptive designs increase the probability of success, reduce costs...
Statistics for Bioengineering Sciences: With MATLAB and WinBUGS Support (Springer Texts in Statistics)
Statistics for Bioengineering Sciences: With MATLAB and WinBUGS Support (Springer Texts in Statistics)

Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing engineering fields, bioengineering and biomedical engineering, while implementing software that engineers are familiar with.

The author integrates introductory statistics for engineers and  introductory...

Mathematical Statistics with Resampling and R
Mathematical Statistics with Resampling and R
This book bridges the latest software applications with the benefits of modern resampling techniques

Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques...

Pediatric Critical Care: Text and Study Guide
Pediatric Critical Care: Text and Study Guide

This extensively updated textbook is a comprehensive study guide that covers pediatric critical care principles and specific disease entities commonly encountered by the pediatric critical care medicine (PCCM) practitioner. Pathophysiologic aspects unique to the pediatric patient are emphasized. The first edition has become a highly...

Statistical Methods for Health Sciences, Second Edition
Statistical Methods for Health Sciences, Second Edition
…although the book is apparently intended for non-statisticians, it covers material well beyond an introductory course.
Biometrics, Vol. 56, No. 2, June 2000

Building upon material presented in the first edition, Statistical Methods for Health Sciences, Second Edition continues to address the analytical issues
...
Primer of Biostatistics: Sixth Edition
Primer of Biostatistics: Sixth Edition
I have always thought of myself as something of an outsider and troublemaker, so it is with some humility that I prepare the sixth edition of this book, 24 years after the first edition appeared. Then, as now, the book had an unusual perspective: that many papers in the medical literature contained avoidable errors. At the time,...
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