【新书推荐】生命医药最新原版外文图书推荐（第26期）

Molecular Data Analysis Using R

馆藏地：图书馆主馆A400阅览室

索书号：Q7-39 O78M 2017

著者：Csaba Ortutay, Zsuzsanna Ortutay

出版社：Wiley-Blackwell

出版年：2017

简介：The first book to explain how to use R and Bioconductor for the analysis of several types of experimental data in the field of molecular biology. This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology.

Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel 

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索书号：R311 H669I 2016

著者：Robert P. Hirsch

出版社：Wiley

出版年：2016

简介：The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels.

Applied Biclustering Methods for Big and High Dimensional Data Using R

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索书号：TP274 A652A 2017

著者：Adetayo Kasim

出版社：CRC

出版年：2016

简介：The book shows how to apply biclustering methods to find local patterns in a big data matrix. It presents an overview of data analysis using biclustering methods from a practical point of view. Real case studies in drug discovery, genetics, marketing research, biology, toxicity, and sports illustrate the use of several biclustering methods. The examples, software, and other materials are available on a supplementary website.

Dynamical Biostatistical Models

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索书号：Q-332 C734D 2016

著者：Commenges, Daniel

出版社：CRC

出版年：2016

简介：The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history. It describes advanced regression models that include the time dimension, such as mixed-effect models, survival models, multistate models, and joint models for repeated measures and time-to-event data. It also explores the possibility of unifying these models through a stochastic process point of view and introduces the dynamic approach to causal inference.

Statistical Design and Analysis of Clinical Trials: Principles and Methods

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索书号：R969.4-32 S555S 2016

著者：Shih, Weichung Joe

出版社：CRC

出版年：2016

简介：The book shows how biostatistics in clinical trials is an integration of many fundamental scientific principles and statistical methods. The book begins with ethical and safety principles, core trial design concepts, the principles and methods of sample size and power calculation, and analysis of covariance and stratified analysis. It then focuses on sequential designs and methods for two-stage Phase II cancer trials to Phase III group sequential trials.