Apr 062017
 

Key Statistical Concepts in Clinical Trials for Pharma (SpringerBriefs in Pharmaceutical Science & Drug Development)


Features: Used Book in Good Condition
By (author): J. Rick Turner

This Brief discusses key statistical concepts that facilitate the inferential analysis of data collected from a group of individuals participating in a pharmaceutical clinical trial, the estimation of their clinical significance in the general population of individuals likely to be prescribed the drug if approved, and the related decision-making that occurs at both the public health level (by regulatory agencies when deciding whether or not to approve a new drug for marketing) and the individual patient level (by physicians and their patients when deciding whether or not the patient should be prescribed a drug that is on the market). These concepts include drug safety and efficacy, statistical significance, clinical significance, and benefit-risk balance.
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Mar 222017
 

Disease Mapping with WinBUGS and MLwiN


Features: Disease Mapping with WinBUGS and MLwiN
By (author): Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro

Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages – such as WinBUGS and MLwiN – are now easy to implement in practice.

  • Provides an introduction to Bayesian and multilevel modelling in disease mapping.
  • Adopts a practical approach, with many detailed worked examples.
  • Includes introductory material on WinBUGS and MLwiN.
  • Discusses three applications in detail – relative risk estimation, focused clustering, and ecological analysis.
  • Suitable for public health workers and epidemiologists with a sound statistical knowledge.
  • Supported by a Website featuring data sets and WinBUGS and MLwiN programs.

Disease Mapping with WinBUGS and MLwiN  provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data.

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Mar 032017
 

Mahajan’s Methods in Biostatistics for Medical Students and Research Workers


By (author): Arun Bhadra Khanal

Brand New Book in Perfect Condition.Fast Shipping with tracking number.
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Jan 222017
 

Computational Intelligence Methods for Bioinformatics and Biostatistics: 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, … Papers (Lecture Notes in Computer Science)


This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2015, held in Naples, Italy, in September, 2015.

The  21 revised full papers presented were carefully reviewed and selected from 24 submissions. They present problems concerning computational techniques in bioinformatics, systems biology and medical informatics discussing cutting edge methodologies and accelerate life science discoveries, as well as novel challenges with an high impact on molecular biology and translational medicine.

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Jan 082017
 

Statistical Techniques for Neuroscientists (Frontiers in Neuroscience)


Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary point processes and time series. Algorithms and software development are given in each chapter to reproduce the computer simulated results described therein.

The book examines current statistical methods for solving emerging problems in neuroscience. These methods have been applied to data involving multichannel neural spike train, spike sorting, blind source separation, functional and effective neural connectivity, spatiotemporal modeling, and multimodal neuroimaging techniques. The author provides an overview of various methods being applied to specific research areas of neuroscience, emphasizing statistical principles and their software. The book includes examples and experimental data so that readers can understand the principles and master the methods.

The first part of the book deals with the traditional multivariate time series analysis applied to the context of multichannel spike trains and fMRI using respectively the probability structures or likelihood associated with time-to-fire and discrete Fourier transforms (DFT) of point processes. The second part introduces a relatively new form of statistical spatiotemporal modeling for fMRI and EEG data analysis. In addition to neural scientists and statisticians, anyone wishing to employ intense computing methods to extract important features and information directly from data rather than relying heavily on models built on leading cases such as linear regression or Gaussian processes will find this book extremely helpful.

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Jan 062017
 

Essentials of a Successful Biostatistical Collaboration (Chapman & Hall/CRC Biostatistics Series)


By (author): Arul Earnest

The aim of this book is to equip biostatisticians and other quantitative scientists with the necessary skills, knowledge, and habits to collaborate effectively with clinicians in the healthcare field. The book provides valuable insight on where to look for information and material on sample size and statistical techniques commonly used in clinical research, and on how best to communicate with clinicians. It also covers the best practices to adopt in terms of project, time, and data management; relationship with collaborators; etc.

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Dec 292016
 

Clinical and Statistical Considerations in Personalized Medicine (Chapman & Hall/CRC Biostatistics Series)


The Future of Clinical Research and Health Care: From Empirical to Precision Medicine
Clinical and Statistical Considerations in Personalized Medicine explores recent advances related to biomarkers and their translation into clinical development. Leading clinicians, biostatisticians, regulators, commercial professionals, and researchers address the opportunities and challenges in successfully applying biomarkers in drug discovery and preclinical and clinical development.

Robust Biomarkers for Drug Development and Disease Treatment
The first four chapters discuss biomarker development from a clinical perspective. Coverage ranges from an introduction to biomarkers to advances in RNAi screens, epigenetics, and rare diseases as targets for personalized medicine approaches. Subsequent chapters examine the statistical considerations in applying a personalized medicine approach, including multiplicity in pharmacogenomics. The last chapter assesses the regulatory issues involved in using biomarkers.

Improve Patient Care and Reduce Costs and Side Effects
Despite the vast amount of literature on biomarkers, there is no comprehensive book that integrates the clinical and statistical components. This book is one of the first to incorporate both the clinical and statistical aspects of biomarkers in the personalized medicine paradigm. Covering a wide spectrum of personalized medicine-related topics, it presents state-of-the-art techniques for advancing the application of biomarkers in drug discovery and development.

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Dec 262016
 

High-Yield™ Biostatistics (High-Yield Series)


Features: Used Book in Good Condition
By (author): MD, PhD. Anthony N. Glaser

Part of the successful High-Yield™ Series, High-Yield™ Biostatistics, Second Edition explains concepts, provides examples, and covers the complete range of biostatistics material that can be expected to appear on the USMLE Step 1. New to this edition are references to evidence-based medicine, and information updated to reflect changes in the current USMLE examinations.
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Dec 242016
 

A Concise Guide to Clinical Trials


Features: Used Book in Good Condition
By (author): Allan Hackshaw

Clinical trials have revolutionized the way disease is prevented, detected and treated, and early death avoided, and they continue to be an expanding area of research. They are central to the work of pharmaceutical companies, and there are many academic and public sector organizations that conduct trials on a wide variety of interventions, including drugs, devices, surgical techniques, and changes in behaviour and lifestyle.

A Concise Guide to Clinical Trials provides a comprehensive yet easy-to-read overview of the design, conduct and analysis of trials. It requires no prior knowledge on the subject as the important concepts are introduced throughout. There are chapters that distinguish between the different types of trials, and an introduction to systematic reviews, health-related quality of life and health economic evaluation. The book also covers the ethical and legal requirements in setting up a clinical trial due to an increase in governance responsibilities and regulations.

This practical guidebook is ideal for busy clinicians and other health professionals who do not have enough time to attend courses or search through extensive textbooks. It will help anyone involved in undertaking clinical research, or those reading about trials. The book is aimed at:

  • Those wishing to learn about clinical trials for the first time, or as a quick reference guide, for example as part of a taught course on clinical trials
  • Health professionals who wish to conduct their own trials, or participate in other people’s studies
  • People who work in pharmaceutical companies, grant funding organisations, or regulatory agencies
List Price: $69.95 USD
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Dec 242016
 

Medical Statistics at a Glance Workbook


Features: Used Book in Good Condition
By (author): Aviva Petrie, Caroline Sabin

This comprehensive workbook contains a variety of self-assessment methods that allow readers to test their statistical knowledge, put it into practice, and apply it in a medical context, while also providing guidance when critically appraising published literature. It is designed to support the best-selling third edition of Medical Statistics at a Glance, to which it is fully cross-referenced, but may be used independently of it.

Ideal for medical students, junior doctors, researchers and anyone working in the biomedical and pharmaceutical disciplines who wants to feel more confident in basic medical statistics, the title includes:

• Over 80 MCQs, each testing knowledge of a single statistical concept or aspect of study interpretation
• 29 structured questions  to explore in greater depth several statistical techniques or principles, including  the choice of appropriate statistical analyses and the interpretation of study findings
• Templates for the appraisal of clinical trials and observational studies, plus full appraisals of two published papers to demonstrate the use of these templates in practice
• Detailed step-by-step analyses of two substantial data sets (also available at www.medstatsaag.com) to demonstrate the application of statistical procedures to real-life research

Medical Statistics at a Glance Workbook is the ideal resource to test statistical knowledge and improve analytical and interpretational skills.

Additional resources are available at www.medstatsaag.com, including:
• Excel datasets to accompany the data analysis section
• Downloadable PDFs of two templates for critical appraisal
• Links to online further reading
• Supplementary MCQs

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