Aug 182017
 

Capture-Recapture Methods for the Social and Medical Sciences (Chapman & Hall/CRC Interdisciplinary Statistics)


Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal immigrants, illicit drug users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments which allow the application of these methods. It has contributions from more than 40 researchers, and is divided into eight parts, including topics such as ratio regression models, capture-recapture meta-analysis, extensions of single and multiple source models, latent variable models and Bayesian approaches.

The book is suitable for everyone who is interested in applying capture-recapture methods in the social and medical sciences. Furthermore, it is also of interest to those working with capture-recapture methods in biology and ecology, as there are some important developments covered in the book that also apply to these classical application areas.

List Price: $119.95 USD
New From: $105.05 USD In Stock
Used from: $108.26 USD In Stock

GET IT FREE HERE

http://nitroflare.com/view/51D46BE1C71C4CA/1498745318.pdf

Share Button
Jul 012017
 

Health and Lifestyle: Separating the Truth from the Myth with Statistics


Features: Health and Lifestyle Separating the Truth from the Myth with Statistics
By (author): Brian S. Everitt

The main message of this book is that people should be on their guard against both scare stories about risks to health, and claims for miracle cures of medical conditions. In the 21st century hardly a day passes without another article appearing in the media about a new treatment for a particular disease, new ways of improving our health by changing our lifestyle or new foodstuffs that claim to increase (or decrease) the risk of heart disease, cancer and the like.  But how should the general public react to such claims, given that some of the journalists writing them focus on the sensational rather than the mundane and often have no qualms about sacrificing accuracy and honesty for the sake of a good story? Perhaps the wisest initial response is one of healthy scepticism, followed by an attempt to discover more about the details of the studies behind the reports. But most people are not, and have little desire to become experts in health research. By reading this book, however, these non-experts can, with minimal effort, learn enough about the scientific method to differentiate between those health claims, warnings and lifestyle recommendations that have some merit and those that are unproven or simply dishonest. So if you want to know if ginseng can really help with your erectile dysfunction, if breast cancer screening is all that politicians claim it to be, if ECT for depression is really a horror treatment and should be banned, if using a mobile phone can lead to brain tumours and how to properly evaluate the evidence from health and lifestyle related studies, then this is the book for you.

List Price: $29.99 USD
New From: $21.01 USD In Stock
Used from: $15.80 USD In Stock

GET IT FREE HERE

http://nitroflare.com/view/4878EE088456330/3319425641.pdf

Share Button
Jun 262017
 

Clinical Trial Data Analysis Using R and SAS, Second Edition (Chapman & Hall/CRC Biostatistics Series)


By (author): Ding-Geng (Din) Chen, Karl E. Peace, Pinggao Zhang

Review of the First Edition

“The goal of this book, as stated by the authors, is to fill the knowledge gap that exists between developed statistical methods and the applications of these methods. Overall, this book achieves the goal successfully and does a nice job. I would highly recommend it …The example-based approach is easy to follow and makes the book a very helpful desktop reference for many biostatistics methods.”
?Journal of Statistical Software

Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical analyses of clinical trial data with step-by-step implementations using R and SAS. The book’s practical, detailed approach draws on the authors’ 30 years’ experience in biostatistical research and clinical development. The authors develop step-by-step analysis code using appropriate R packages and functions and SAS PROCS, which enables readers to gain an understanding of the analysis methods and R and SAS implementation so that they can use these two popular software packages to analyze their own clinical trial data.

What’s New in the Second Edition

  • Adds SAS programs along with the R programs for clinical trial data analysis.
  • Updates all the statistical analysis with updated R packages.
  • Includes correlated data analysis with multivariate analysis of variance.
  • Applies R and SAS to clinical trial data from hypertension, duodenal ulcer, beta blockers, familial andenomatous polyposis, and breast cancer trials.
  • Covers the biostatistical aspects of various clinical trials, including treatment comparisons, time-to-event endpoints, longitudinal clinical trials, and bioequivalence trials.
List Price: $119.95 USD
New From: $85.89 USD In Stock
Used from: $96.01 USD In Stock

GET IT FREE HERE

http://nitroflare.com/view/26A9B601181AC48/1498779522.pdf

Share Button
Jun 052017
 

Statistical Tools for Epidemiologic Research


By (author): Steve Selvin

In this innovative new book, Steve Selvin provides readers with a clear understanding of intermediate biostatistical methods without advanced mathematics or statistical theory (for example, no Bayesian statistics, no causal inference, no linear algebra and only a slight hint of calculus). This text answers the important question: After a typical first-year course in statistical methods, what next?

Statistical Tools for Epidemiologic Research thoroughly explains not just how statistical data analysis works, but how the analysis is accomplished. From the basic foundation laid in the introduction, chapters gradually increase in sophistication with particular emphasis on regression techniques (logistic, Poisson, conditional logistic and log-linear) and then beyond to useful techniques that are not typically discussed in an applied context. Intuitive explanations richly supported with numerous examples produce an accessible presentation for readers interested in the analysis of data relevant to epidemiologic or medical research.

List Price: $77.00 USD
New From: $64.79 USD In Stock
Used from: $37.99 USD In Stock

GET IT FREE HERE

http://nitroflare.com/view/4BA3D459157AF29/0199755965.pdf

Share Button
Jun 022017
 

Quantitative Decisions in Drug Development (Springer Series in Pharmaceutical Statistics)


By (author): Christy Chuang-Stein, Simon Kirby

This book offers a high-level treatise of evidence-based decisions in drug development. Because of the inseparable relationship between designs and decisions, a good portion of this book is devoted to the design of clinical trials. The book begins with an overview of product development and regulatory approval pathways. It then discusses how to incorporate prior knowledge into study design and decision making at different stages of drug development. The latter include selecting appropriate metrics to formulate decisions criteria, determining go/no-go decisions for progressing a drug candidate to the next stage and predicting the effectiveness of a product. Lastly, it points out common mistakes made by drug developers under the current drug-development paradigm.

The book offers useful insights to statisticians, clinicians, regulatory affairs managers and decision-makers in the pharmaceutical industry who have a basic understanding of the drug-development process and the clinical trials conducted to support drug-marketing authorization.

The authors provide software codes for select analytical approaches discussed in the book. The book includes enough technical details to allow statisticians to replicate the quantitative illustrations so that they can generate information to facilitate decision-making themselves.

List Price: $109.00 USD
New From: $75.10 USD In Stock
Used from: $81.20 USD In Stock

GET IT FREE HERE

http://nitroflare.com/view/0739034AA53D7DF/3319460757.pdf

Share Button
May 262017
 

Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)


Handbook of Methods for Designing, Monitoring, and Analyzing Dose-Finding Trials gives a thorough presentation of state-of-the-art methods for early phase clinical trials. The methodology of clinical trials has advanced greatly over the last 20 years and, arguably, nowhere greater than that of early phase studies. The need to accelerate drug development in a rapidly evolving context of targeted therapies, immunotherapy, combination treatments and complex group structures has provided the stimulus to these advances. Typically, we deal with very small samples, sequential methods that need to be efficient, while, at the same time adhering to ethical principles due to the involvement of human subjects.

Statistical inference is difficult since the standard techniques of maximum likelihood do not usually apply as a result of model misspecification and parameter estimates lying on the boundary of the parameter space. Bayesian methods play an important part in overcoming these difficulties, but nonetheless, require special consideration in this particular context. The purpose of this handbook is to provide an expanded summary of the field as it stands and also, through discussion, provide insights into the thinking of leaders in the field as to the potential developments of the years ahead. With this goal in mind we present:

  • An introduction to the field for graduate students and novices
  • A basis for more established researchers from which to build
  • A collection of material for an advanced course in early phase clinical trials
  • A comprehensive guide to available methodology for practicing statisticians on the design and analysis of dose-finding experiments
  • An extensive guide for the multiple comparison and modeling (MCP-Mod) dose-finding approach, adaptive two-stage designs for dose finding, as well as dose–time–response models and multiple testing in the context of confirmatory dose-finding studies.

John O’Quigley is a professor of mathematics and research director at the French National Institute for Health and Medical Research based at the Faculty of Mathematics, University Pierre and Marie Curie in Paris, France. He is author of Proportional Hazards Regression and has published extensively in the field of dose finding.

Alexia Iasonos is an associate attending biostatistician at the Memorial Sloan Kettering Cancer Center in New York. She has over one hundred publications in the leading statistical and clinical journals on the methodology and design of early phase clinical trials. Dr. Iasonos has wide experience in the actual implementation of model based early phase trials and has given courses in scientific meetings internationally.

Björn Bornkamp is a statistical methodologist at Novartis in Basel, Switzerland, researching and implementing dose-finding designs in Phase II clinical trials. He is one of the co-developers of the MCP-Mod methodology for dose finding and main author of the DoseFinding R package. He has published numerous papers on dose finding, nonlinear models and Bayesian statistics, and in 2013 won the Royal Statistical Society award for statistical excellence in the pharmaceutical industry.

List Price: $129.95 USD
New From: $105.89 USD In Stock
Used from: $91.31 USD In Stock

GET IT FREE HERE

http://nitroflare.com/view/5A44C0A53D9A9F1/1498746101.pdf

Share Button
Apr 292017
 

Bioequivalence and Statistics in Clinical Pharmacology, Second Edition (Chapman & Hall/CRC Biostatistics Series)


By (author): Scott D. Patterson, Byron Jones

Maintaining a practical perspective, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition explores statistics used in day-to-day clinical pharmacology work. The book is a starting point for those involved in such research and covers the methods needed to design, analyze, and interpret bioequivalence trials; explores when, how, and why these studies are performed as part of drug development; and demonstrates the methods using real world examples.

Drawing on knowledge gained directly from working in the pharmaceutical industry, the authors set the stage by describing the general role of statistics. Once the foundation of clinical pharmacology drug development, regulatory applications, and the design and analysis of bioequivalence trials are established, including recent regulatory changes in design and analysis and in particular sample-size adaptation, they move on to related topics in clinical pharmacology involving the use of cross-over designs. These include, but are not limited to, safety studies in Phase I, dose-response trials, drug interaction trials, food-effect and combination trials, QTc and other pharmacodynamic equivalence trials, proof-of-concept trials, dose-proportionality trials, and vaccines trials.

This second edition addresses several recent developments in the field, including new chapters on adaptive bioequivalence studies, scaled average bioequivalence testing, and vaccine trials.

Purposefully designed to be instantly applicable, Bioequivalence and Statistics in Clinical Pharmacology, Second Edition provides examples of SAS and R code so that the analyses described can be immediately implemented. The authors have made extensive use of the proc mixed procedures available in SAS.

List Price: $119.95 USD
New From: $70.46 USD In Stock
Used from: $94.04 USD In Stock

GET IT FREE HERE

http://nitroflare.com/view/301443F4D4AD3C1/146658520X.pdf

Share Button
Apr 222017
 

Statistical and Computational Methods in Brain Image Analysis (Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series)


By (author): Moo K. Chung

The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. But none of the research papers or books in the field describe the quantitative techniques with detailed illustrations of actual imaging data and computer codes. Using MATLAB® and case study data sets, Statistical and Computational Methods in Brain Image Analysis is the first book to explicitly explain how to perform statistical analysis on brain imaging data.

The book focuses on methodological issues in analyzing structural brain imaging modalities such as MRI and DTI. Real imaging applications and examples elucidate the concepts and methods. In addition, most of the brain imaging data sets and MATLAB codes are available on the author’s website.

By supplying the data and codes, this book enables researchers to start their statistical analyses immediately. Also suitable for graduate students, it provides an understanding of the various statistical and computational methodologies used in the field as well as important and technically challenging topics.

List Price: $104.95 USD
New From: $50.28 USD In Stock
Used from: $84.28 USD In Stock

GET IT FREE HERE

http://nitroflare.com/view/06AB5D21ABFF1B8/1439836353.pdf

Share Button
Apr 162017
 

Emerging Non-Clinical Biostatistics in Biopharmaceutical Development and Manufacturing (Chapman & Hall/CRC Biostatistics Series)


By (author): Harry Yang

The premise of Quality by Design (QbD) is that the quality of the pharmaceutical product should be based upon a thorough understanding of both the product and the manufacturing process. This state-of-the-art book provides a single source of information on emerging statistical approaches to QbD and risk-based pharmaceutical development. A comprehensive resource, it combines in-depth explanations of advanced statistical methods with real-life case studies that illustrate practical applications of these methods in QbD implementation.

List Price: $99.95 USD
New From: $76.35 USD In Stock
Used from: $81.95 USD In Stock

GET IT FREE HERE

http://nitroflare.com/view/859604325DB7973/1498704158.pdf

Share Button
Apr 152017
 

Phase II Clinical Development of New Drugs (ICSA Book Series in Statistics)


By (author): Naitee Ting, Ding-Geng Chen, Shuyen Ho, Joseph C. Cappelleri

This book focuses on how to appropriately plan and develop a Phase II program, and how to design Phase II clinical trials and analyze their data. It provides a comprehensive overview of the entire drug development process and highlights key questions that need to be addressed for the successful execution of Phase II, so as to increase its success in Phase III and for drug approval. Lastly it warns project team members of the common potential pitfalls and offers tips on how to avoid them.
List Price: $109.00 USD
New From: $77.11 USD In Stock
Used from: $80.98 USD In Stock

GET IT FREE HERE

http://nitroflare.com/view/15869634CB1D90B/981104192X.pdf

Share Button