Showing posts with label data. Show all posts
Showing posts with label data. Show all posts

Sunday, July 7, 2013

Bioinformatics: Managing Scientific Data (The Morgan Kaufmann Series in Multimedia Information and Systems) Shopping


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Life science data integration and interoperability is one of the most challenging problems facing bioinformatics today. In the current age of the life sciences, investigators have to interpret many types of information from a variety of sources: lab instruments, public databases, gene expression profiles, raw sequence traces, single nucleotide polymorphisms, chemical screening data, proteomic data, putative metabolic pathway models, and many others. Unfortunately, scientists are not currently able to easily identify and access this information because of the variety of semantics, interfaces, and data formats used by the underlying data sources.

Bioinformatics: Managing Scientific Data tackles this challenge head-on by discussing the current approaches and variety of systems available to help bioinformaticians with this increasingly complex issue. The heart of the book lies in the collaboration efforts of eight distinct bioinformatics teams that describe their own unique approaches to data integration and interoperability. Each system receives its own chapter where the lead contributors provide precious insight into the specific problems being addressed by the system, why the particular architecture was chosen, and details on the system's strengths and weaknesses. In closing, the editors provide important criteria for evaluating these systems that bioinformatics professionals will find valuable.

* Provides a clear overview of the state-of-the-art in data integration and interoperability in genomics, highlighting a variety of systems and giving insight into the strengths and weaknesses of their different approaches.
* Discusses shared vocabulary, design issues, complexity of use cases, and the difficulties of transferring existing data management approaches to bioinformatics systems, which serves to connect computer and life scientists.
* Written by the primary contributors of eight reputable bioinformatics systems in academia and industry including: BioKris, TAMBIS, K2, GeneExpress, P/FDM, MBM, SDSC, SRS, and DiscoveryLink.

Bioinformatics: Managing Scientific Data (The Morgan Kaufmann Series in Multimedia Information and Systems)

Product Description : Bioinformatics: Managing Scientific Data (The Morgan Kaufmann Series in Multimedia Information and Systems)

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Thursday, July 4, 2013

%$$$ Save Statistical Analysis of Medical Data: New Developments


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Written at a level suitable for graduate students working in medical statistics, this collection highlights four areas of active research: survival analysis, longitudinal data analysis, Bayesian methods, and imaging. Each article has been commissioned from leaders in the fields, and the collection reflects the rapid growth and wide application of statistical methods in medicine. Equally valuable for students and researchers, the book provides a practical introduction to current methods.

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%$$$ Best Revews Data Monitoring Committees in Clinical Trials: A Practical Perspective (Statistics in Practice)


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There has been substantial growth in the use of data monitoring committees in recent years, by both government agencies and the pharmaceutical industry. This growth has been brought about by increasing recognition of the value of such committees in safeguarding trial participants as well as protecting trial integrity and the validity of conclusions. This very timely book describes the operation of data monitoring committees, and provides an authoritative guide to their establishment, purpose and responsibilities.
* Provides a practical overview of data monitoring in clinical trials.
* Describes the purpose, responsibilities and operation of data monitoring committees.
* Provides directly applicable advice for those managing and conducting clinical trials, and those serving on data monitoring committees.
* Gives insight into clinical data monitoring to those sitting on regulatory and ethical committees.
* Discusses issues pertinent to those working in clinical trials in both the US and Europe.
The practical guidance provided by this book will be of use to professionals working in and/or managing clinical trials, in academic, government and industry settings, particularly medical statisticians, clinicians, trial co-ordinators, and those working in regulatory affairs and bioethics.

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Saturday, June 29, 2013

+++ Medical Statistics: A Guide to Data Analysis and Critical Appraisal save


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Holistic approach to understanding medical statistics

This hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based clinical research.


Each chapter provides a clear step-by-step guide to each statistical test with practical instructions on how to generate and interpret the numbers, and present the results as scientific tables or graphs.


Showing you how to:


  • analyse data with the help of data set examples (Click here to download datasets)
  • select the correct statistics and report results for publication or presentation
  • understand and critically appraise results reported in the literature


Each statistical test is linked to the research question and the type of study design used. There are also checklists for critically appraising the literature and web links to useful internet sites.


Clear and concise explanations, combined with plenty of examples and tabulated explanations are based on the authors’ popular medical statistics courses. Critical appraisal guidelines at the end of each chapter help the reader evaluate the statistical data in their particular contexts.






+++ Revews Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver (International ... Research and Management Science, 51)


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This book introduces DEA as a multiple-measure performance evaluation and benchmarking tool. The focus of performance evaluation and benchmarking is shifted from characterizing performance in terms of single measures to evaluating performance as a multidimensional systems perspective. This book also provides easy-to-use DEA software - DEA Excel Solver. This DEA Excel Solver is an Add-In for Microsoft® Excel and provides a custom menu of DEA approaches, which include more than 150 different DEA models. It is an extremely powerful tool that can assist decision-makers in benchmarking and analyzing complex operational efficiency issues in manufacturing organizations as well as evaluating processes in banking, retail, franchising, health care, e-business, public services and many other industries. The DEA Excel Solver does not set limit on the number of units, inputs or outputs. With the capacity of Excel Solver, the DEA Excel Solver can deal with large sized performance evaluation tasks. For a free version of DEA Excel Solver, please visit www.deafrontier.com.

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Sunday, June 23, 2013

+++ Save Statistics and Data Analysis for Nursing Research (2nd Edition)


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The second edition of Statistics and Data Analysis for Nursing , uses a conversational style to teach students how to use statistical methods and procedures to analyze research findings. Readers are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so. Special focus is given to quantitative methods. Other features include management of data, how to "clean" data, and how to work around missing data. New to this edition are

updated research examples utilizinging examples from an international mix of studies published by nurse researchers in 2006-2009.  



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Saturday, June 22, 2013

Longitudinal Data Analysis (Wiley Series in Probability and Statistics) Shopping


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Longitudinal data analysis for biomedical and behavioral sciences

This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data.

Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include:
* Repeated measures analysis of variance
* Multivariate analysis of variance for repeated measures
* Random-effects regression models (RRM)
* Covariance-pattern models
* Generalized-estimating equations (GEE) models
* Generalizations of RRM and GEE for categorical outcomes

Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge.

This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.

Longitudinal Data Analysis (Wiley Series in Probability and Statistics)

Product Description : Longitudinal Data Analysis (Wiley Series in Probability and Statistics)

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Sunday, June 16, 2013

+++ Statistical First Aid : Interpretation of Medical Research Data reviews


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Hirsch and Riegelman have recognized the need for a text to explain, to a wide audience, statistical concepts rather than mathematics or terminology. They therefore expand on traditional mathematical methods by using graohics illustrating mathematical ideas, working through scores of examples from medical cases and literature, and employing non-technical terminology. Thus, they aim to provide the reader with an understanding of the terminology and mathematics without the rote learning that traditional methods require. The book presents the basic principles of statistics common to all methods of analysis and covers the logical processes used by statisticians to select statistical procedures for a particular set of data. Included is free software (STAT-PLUS) from the authors, and a free teacher's guide contains problems and answers, worked examples, flow charts and statistical tables.






Saturday, June 15, 2013

%$$$ Best Revews Fundamentals of Biostatistics (with Data Disk)


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Bernard Rosner's FUNDAMENTALS OF BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects. It prepares students for their future courses and careers by introducing the statistical methods most often used in medical literature. Rosner minimizes the amount of mathematical formulation (algebra-based) while still giving complete explanations of all the important concepts. As in previous editions, a major strength of this book is that every new concept is developed systematically through completely worked out examples from current medical research problems.






Friday, June 14, 2013

Buy Analysis of Multivariate Survival Data (Statistics for Biology and Health)



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Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariate times. As the field is rather new, the concepts and the possible types of data are described in detail. Four different approaches to the analysis of such data are presented from an applied point of view.Read more Analysis of Multivariate Survival Data (Statistics for Biology and Health)

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+++ Epidemiology: Study Design and Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)


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Building an up-to-date understanding of the methodologies that can be used to shape public health policies, Epidemiology: Study Design and Data Analysis, Second Edition encompasses the study of epidemiology from the observation of associations between risk factors and disease to the use of practical, data-supported analyses. It presents study designs commonly used for a wide range of purposes, and covers the spectrum of statistical principles and analytical tools used in epidemiological research, such as techniques used in report writing, descriptive analyses, statistical models and synthesis of evidence.

New Material in This Edition Includes:
  • Systematic evaluation
  • Meta-analysis
  • Regression dilution
  • Case-cohort studies
  • Case-crossover studies
  • Pooled logistic regression
  • Companion Web site containing data sets for examples and exercises, SAS and Stata code for examples, a sample size calculator, and a SAS floating absolute risk macro

    The second edition of a popular textbook, this book emphasizes quantitative and design aspects of epidemiological research. The author favors the use of basic mathematics and practical methods over complicated mathematical proofs, making this an ideal textbook that is comprehensive yet accessible to graduate students in epidemiology, statistics, public health studies, and/or medical research.


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    Thursday, June 13, 2013

    Making Sense of Qualitative Data: Complementary Research Strategies Shopping


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    Making Sense of Qualitative Data: Complementary Research Strategies


    Once a research project has been designed and the data have been gathered, what is the best way to transform this information into something useful? The authors of this practical volume highlight the range of approaches available to qualitative researchers by using a single data set which they analyze using a number of techniques. With special attention paid to the possibilities in computer-aided analysis, this book will be an invaluable resource for the relatively new qualitative researcher.

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    Saturday, June 8, 2013

    %$$$ Best Revews Clinical Data Mining and Warehousing, An Issue of Clinics in Laboratory Medicine, 1e (The Clinics: Internal Medicine)


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    Clinical laboratory data are among the most detailed, objective, reliable and useful measures of patient characteristics contained in the medical record. The Editor's intent in assembling this volume is to provide an introduction to standard techniques for managing and mining clinical data, and to illustrate these techniques with several applications related to laboratory medicine and associated research. The volume is divided into a foundations section, which provides a discussion of data mining techniques and tools, data warehousing and time series analysis, and an applications section that presents a set of projects comprising data.






    Monday, June 3, 2013

    ##### Revews Statistical Methods for the Analysis of Biomedical Data, 2nd Edition


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    The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.
    * Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand.






    Statistical Evidence in Medical Trials: Mountain or Molehill, What Do the Data Really Tell Us? Reviews


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    Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for health care professionals, students in medical or nursing schools, researchers and students in statistics, and anyone needing to assess the evidence published in medical journals.

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    Sunday, June 2, 2013

    Qualitative Data Analysis: An Expanded Sourcebook(2nd Edition) Reviews


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    The latest edition of this best-selling textbook by Miles and Huberman not only is considerably expanded in content, but is now available in paperback. Bringing the art of qualitative analysis up-to-date, this edition adds hundreds of new techniques, ideas and references developed in the past decade. The increase in the use of computers in qualitative analysis is also reflected in this volume. There is an extensive appendix on criteria to choose from among the currently available analysis packages. Through examples from a host of social science and professional disciplines, Qualitative Data Analysis remains the most comprehensive and complete treatment of this topic currently available to scholars and applied researchers.

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    Product Description : Qualitative Data Analysis: An Expanded Sourcebook(2nd Edition)

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