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STATISTICS
Basic Statistics and Pharmaceutical Statistical Applications
Author: James E. De Muth
Publisher: CRC
Publication Date: 1999-06-18
Number Of Pages: 624
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Principles of Medical Statistics 2002
Book Description
The first book on the market to encourage readers to think about data and statistical procedures, rather than just learn "cook book" recipes. During the course of a career clinicians and biomedical researchers are constantly confronted with statistical reports, which require them to make a decision that may affect patient care or the investigation/appraisal of data. The author of this volume provides the reader with the awareness, that they have a substantial education in biomedical phenomena, which will help them obtain, organize, and evaluate statistical data so they can make more intelligent informed decisions. Designed for use as a textbook and reference, the author of the book provides a very thorough up to date treatment of the topic as opposed to the usual superficial coverage found in many other books on this subject.
Book Info
(Chapman & Hall/CRC) Yale Univ., New Haven, CT. Highlights ways of reporting and evaluating 'quantitative importance' rather than 'statistical significance.' Emphasizes the difference between correlation and agreement, includes new forms of data display, and explores newer analytic techniques such as the Fisher exact test, bootstrap, and jackknife. DNLM: Statistics--method
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Advances in Clinical Trial Biostatistics (Biostatistics)
Book Description
From aspects of early trials to complex modeling problems, Advances in Clinical Trial Biostatistics summarizes current methodologies used in the design and analysis of clinical trials. Its chapters, contributed by internationally renowned methodologists experienced in clinical trials, address topics that include Bayesian methods for phase I clinical trials, adaptive two-stage clinical trials, and the design and analysis of cluster randomization trials, trials with multiple endpoints, and therapeutic equivalence trials. Other discussions explore Bayesian reporting, methods incorporating compliance in treatment evaluation, and statistical issues emerging from clinical trials in HIV infection. 
This is a very good advanced level text of Biostatistics for all those who are practically involved in Clinical Research like Randomized Clinical Trials and helps in understanding advanced Clinical statistical concepts in backdrop of such scenarios.
Link:
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Biostatistical Methods in Epidemiology
by Stephen C. Newman,
An introduction to classical biostatistical methods in epidemiology
Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for using odds ratio methods in case-control studies is provided. Standardization of rates is discussed and the construction of ordinary, multiple decrement and cause-deleted life tables is outlined. Sample size formulas are given for a range of epidemiologic study designs. The text ends with a brief overview of logistic and Cox regression. Other highlights include:
* Many worked examples based on actual data
* Discussion of exact methods
* Recommendations for preferred methods
* Extensive appendices and references
Biostatistical Methods in Epidemiology provides an excellent introduction to the subject for students, while also serving as a comprehensive reference for epidemiologists and other health professionals.
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Size: 1.87 Mb Pages: 388 Format: PDF
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Common Errors in Statistics: (and How to Avoid Them)
Phillip I. Good, James W. Hardin
240 pages
Wiley-Interscience
A guide to choosing and using the right techniques
High-speed computers and prepackaged statistical routines would seem to take much of the guesswork out of statistical analysis and lend its applications readily accessible to all. Yet, as Phillip Good and James Hardin persuasively argue, statistical software no more makes one a statistician than a scalpel makes one a surgeon. Choosing the proper technique and understanding the analytical context is of paramount importance to the proper application of statistics. The highly readable Common Errors in Statistics (and How to Avoid Them) provides both newly minted academics and professionals who use statistics in their work with a handy field guide to statistical problems and solutions.

Good and Hardin begin their handbook by establishing a mathematically rigorous but readily accessible foundation for statistical procedures. They focus on debunking popular myths, analyzing common mistakes, and instructing readers on how to choose the appropriate statistical technique to address their specific task. A handy checklist is provided to summarize the necessary steps.
Common Errors in Statistics (and How to Avoid Them) also contains reprints of classic articles from statistical literature to re-examine such bedrock subjects as linear regression, the analysis of variance, maximum likelihood, meta-analysis, and the bootstrap. With a final emphasis on finding solutions and on the great value of statistics when applied in the proper context, this book will prove eminently useful to students and professionals in the fields of research, industry, medicine, and government.
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Medical Statistics at a Glance
Biostatistics - The Bare Essentials
(Both books in one zip file)
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Introductory Biostatistics
John Wiley & Sons 2003
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Biostatistics - Methods for health science
John Wiley & Sons
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Statistics in Plain English
Lawrence Erlbaum Associates
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Meta-Analysis of Controlled Clinical Trials
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Methods of Multivariate Analysis
Publisher: Wiley-Interscience
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Categorical Data Analysis
John Wiley & Sons
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Statistics for Research, Third Edition
John Wiley & Sons 2004
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Analysis of Survey Data
John Wiley & Sons 2003
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Quantitative Methods in Population Health: Extensions of Ordinary Regression
John Wiley & Sons 2003
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Introduction to Survey Quality
John Wiley & Sons 2003
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Practical Methods for Design and Analysis of Complex Surveys, Second Edition
john Wiley & Sons 2003
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Design and Analysis of Cross-Over Trials, Second Edition
Author: Byron Jones
Publisher: Chapman & Hall/CRC
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Methods of Multivariate Analysis
Publisher: Wiley-Interscience
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Recent Advances in Applied Probability
Springer 2005
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Textbook of Clinical Trials
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SPSS for Beginners
VJ Inc Books 1999
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Spss for Introductory Statistics: Use and Interpretation
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Scientific Writing: Easy When You Know How
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Statistics at Square One
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Statistics at Square Two
Understanding Modern Statistical Applications in Medicine
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How to Read a Paper: the Basics of Evidence Based Medicine
Trisha Greenhalgh
BMJ Publishing Group; 2001
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How to Write a Paper
Bmj Publishing Group; 2nd edition
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The A-Z of Medical Writing
BMJ Publishing Group, 2000
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How to Present at Meetings
Author: George Hall
Publisher: Bmj Publishing Group
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2001_.pdf.html


Biostatistics - The Bare Essentials
by Geoffrey R. Norman, David L. Streiner
B.C. Decker Inc. 1998
ISBN 1550090852
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Advances in Clinical Trial Biostatistics (Biostatistics)
This is a very good advanced level text of Biostatistics for all those who are practically involved in Clinical Research like Randomized Clinical Trials and helps in understanding advanced Clinical statistical concepts in backdrop of such scenarios.
http://rapidshare.de/files/20886514/Advances.pdf.html



Biostatistics : A Methodology For the Health Sciences" (Wiley Series in Probability and Statistics) written by Gerald van Belle Patrick J. Heagerty Lloyd D. Fisher and Thomas S. Lumley
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Bayesian Approaches to Clinical Trials and Health-Care Evaluation (Statistics in Practice)
ISBN: 0471499757
Author: David J. Spiegelhalter Keith R. Abrams Jonathan P. Myles
Publisher: John Wiley & Sons
Publication Date: 2004-01-26
Number Of Pages: 406
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Bayesian Statistics: An Introduction
(Arnold Publication)
by Peter M. Lee "
Provost, Wentworth College, University of York
Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's classic introduction maintains the clarity of exposition and use of examples for which the text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS, as this is now the... More standard computational tool for such numerical work. Other alterations include new material on generalized linear modeling and Bernardo's theory of reference points.
Bayesian.Statistics.rar.html
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Primer of Biostatistics
Extremely popular, this student-friendly text presents the practical areas of statistics in terms of their relevance to medicine and the life sciences. Includes many illustrative examples and challenging problems that reinforce the author's unique and intuitive approach to the subject. The new edition features a new two-color design, examples taken from current biomedical literature, and review questions within each chapter.
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Sample Size Determination in Health Studies
ISBN: 9241544058
Author: Stephen K. Lwanga S. Lemeshow
Publisher: World Health Organization
Publication Date: 1991-02
Number Of Pages: 80
http://libdoc.who.int/publications/9241544058_(p1-p22).pdf
http://libdoc.who.int/publications/9241544058_(p23-p80).pdf




Handbook of Statistics in Clinical Oncology
Chapman & Hall/CRC
ISBN: 0824723392
640pages
Book Description
A compendium of cutting-edge statistical approaches to solving problems in clinical oncology, this book focuses on clinical trials in phases I, II, and III, proteomic and genomic studies, complementary outcomes and exploratory methods. Cancer Forum called the first edition a "good reference book for statisticians who will be designing and analyzing cancer trials." The second edition includes over 1000 references, more than forty world-renowned contributors, and 300 equations, tables, and drawings. Completely revised while keeping the features that made the first edition a bestseller, this is the best single source for up-to-date statistical approaches to research in clinical medicine.
Features:
Provides a comprehensive discussion of sample size
Explores analytical problems generated by controlling treatment costs and maintaining quality of life
Demonstrates the breadth and depth of current activity in the field of survival analysis
Includes recommendations and pointers for free software that allows you to implement programs
Sets the limits on what can and cannot be concluded from single and multiple clinical trials
size: 17.42 MB
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Statistics for Dummies
3.42 Mb | 360 Pages
Statistics For Dummies is for everyone who wants to sort through and evaluate the incredible amount of statistical information that comes to them on a daily basis. (You know the stuff: charts, graphs, tables, as well as headlines that talk about the results of the latest poll, survey, experiment, or other scientific study.) This book arms you with the ability to decipher and make
important decisions about statistical results, being ever aware of the ways in which people can mislead you with statistics. Get the inside scoop on number-crunching nuances, plus insight into how you can.
Determine the odds:
• Calculate a standard score
• Find the margin of error
• Recognize the impact of polls
• Establish criteria for a good survey
• Make informed decisions about experiments
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Copyright 2005. All rights reservedContact the author  ahmedhakim_227@yahoo.com