Average customer rating:
- I was forced to buy it.
- Start Here for Medical Statistics
- another fine statistics text for medical students
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An Introduction to Medical Statistics (Oxford Medical Publications)
Martin Bland
Manufacturer: Oxford University Press, USA
ProductGroup: Book
Binding: Paperback
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Practical Statistics for Medical Research (Statistics Texts)
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Statistical Questions in Evidence-Based Medicine
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Medical Statistics Made Easy
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Statistics in Medicine, Second Edition
ASIN: 0192632698 |
Book Description
Now in its Third Edition, An Introduction to Medical Statistics continues to be an invaluable textbook for medical students, doctors, medical researchers, nurses, members of professions allied to medicine as well as all those concerned with medical data. The material covered includes all the statistical work that would be required for a course in medicine and for the examinations of most of the Royal Colleges. It includes the design of clinical trials and epidemiological studies, data collection, summarizing and presenting data, probability, standard error, confidence intervals and significance tests, techniques of data analysis including multifactorial methods and the choice of statistical method, problems of medical measurement and diagnosis, vital statistics, and calculation of sample size. The new edition describes the design and analysis of medical research studies in a clear and user friendly manner. The Third Edition includes new topics such as consent in clinical trials, design and analysis of cluster-randomized trials, ecological studies, conditional probability, repeated testing, random effects models, intraclass correlation, and conditional odds ratios. Material which is encountered only at the postgraduate level has been indicated clearly in the text to facilitate ease of use. The book is firmly grounded in medical data, particularly in medical research, and includes real illustrative examples. There are 100 multiple choice questions and 17 long questions involving calculations to which fully explained solutions are provided. A new companion volume, Statistical questions in evidence-based medicine (Bland and Peacock, 2000) refers directly to this new edition. This new book of questions and answers includes no calculations and is complementary to the exercises given here. Reviewers comments 'If you want to understand some of the statistical ideas important to medicine but fear being overwhelmed by mathematics you will welcome An Introduction to Medical Statistics.' British Medical Journal 'At last I have a book on medical statistics that I can safely recommend to my students!...One of the pleasures of the book is that it contains real data...' Journal of the Royal Statistical Society
Customer Reviews:
I was forced to buy it........2005-10-26
It's an okay text but the author quotes himself a lot. I just wish all the tables and formulas were in a specific location and the symbols for the formulas defined each time a new one was presented.
Start Here for Medical Statistics.......2002-05-21
Clearly and logically set out starting with the reasons for medical statistics and how studies are designed and moving logically to the methods used. All practicing doctors need to know something about medical statistics. This is a very good place to start. It is written for non-mathematicians but has enough mathematics to justify the information presented and stimulate further interest. It is a relatively short book with clear logical explanations rather than flashy illustrations and computer graphics. Also provides exercises, essential in all mathematical subjects.
another fine statistics text for medical students.......2000-06-14
This is the second edition of an excellent introductory text for medical students similar to Doug Altman's. Bland covers the basics: designing clinical trials and epidemiological studies, data collection, summarizing data, basic probability, standard errors and confidence intervals along with tests of significance (both parametric and nonparametric). Various types of regression methods are covered and this edition adds Cox proportional hazards models and meta-analysis. Many exercises and examples are taken from Bland's 20 years of experience as a medical statistician. It is noteworthy for dealing with sample size issues in Chapter 18. Mortality statistics and life tables are covered in Chapter 16.
The book is not quite as advanced as Altman's.
Average customer rating:
- Readable book about statistics.
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An Introduction To Experimental Design And Statistics For Biology
David Heath
Manufacturer: CRC
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Experimental Design and Data Analysis for Biologists
ASIN: 1857281322 |
Book Description
This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by worked examples. The examples are drawn from all areas of biology, from biochemistry to ecology and from cell to animal biology. The book provides everything required in an introductory statistics course for biology undergraduates, and it is also useful for more specialized undergraduate courses in ecology, botany, and zoology.
Customer Reviews:
Readable book about statistics........2001-11-27
This book covers a dry subject in a way that hasn't put me to sleep. It uses practical examples more than just formulas to explain the ideas. It also deals with common problems with experimental design quite well.
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Statistics: A Biomedical Introduction (Wiley Series in Probability and Statistics)
Byron Wm. Brown , and
Myles Hollander
Manufacturer: Wiley-Interscience
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ASIN: 0471112402 |
Book Description
This book provides the basic methods of introductory statistics, focusing on real-life examples from medicine, public health, and the natural sciences. Probability, hypothesis testing, estimation, analysis of contingency tables, regression analysis, and analysis of variance are presented in a nonmathematical format and provide a basis for understanding statistics. This foundation is expanded to include such important topics in biomedical statistics as design and implementation of clinical trials, statistical evaluation of diagnostic tests, methods of randomization, and methods of analyzing survival data with incomplete observations.
Book Description
An essential introductory text linking traditional biostatistics with bayesian methods
In recent years, Bayesian methods have seen an explosion of interest, with applications in fields including biochemistry, ecology, medicine, oncology, pharmacology, and public health. As an interpretive system integrating data with observation, the Bayesian approach provides a nuanced yet mathematically rigorous means of conceptualizing biomedical statistics--from diagnostic tests to DNA evidence.
Biostatistics: A Bayesian Introduction offers a pioneering approach by presenting the foundations of biostatistics through the Bayesian lens. Using easily understood, classic Dutch Book thought experiments to derive subjective probability from a simple principle of rationality, the book connects statistical science with scientific reasoning. The author shows how to compute, interpret, and report Bayesian statistical analyses in practice, and illustrates how to reinterpret traditional statistical reporting--such as confidence intervals, margins of error, and one-sided p-values--in Bayesian terms. Topics covered include:
* Probability and subjective probability
* Distributions and descriptive statistics
* Continuous probability distributions
* Comparing rates and means
* Linear models and statistical adjustment
* Logistic regression and adjusted odds ratios
* Survival analysis
* Hierarchical models and meta-analysis
* Decision theory and sample size determination
The book includes extensive problem sets and references in each chapter, as well as complete instructions on computer analysis with the versatile SAS and WinBUGS software packages as well as the Excel spreadsheet program. For professionals and students, Biostatistics: A Bayesian Introduction offers an unique, real-world entry point into a remarkable alternative method of interpreting statistical data.
Book Description
Developing the statistical concepts unique to survival data, An Introduction to Survival Analysis Using Stata, Revised Edition includes statistical theory, step-by-step procedures for analyzing survival data, a detailed usage guide for Stata's most widely used st commands, and pointers for using Stata to analyze survival data and present the results. The first several chapters cover basic theoretical concepts as well as censoring and truncation. The next few chapters describe the formatting, manipulation, stsetting, and error-checking involved in preparing survival data for analysis using Stata's st analysis commands. The book also discusses Cox regression and includes various examples of fitting a Cox model, obtaining predictions, interpreting results, building models, and modeling diagnostics. The final chapters cover parametric models, which are fitted using Stata's streg command.
Average customer rating:
- Warning: Text contains many errors
|
Health and Numbers: A Problems-Based Introduction to Biostatistics
Chap T. Le
Manufacturer: Wiley-Liss
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ASIN: 0471416614 |
Book Description
Health & Numbers
A Problems-Based Introduction to Biostatistics
Second Edition
Chap T. Le, Ph.D.
Newly revised and updated, Health and Numbers, Second Edition serves as a concise introduction to basic statistical concepts and reasoning at a level suitable for a broad spectrum of students and professionals in medicine and allied health fields. This user-friendly resource uses real-life examples with real data to emphasize fundamental biostatistical concepts.
The book treats fundamental statistical methods with a practical, problems-based approach. It covers the nuts and bolts of elementary applied statistics for those who have no prior knowledge and experience in statistics. It provides an overview of basic ideas on standardization and rates and graphical techniques, offers more exercises than did the first edition, and features Microsoft® Excel and SAS samples, and new chapters on comparisons of means and proportions, as well as regression and correlation techniques. Health and Numbers, Second Edition strikes a balance between principles and methods of calculation that is particularly useful for students in medicine and health-related fields who are struggling with required courses in biostatistics.
Customer Reviews:
Warning: Text contains many errors.......2007-02-17
+ Note: This review was originally written for another book from this author, but touches on my experience with this text as well.
It is mind-boggling how one can have so many mistakes in a textbook like this. This book was required for our Biostatistics II class, and I am really displeased by all of the mistakes. What is the worst offense is that some of the answers for test questions are wrong. For example, the one way ANOVA problem 7.21 has the wrong F-statistic: the wrong answer. Others in the class have complained about this text as well. This is simply amazing to me, and leaves me not trusting much of the text in this book.
His other book "Health and Numbers" is just as terrible; the professor that used that book for class made a list of the mistakes they found, and us students in that class found many more along the way. I ran into another statistics book that takes all of the procedures step-by-step and really made it simple for me. This book, and his other are not recommended.
Average customer rating:
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Introduction to Biostatistics
Thomas Glover , and
Kevin Mitchell
Manufacturer: McGraw-Hill Science/Engineering/Math
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ASIN: 0072418419 |
Book Description
Introduction to Biostatistics is an accessible and complete introduction for students to the use of statistics in the biological sciences. Designed for sophomore- and junior-level biology, environmental science, biochemistry, and health science students who are taking an introductory statistics course, there are examples throughout the text taken from many areas in the life sciences, including genetics, physiology, ecology, agriculture, and medicine.This new text emphasizes the relationships among probability, probability distributions, and hypothesis testing. The authors have highlighted the expected value of various test statistics under the null and research hypotheses as a way to understand the methodology of hypothesis testing. In addition, they have incorporated nonparametric alternatives to many situations along with the standard parametric analysis.
Customer Reviews:
Excellent explanations.......2007-03-08
My biostats professor is one of the worst teachers I've ever had, so I basically have to teach myself the material. This book definitely explains the concepts wonderfully and provides a lot of examples to explain them even further. I don't mind studying out of it at all, and I normally hate math textbooks.
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Statistics and Experimental Design: An Introduction for Biologists and Biochemists
Geoffrey M. Clarke
Manufacturer: John Wiley & Sons Inc
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ASIN: 0470234091 |
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Introduction to Biometry
Pierre Jolicoeur
Manufacturer: Springer
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ASIN: 0306461633 |
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Statistical methods are becoming more important in all biological fields of study. Biometry deals with the application of mathematical techniques to the quantitative study of varying characteristics of organisms, populations, species, etc. This book uses examples based on genuine data carefully chosen by the author for their special biological significance. The chapters cover a broad spectrum of topics and bridge the gap between introductory biological statistics and advanced approaches such as multivariate techniques and nonlinear models. A set of statistical tables most frequently used in biometry completes the book.
Average customer rating:
- Introduction to Biostatistics
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Introduction to Biostatistics (Biology-Statistics Series)
Robert R. Sokal , and
F. James Rohlf
Manufacturer: W.H. Freeman & Company
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Binding: Hardcover
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ASIN: 0716718057 |
Customer Reviews:
Introduction to Biostatistics.......2000-06-06
One of the best texts I've come across on the subject. Lucid, clearly set out with plenty of worked examples. Not too rigorous for the beginner, yet contains enough mathematical detail for the basic concepts to be understood. Examples, problems and worked examples are highly relevant to real problems in biological data analysis.
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