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Introduction to Mathematics for Life Scientists (Biomathematics, Vol. 2) 2 reviews Edward Batschelet
Springer, 1972
Absolutely Fantastic
+ A Work of Art!
I purchaised this book while I was doing my Ph.D. I am happy that I now have a chance to write about it. Few books on mathematics are so enjoyable to read as this one. It explains concepts with amazing clarity. It guides you through all the necessary mathematics and will infact motivate you to ...
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Biostatistics: The Bare Essentials, Second Edition (Biostatistics: The Bare Essentials) 13 reviews Geoffrey R. Norman, David L. Streiner
pmph usa, 2000
The best biostatistics review ever!
+ Biostat Book Review + Easy to read yet detailed enough for exam! + A guilty pleasure + Best intro stat book I've found
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Statistics in Small Doses 1 review Win M. Castle, P. M. North
Churchill Livingstone, 1997
Best book for refreshing rudimentary knowledge
This book is a MUST for people who thought they had understood statistics, but need to refresh their knowledge. It is structured as questions and answers throughout, and is easy to comprehend. I use it as the recommended book for all my "statistics for beginners" classes around the world.
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An Introduction To Experimental Design And Statistics For Biology 1 review David Heath
CRC Press, 1995
Readable book about statistics.
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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Chance in Biology 2 reviews Mark Denny, Steven Gaines
Princeton University Press, 2000
Math Applied to Biology
+ Biology illuminated by physics
*Chance in Biology* is one of the best science books I have ever read (and I have read quite a few of them). This book applies probability theory (along with other topics in math and physics) to biological phenomena. A big PLUS for this book is that the authors intentionally wrote the book to be ...
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A Review of Biostatistics: A Programme for Self-instruction Paul E. Leaverton
Lippincott Williams and Wilkins, 1991
University of South Florida, Tampa. New edition of a programmed text for statistics students, emphasizing description and interpretation of common methods. Wire spiral binding. Previous edition 1991. DNLM: Biometry - programmed instruction.
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Easy Mathematics for Biologists 1 review Peter C. Foster
CRC Press, 1999
A reader from Baltimore, MD
Well written guide to the basics such as concentrations, dilutions, logs etc. with lots of useful worked examples. The only problem is the book is a bit too basic for all mathematic needs during a biological degree.
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Biostatistical Methods (Methods in Molecular Biology) 1 review
Humana Press, 2001
Terrible and derivative work written with contributions of a pedophile
The only things worthwhile in the whole book were it's references and citing of other original sources. Searching for info on the author's and contributers shows the hand of Emmanuel Lazardis a wanted fugitive for international child abduction and an outspoken advocate of the "love" a father can ...
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Statistical Research Methods in the Life Sciences 1 review P. V. Rao
Duxbury Press, 1997
Great place to start for applied stats
This book covers introductory (grad or advanced undergrad) material for applied statisics. See the TOC. It ranges from data exploration, t-tests, nonparametric tests, to factorial designs and mixed models. The book is clearly written, and SAS code is available (in the companion test) to carry out ...
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Statistics & Experimental Design: An Introduction for Biologists & Biochemists Geoffrey M Clarke
Wiley, 1994
Many gross errors in applying statistical methods arise through not knowing when they work, or when the results are a nonsense, and through using methods that are not entirely appropriate to the problems being analysed. The most effective way of learning to use and appreciate statistical methods is through an applied approach. Clarke's popular textbook provides a non-mathematical account of all ...
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Biometrical Interpretation: Making Sense of Statistics in Biology (Oxford science publications) Neil Gilbert
Oxford University Press, USA, 1989
This an updated version of a book which is revered for its direct, clear approach. It is aimed at students taking their first course in biological statistics and for biologists handling data mathematically. There are many elementary statistical textbooks but this book is unique in its concern with underlying ideas, with how to choose the right method for the right question, and with how to avoid ...
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Life's Other Secret: The New Mathematics of the Living World 7 reviews Ian Stewart
John Wiley & Sons Inc, 1997
DNA may not be the last word
+ Math Rules + Mathematics, Patterns & Biology + Lots of interesting ideas about how Life works
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Choosing and Using Statistics 6 reviews Calvin Dytham
Wiley, 1999
The most practical statistics book I have ever used.
+ Relief for those who don't speak in equations
The author provides very clear and easy to follow explanations of the type of tests used and when they should be used. Furthermore, he provides step by step instructions for using the tests in SPSS, minitab, and excel, something that few other books do.
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Introductory Biological Statistics 2 reviews Raymond E. Hampton
William C. Brown, 1993
Great Stats Intro!
+ Excellent text book for the beginner...
If you're new to stats, or just keep forgetting the definition of chi squared, this is the book for you. Easy to read, good worked examples - both parametric and non-parametric (the autor will tell you what those are if you don't already know). I use to borrow my roommates - now I'm buying my own ...
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Biological Data Analysis: A Practical Approach
Oxford University Press, USA, 1993
Many biologists remain unfamiliar with statistical analysis and modelling, yet need to apply these techniques increasingly in their research. This volume describes how to analyze biological data, with commonly available software packages, without making errors which can invalidate results. Practical guidance is provided for planning the correct strategy for a variety of different statistical ...
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Randomization and Monte Carlo Method (Chapman & Hall Texts in Statistical Science) 1 review Bryan F.J. Manly
Chapman & Hall/CRC, 1990
Good alternative to Manly's book on Randomization, Bootstrap and Monte carlo methods
This book was originally purchased to get a better understanding of Monte Carlo techniques used in biological data analyses. I compared it to Manly's more expensive book: Randomization, Bootstrap and Monte Carlo Methods in Biology, and found this edition provided most of the same information, ...
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Modeling Differential Equations in Biology Clifford Henry Taubes
Prentice Hall, 2000
This book focuses on the differential equations and related subjects that are commonly used today by working life scientists. It emphasizes both the mathematics and how the mathematics is employed in order to introduce some potentially useful tools and modes of thought to future experimental biologists. Chapter topics include phase plane analysis, vectors, linear and non-linear systems, ...
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Mathematical Biology: I. An Introduction (Interdisciplinary Applied Mathematics) (Pt. 1) 7 reviews James D. Murray
Springer, 2007
Excellent book on the subject
+ Murray prevew + An excellent biomathematics book with practical applications and exercises + Mathematical Biology I + Very interesting, worth your money
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Randomization, Bootstrap and Monte Carlo Methods in Biology, Second Edition 4 reviews Bryan F.J. Manly
Chapman & Hall, 1997
added the bootstrap to permutation tests
+ much more bootstrap in this edition + A must for EVERY biologist
Manly is an excellent writer who has written several excellent texts and is an editor of a biostatistics journal. This is a revision of a very popular text on randomization or permutation methods. Because of the immense popularity of bootstrap methods (a similar resampling procedure), he elected to ...
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Essential Mathematical Biology 2 reviews Nicholas F. Britton
Springer, 2003
The passion for the description needs
+ Good
In a world in which the precision of the knowledge is fundamental the alive beings' description and their relationships raisin the necessary being mathematically.
However a lack of titles that you/they can take this Mathematics to the professionals of the biological field exists.
The title of ...
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