Showing posts with label Variables. Show all posts
Showing posts with label Variables. Show all posts
Friday, March 16, 2012

Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

Analyzing the Large Number of Variables in Biomedical and Satellite Imagery



Author: Phillip I. Good
Edition: 1
Publisher: Wiley
Binding: Paperback
ISBN: 0470927143



Analyzing the Large Number of Variables in Biomedical and Satellite Imagery


This book grew out of an online interactive offered through statcourse. Medical books Analyzing the Large Number of Variables in Biomedical and Satellite Imagery. om, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling methods—the bootstrap, decision trees, and permutation tests, before the specialized methods applicable to large arrays could be introduced. As the intended audience for this book consists both of statisticians and of medical and biological research workers as well as all those research workers who make use of satellite imagery including agronomists and meteorologists, the book provides a step-by-step approach to not only the specialized methods needed to analyze the data from microarrays and images, but also to the resampling methods, step-down multi-comparison procedures, multivariate analysis, as well as data collection and pre-processing Medical books Analyzing the Large Number of Variables in Biomedical and Satellite Imagery. "This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling methods—the bootstrap, decision trees, and permutation tests, before the specialized methods applicable to large arrays could be introduced. As the intended audience for this book consists both of statisticians and of medical and biological research workers as well as all those research workers who make use of satellite imagery including agronomists and meteorologists, the book provides a step-by-step approach to not only the specialized methods needed to analyze the data from microarrays and images, but also to the resampling methods, step-down multi-comparison procedures, multivariate analysis, as well as data collection and pre-processing. While many alternate techniques for analysis have been introduced in the past decade, the author has selected only those techniques for which software is available along with a list of the available links from which the software may be purchased or downloaded without charge. Topical coverage includes: very large arrays; permutation tests; applying permutation tests; gathering and preparing data for analysis; multiple tests; bootstrap; applying the bootstrap; classification methods; decision trees; and applying decision trees.File Size: 1624 KBPrint Length: 200 pagesPublisher: Wiley; 1 edition (May 12, 2011) Sold by: Amazon Digital Services, Inc.Language: EnglishASIN: B0051BKXIM"

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Download link for Analyzing the Large Number of Variables in Biomedical and Satellite Imagery

"This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling me

"This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling me

"This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling me

"This book grew out of an online interactive offered through statcourse.com, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling me



Medical Book Analyzing the Large Number of Variables in Biomedical and Satellite Imagery



om, and it soon became apparent to the author that the course was too limited in terms of time and length in light of the broad backgrounds of the enrolled students. The statisticians who took the course needed to be brought up to speed both on the biological context as well as on the specialized statistical methods needed to handle large arrays. Biologists and physicians, even though fully knowledgeable concerning the procedures used to generate microaarrays, EEGs, or MRIs, needed a full introduction to the resampling methods—the bootstrap, decision trees, and permutation tests, before the specialized methods applicable to large arrays could be introduced. As the intended audience for this book consists both of statisticians and of medical and biological research workers as well as all those research workers who make use of satellite imagery including agronomists and meteorologists, the book provides a step-by-step approach to not only the specialized methods needed to analyze the data from microarrays and images, but also to the resampling methods, step-down multi-comparison procedures, multivariate analysis, as well as data collection and pre-processing. While many alternate techniques for analysis have been introduced in the past decade, the author has selected only those techniques for which software is available along with a list of the available links from which the software may be purchased or downloaded without charge. Topical coverage includes: very large arrays; permutation tests; applying permutation tests; gathering and preparing data for analysis; multiple tests; bootstrap; applying the bootstrap; classification methods; decision trees; and applying decision trees.

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Tuesday, March 13, 2012

Analysing cycles in biology & medicine-a practical introduction to circular variables & periodic regression

Analysing cycles in biology & medicine-a practical introduction to circular variables & periodic regression



Author: Kim N.I. Bell
Edition:
Publisher: Razorbill Press
Binding: Paperback
ISBN: 0973620927



Analysing cycles in biology & medicine-a practical introduction to circular variables & periodic regression


This book makes periodic regression readily accessible. Medical books Analysing cycles in biology & medicine-a practical introduction to circular variables & periodic regression.  It provides worked-out examples, and text that describes why each step is taken (and what steps to not take).  Periodic regression is suited to situations where a Y variable is measured over (around) a cycle, e.g. "air temperature over the course of a day, or year";  this is sometimes called the "cylindrical" situation---think of a 24h clock, lying flat, and temperatures marked on bars at times around its circumference Medical books Analysing Cycles in Biology & Medicine-A Practical Introduction to Circular Variables & Periodic Regression. Softcover book, 184 pages. Published by Razorbill Press (2008)

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Download link for Analysing Cycles In Biology And Medicine: A Practical Introduction To Circular Variables And Periodic Regression

Softcover book, 184 pages. Published by Razorbill Press (2008)

Contributors: Kim NI Bell - Author. Format: Paperback

Contributors: Kim NI Bell - Author. Format: Paperback

Razorbill Press 9780973620924 Analysing Cycles in Biology Medicine-A Practical Introduction to Circular Variables Periodic Regression Description TITLE: ANALYSING CYCLES-in biology medicine. A practical introduction to circular variables and periodic regression. With stats refresher. MOTIVATION: Cycles surround us. Indeed, they are the essence of life, and critically important in biology and medicine. We need to know how to analyse and understand them. But, too often, researchers are given poor



Medical Book Analysing cycles in biology & medicine-a practical introduction to circular variables & periodic regression



 It provides worked-out examples, and text that describes why each step is taken (and what steps to not take).  Periodic regression is suited to situations where a Y variable is measured over (around) a cycle, e.g. "air temperature over the course of a day, or year";  this is sometimes called the "cylindrical" situation---think of a 24h clock, lying flat, and temperatures marked on bars at times around its circumference. 
   The uses or periodic regression are not restricted to only those situations where one had a direct interest in the cycles.  Even if the interest is the effect of A and B on Y,  if a third variable C also affects Y then any analysis obtains improved accuracy for A and B when C is included.  Likewise, cycles can affect many measures, so their inclusion improves the analysis for the effects of the variables of main interest.  This would apply to many examples of ecological, biological, and medical research.
   Written in a welcoming style, written to be accessible --- for instance Sec. 11.1.2 "The very basics (stats in the wild west)" --- the book anticipates readers ranging from apprehensive to advanced. Most tricky concepts are explained more than one way.  It is copiously illustrated with conceptual diagrams and worked-out examples.  
   If you are an advanced reader you may wish to go straight to Ch. 6, the chapter on periodic regression itself, referring to the cross-referenced sections as needed.
   Resource chapters provide the basic geometry, key tools for circular stats, the handling of dates and natural cycles, and a simple notation system to make formulas and calculations more readable.  There is an index, a glossary, and a Day-of-Year table.  
   Some special tools and topics are addressed.  Sec. 6.4.5 shows how to calculate the joint significance of one or more variables in a regression; this is needed because each cycle will always be expressed by two variables.  Sec. 6.4.6 addresses some cautions and uses simulation to illuminate the issue of non-orthogonality in data with uneven spacing or missing or replicated values, as is liable to happen in field work or any system where logistics interfere with the plan; the simulations show that the effect on inference is, at least, surprisingly small.  Sec. 10.2.1. provides the text for some core macros that can simplify and add reliability to data conversion and calculation (e.g.) of the phase angle implied by any pair of sine and cosine.  And if you think sines and cosines are material for headaches, Figure 3-1 is better than an aspirin.  
   Even where the topics are somewhat advanced, the book attempts to maintain accessibility.  It is written to help people enjoy statistics, and use and judge them well.


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