Showing posts with label Statistical. Show all posts
Showing posts with label Statistical. Show all posts
Wednesday, June 1, 2011

Statistical Methods in Diagnostic Medicine

Statistical Methods in Diagnostic Medicine



Author: Xiao-Hua Zhou
Edition: 2
Publisher: Wiley
Binding: Hardcover
ISBN: 0470183144



Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics)


Praise for the First Edition

" . Medical books Statistical Methods in Diagnostic Medicine . . . the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."—Zentralblatt MATH

A new edition of the cutting-edge guide to diagnostic tests in medical research

In recent years, a considerable amount of research has focused on evolving methods for designing and analyzing diagnostic accuracy studies Medical books Statistical Methods In Diagnostic Medicine (Wiley Series In... Ebook. Buy Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics #569) by Xiao-Hua Zhou and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!

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Download link for Statistical Methods In Diagnostic Medicine, Second Edit

Buy Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics #569) by Xiao-Hua Zhou and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!

Statistical Methods in Diagnostic Medicine (Wiley Series in Probability and Statistics), ISBN-13: 9780470183144, ISBN-10: 0470183144

An important role of diagnostic medicine research is to estimate and compare the accuracies of diagnostic tests. This book provides a comprehensive account of statistical methods for design and analysis of diagnostic studies, including sample size calculations, estimation of the accuracy of a diagnostic test, comparison of accuracies of competing diagnostic tests, and regression analysis of diagnostic accuracy data. Discussing recently developed methods for correction of verification bias and imperfect reference bias, methods for analysis of clustered diagnostic accuracy data, and meta-analysi

An important role of diagnostic medicine research is to estimate and compare the accuracies of diagnostic tests. This book provides a comprehensive account of statistical methods for design and analysis of diagnostic studies, including sample size calculations, estimation of the accuracy of a diagnostic test, comparison of accuracies of competing diagnostic tests, and regression analysis of diagnostic accuracy data. Discussing recently developed methods for correction of verification bias and imperfect reference bias, methods for analysis of clustered diagnostic accuracy data, and meta-analysi



Medical Book Statistical Methods in Diagnostic Medicine



. . the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."—Zentralblatt MATH

A new edition of the cutting-edge guide to diagnostic tests in medical research

In recent years, a considerable amount of research has focused on evolving methods for designing and analyzing diagnostic accuracy studies. Statistical Methods in Diagnostic Medicine, Second Edition continues to provide a comprehensive approach to the topic, guiding readers through the necessary practices for understanding these studies and generalizing the results to patient populations.

Following a basic introduction to measuring test accuracy and study design, the authors successfully define various measures of diagnostic accuracy, describe strategies for designing diagnostic accuracy studies, and present key statistical methods for estimating and comparing test accuracy. Topics new to the Second Edition include:

  • Methods for tests designed to detect and locate lesions

  • Recommendations for covariate-adjustment

  • Methods for estimating and comparing predictive values and sample size calculations

  • Correcting techniques for verification and imperfect standard biases

  • Sample size calculation for multiple reader studies when pilot data are available

  • Updated meta-analysis methods, now incorporating random effects

Three case studies thoroughly showcase some of the questions and statistical issues that arise in diagnostic medicine, with all associated data provided in detailed appendices. A related web site features Fortran, SAS®, and R software packages so that readers can conduct their own analyses.

Statistical Methods in Diagnostic Medicine, Second Edition is an excellent supplement for biostatistics courses at the graduate level. It also serves as a valuable reference for clinicians and researchers working in the fields of medicine, epidemiology, and biostatistics.



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Monday, May 16, 2011

Applied Statistical Genetics with R Epub

Applied Statistical Genetics with R



Author: Andrea S. Foulkes
Edition: 2009
Publisher: Springer
Binding: Kindle Edition
ISBN: B003XQF3B4



Applied Statistical Genetics with R: For Population-based Association Studies (Use R!)


The vast array of molecular level information now available presents exciting opportunities to characterize the genetic underpinnings of complex diseases while discovering novel biological pathways to disease progression. Medical books Applied Statistical Genetics with R. In this introductory graduate level text, Dr. Foulkes elucidates core concepts that undergird the wide range of analytic techniques and software tools for the analysis of data derived from population-based genetic investigations. Applied Statistical Genetics with R offers a clear and cogent presentation of several fundamental statistical approaches that researchers from multiple disciplines, including medicine, public health, epidemiology, statistics and computer science, will find useful in exploring this emerging field. Couched in the language of biostatistics, this text can be easily adopted for public health and medical school curricula Medical books Applied Statistical Genetics with R. Statistical genetics has become a core course in many graduate programs in public health and medicine. Applied Statistical Genetics with R presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics.Extensive examples are provided using publicly available data and the open source, statistical computing environment, R. isbn13: 9780387895536

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Statistical genetics has become a core course in many graduate programs in public health and medicine. Applied Statistical Genetics with R presents fundamental concepts and principles in this emerging field at a level that is accessible to students and researchers with a first course in biostatistics.Extensive examples are provided using publicly available data and the open source, statistical computing environment, R. isbn13: 9780387895536

[ Ships Daily ] Condition: Good[ Underlining/Highlighting: NONE ] [ Writing: NONE ] Applied Statistical Genetics with R: For Population-based Association Studies (Use R) By Andrea S. Foulkes ISBN: 0387895531 Edition:first Publisher: Springer Pub Date: 4/17/2009 Binding: Paperback Pages: 272

author andrea s foulkes format paperback language english publication year 06 05 2009 series use r subject mathematics sciences subject 2 life sciences general title applied statistical genetics with r for population based association studies use r author andrea s foulkes publisher springer publication date may 01 2009 pages 272 binding paperback edition 1 st dimensions 6 00 wx 9 00 hx 0 75 d isbn 0387895531 subject science life sciences general description the vast array of molecular level in

Applied Statistical Genetics with R: For Population-Based Association Studies by Foulkes, Andrea S. [Paperback]



Medical Book Applied Statistical Genetics with R



In this introductory graduate level text, Dr. Foulkes elucidates core concepts that undergird the wide range of analytic techniques and software tools for the analysis of data derived from population-based genetic investigations. Applied Statistical Genetics with R offers a clear and cogent presentation of several fundamental statistical approaches that researchers from multiple disciplines, including medicine, public health, epidemiology, statistics and computer science, will find useful in exploring this emerging field. Couched in the language of biostatistics, this text can be easily adopted for public health and medical school curricula.

The text covers key genetic data concepts and statistical principles to provide the reader with a strong foundation in methods for candidate gene and genome-wide association studies. These include methods for unobservable haplotypic phase, multiple testing adjustments, and high-dimensional data analysis. Emphasis is on analysis of data arising from studies of unrelated individuals and the potential interplay among genetic factors and more traditional, epidemiological risk factors for disease. While theoretically rigorous, the analytic techniques are presented at a level that will appeal to researchers and students with limited knowledge of statistical genetics. The text assumes the reader has completed a first course in biostatistics, uses publicly available data sets for illustration, and provides extensive examples using the open source, publicly available statistical software environment R. 



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Saturday, May 7, 2011

Statistical Methods for Anaesthesia and Intensive Care, 1e Epub

Statistical Methods for Anaesthesia and Intensive Care, 1e



Author: Paul Myles MB BS MPH MD FCARCSI FANZCA
Edition: 1
Publisher: Butterworth-Heinemann
Binding: Paperback
ISBN: 0750640650



Statistical Methods for Anaesthesia and Intensive Care, 1e


Statistics is traditionally perceived to be a difficult topic, however, it is essential for the trainee to develop a basic understanding of its fundamental principles. Medical books Statistical Methods for Anaesthesia and Intensive Care, 1e. Medical books Statistical Methods For Anaesthesia And Intensive Care. New Paperback.

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New Paperback.

Butterworth-Heinemann. PAPERBACK. 0750640650 Expedited shipping NOT available. Brand New. Exceptional customer service. Standard shipping is ground. All deliveries in 4-14 business days. . New.



author paul myles author tony gin format paperback language english publication year 27 09 2000 subject medicine subject 2 clinical medicine professional title statistical methods for anaesthesia and intensive care author myles paul s gin tony publisher butterworth heinemann medical publication date oct 01 2000 pages 152 binding paperback edition 1 st dimensions 6 25 wx 10 00 hx 0 50 d isbn 0750640650 subject medical anesthesiology description reviews the fundamental principals of statistics t



Medical Book Statistical Methods for Anaesthesia and Intensive Care, 1e



This book is designed to help the reader systematically learn the basics, using real examples from anaesthetic and intensive care literature to illustrate the principles discussed and relate them to practice.

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Tuesday, May 3, 2011

Statistical Methods in Epidemiology

Statistical Methods in Epidemiology



Author: Harold A. Kahn
Edition:
Publisher: Oxford University Press, USA
Binding: Paperback
ISBN: 0195050495



Statistical Methods in Epidemiology (Monographs in Epidemiology & Biostatistics)


This book is an expanded version of the Kahn's widely used text, An Introduction to Epidemiologic Methods (Oxford, 1983). Medical books Statistical Methods in Epidemiology . It provides clear insight into the basic statistical tools used in epidemiology and is written so that those without advanced statistical training can comprehend the ideas underlying the analytical techniques. The authors emphasize the extent to which similar results are obtained from different methods, both simple and complex. To this edition they have added a new chapter on "Comparison of Numerical Results for Various Methods of Adjustment" and also one on "The Primacy of Data Collection." New topics include the Kaplan-Meier product-limit method and the Cox proportional hazards model for analysis of time-related outcomes Medical books Statistical Methods in Epidemiology. Categories: Epidemiology->Statistical methods, Epidemiologic methods. Contributors: Harold A. Kahn - Author. Format: Paperback

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Categories: Epidemiology->Statistical methods, Epidemiologic methods. Contributors: Harold A. Kahn - Author. Format: Paperback

Categories: Epidemiology->Statistical methods, Epidemiologic methods. Contributors: Harold A. Kahn - Author. Format: Paperback

Statistical Methods in Epidemiology by Kahn, Harold A./ Sempos, Christopher T. [Paperback]

Oxford University Press, USA 9780195050493 Statistical Methods in Epidemiology Description This book is an expanded version of the Kahns widely used text, An Introduction to Epidemiologic Methods (Oxford, 1983). It provides clear insight into the basic statistical tools used in epidemiology and is written so that those without advanced statistical training can comprehend the ideas underlying the analytical techniques. The authors emphasize the extent to which similar results are obtained from d



Medical Book Statistical Methods in Epidemiology



It provides clear insight into the basic statistical tools used in epidemiology and is written so that those without advanced statistical training can comprehend the ideas underlying the analytical techniques. The authors emphasize the extent to which similar results are obtained from different methods, both simple and complex. To this edition they have added a new chapter on "Comparison of Numerical Results for Various Methods of Adjustment" and also one on "The Primacy of Data Collection." New topics include the Kaplan-Meier product-limit method and the Cox proportional hazards model for analysis of time-related outcomes. An appendix of data from the Framingham Heart Study is used to illustrate the application of various analytical methods to an identical set of real data and provides source material for student exercises. The text has been updated throughout.

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Saturday, April 2, 2011

Statistical Analysis and Mathematical Modelling of AIDS

Statistical Analysis and Mathematical Modelling of AIDS



Author:
Edition:
Publisher: Oxford University Press, USA
Binding: Hardcover
ISBN: 0192617451



Statistical Analysis and Mathematical Modelling of AIDS (Oxford Medical Publications)


In the worldwide fight against the AIDS epidemic, the ability to predict the number and social impact of future cases plays a vital role. Medical books Statistical Analysis and Mathematical Modelling of AIDS . The choice of control strategies, public health decisions, and the evaluation of possible interventions depend on having such information that is accurate and reliable. This book is devoted to the statistical analysis of basic data on the spread of AIDS and the mathematical modelling of the transmission and spread of the human immunodeficiency virus (HIV) which causes the disease. Such techniques take into account medical, psychosocial, behavioral and economic factors, and can help to integrate this information into an efficient methodology for the estimation of future needs and how to meet them. In addition to AIDS specialists, the studies here will be valuable to all those involved in public health, epidemiology and the control of communicable diseases Medical books Methods For Statistical Data Analysis Of Multivariate.... A practical guide for multivariate statistical techniques now updated and revised
In recent years, innovations in computer technology and statistical methodologies have dramatically altered the landscape of multivariate data analysis. This new edition of Methods for Statistical Data Analysis of Multivariate Observations explores current multivariate concepts and techniques while retaining the same practical focus of its predecessor. It integrates methods and data-based interpretations relevant to multivariate analysis in a way that addresses real-world problems arising in many areas of interest.
Greatly revised and updated, this Second Edition provides helpful examples, graphical orientation, numerous illustrations, and an appendix detailing statistical software, including the S (or Splus) and sas systems. It also offers
An expanded chapter on cluster analysis that covers advances in pattern recognition
New sections on inputs to clustering algorithms and aids for interpreting the results of cluster analysis
An exploration of some new techniques of summarization and exposure
New graphical methods for assessing the separations among the eigenvalues of a correlation matrix and for comparing sets of eigenvectors
Knowledge gained from advances in robust estimation and distributional models that are slightly broader than the multivariate normal
This Second Edition is invaluable for graduate students, applied statisticians, engineers, and scientists wishing to use multivariate techniques in a variety of disciplines.

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Download link for Lifetime Data: Models in Reliability and Survival Analysis (Paperback)

A practical guide for multivariate statistical techniques now updated and revised
In recent years, innovations in computer technology and statistical methodologies have dramatically altered the landscape of multivariate data analysis. This new edition of Methods for Statistical Data Analysis of Multivariate Observations explores current multivariate concepts and techniques while retaining the same practical focus of its predecessor. It integrates methods and data-based interpretations relevant to multivariate analysis in a way that addresses real-world problems arising in many areas of interes

Deterministic and Stochastic Models of AIDS Epidemics and HIV Infections with Intervention (English) by Wai Yuan Tan , Hulin Wu Format Hardcover Condition Brand New Language English Only book on extensive, deterministic models, statistic models, stochastic models and state space models and statistical methods for HIV epidemic involving IV drug usage and HIV epidemic in homosexual populations. Provides most recent biological insights into HIV pathogenesis and HIV kinetics at the cellular level, and illustrates how to build up mathematical models based on these biological insights. Only publicat

"Environmental Systems Engineering explains how to use new computerized tools to tackle problems in systems engineering. This book covers: expert systems, fuzzy logic, networks, process dynamics, control and statistical approaches to systems analysis. Computer simulation, mathematical models, and newer methods that apply artificial intelligence and neural networks to environmental problems are emphasized. Each book topic is supported by an interactive web site featuring computer graphics, teaching games and navigational aids. Topics are developed through the use of computer exercises using pra

"Environmental Systems Engineering explains how to use new computerized tools to tackle problems in systems engineering. This book covers: expert systems, fuzzy logic, networks, process dynamics, control and statistical approaches to systems analysis. Computer simulation, mathematical models, and newer methods that apply artificial intelligence and neural networks to environmental problems are emphasized. Each book topic is supported by an interactive web site featuring computer graphics, teaching games and navigational aids. Topics are developed through the use of computer exercises using pra



Medical Book Statistical Analysis and Mathematical Modelling of AIDS



The choice of control strategies, public health decisions, and the evaluation of possible interventions depend on having such information that is accurate and reliable. This book is devoted to the statistical analysis of basic data on the spread of AIDS and the mathematical modelling of the transmission and spread of the human immunodeficiency virus (HIV) which causes the disease. Such techniques take into account medical, psychosocial, behavioral and economic factors, and can help to integrate this information into an efficient methodology for the estimation of future needs and how to meet them. In addition to AIDS specialists, the studies here will be valuable to all those involved in public health, epidemiology and the control of communicable diseases.

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Sunday, March 20, 2011

Mathematical and Statistical Estimation Approaches in Epidemiology

Mathematical and Statistical Estimation Approaches in Epidemiology



Author:
Edition: 2009
Publisher: Springer
Binding: Hardcover
ISBN: 9048123127



Mathematical and Statistical Estimation Approaches in Epidemiology


This book is intended as a primary resource for graduate students and researchers working in the field of infectious disease epidemiology. Medical books Mathematical and Statistical Estimation Approaches in Epidemiology. This collection of contributions presents deterministic and stochastic approaches for epidemic modelling and statistical inference of epidemiological parameters including the real time assessment of the transmission potential of infectious diseases, issues related to the sensitivity of model assumptions, the use of historical archives as valuable sources of epidemiological information, modeling of vaccination programs and relapse, statistical challenges in bio surveillance, approaches for the spatial and temporal analysis of disease time series, quantification of parameter uncertainty and methodologies for sensitivity analysis Medical books Mathematical and Statistical Estimation Approaches in Epidemiology. Mathematical and Statistical Estimation Approaches in Epidemiology

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Download link for Mathematical And Statistical Estimation Approaches In Epidemiology - Chowell

Mathematical and Statistical Estimation Approaches in Epidemiology

BestBargainBooks presents ... Mathematical and Statistical Estimation Approaches in Epidemiology - Hardcover ISBN: 9048123127 Author: Publisher: Springer Release Date: 2009-06-25 Seller Category: -- Qty Available: 2 Condition: New Notes: New, unread, unused and in perfect condition. Payment due within 24 hours or items will be closed and relisted. Immediate payment required. Don't forget to check out other great deals in our eBay Store!!

Springer | 2009 | 378 pages | ISBN-13: 9789048123124 | ISBN-10: 9048123127 | You save 15%

This book is intended as a primary resource for graduate students and researchers working in the field of infectious disease epidemiology. This collection of contributions presents deterministic and stochastic approaches for epidemic modelling and statistical inference of epidemiological parameters including the real time assessment of the transmission potential of infectious diseases, issues related to the sensitivity of model assumptions, the use of historical archives as valuable sources of epidemiological information, modeling of vaccination programs and relapse, statistical challenges in



Medical Book Mathematical and Statistical Estimation Approaches in Epidemiology



This collection of contributions presents deterministic and stochastic approaches for epidemic modelling and statistical inference of epidemiological parameters including the real time assessment of the transmission potential of infectious diseases, issues related to the sensitivity of model assumptions, the use of historical archives as valuable sources of epidemiological information, modeling of vaccination programs and relapse, statistical challenges in bio surveillance, approaches for the spatial and temporal analysis of disease time series, quantification of parameter uncertainty and methodologies for sensitivity analysis. Methods and tools are illustrated with simulated and real datasets such as the 1918 influenza pandemic in Winnipeg, Canada, the 1968 influenza pandemic in US cities, Severe Acute Respiratory Syndrome (SARS), the 2005 Marburg fever outbreak in Angola, rubella epidemics in Peru, rotavirus in Mexico and pneumococcal disease in Australia.

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Saturday, March 12, 2011

Statistical Methods for Spatio-Temporal Systems Epub

Statistical Methods for Spatio-Temporal Systems



Author:
Edition: 1
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 1584885939



Statistical Methods for Spatio-Temporal Systems (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)


Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. Medical books Statistical Methods for Spatio-Temporal Systems . BR>
Contributed by leading researchers in the field, each self-contained chapter starts with an introduction of the topic and progresses to recent research results. Presenting specific examples of epidemic data of bovine tuberculosis, gastroenteric disease, and the U.K. foot-and-mouth outbreak, the first chapter uses stochastic models, such as point process models, to provide the probabilistic backbone that facilitates statistical inference from data Medical books Statistical Methods Of Spatio-temporal Systems: Vol 107 Finkenstadt, Barbel (edi. author barbel finkenstadt format hardback language english publication year 20 10 2006 series chapman hall crc monographs on statistics applied probability subject mathematics sciences subject 2 mathematics title statistical methods of spatio temporal systems vol 107 author finkenstadt barbel editor held leonhard editor isham valerie editor publisher chapman hall publication date oct 31 2006 pages 286 binding hardcover edition 1 st dimensions 6 25 wx 9 25 hx 1 00 d isbn 1584885939 subject math

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author barbel finkenstadt format hardback language english publication year 20 10 2006 series chapman hall crc monographs on statistics applied probability subject mathematics sciences subject 2 mathematics title statistical methods of spatio temporal systems vol 107 author finkenstadt barbel editor held leonhard editor isham valerie editor publisher chapman hall publication date oct 31 2006 pages 286 binding hardcover edition 1 st dimensions 6 25 wx 9 25 hx 1 00 d isbn 1584885939 subject math

The first statistics book devoted to spatio-temporal models, Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling that will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. The book describes recent advances and presents a variety of statistical methods, including likelihood-based, nonparametric smoothing, spectral, Fourier, wavelet, and Markov chain Monte Carlo. The methods are illustrated with color images as well as real-world examples, case stud

New Hardcover.

Store Search search Title, ISBN and Author Statistical Methods for Spatio-Temporal Systems by Barbel Finkenstadt Estimated delivery 3-12 business days Format Hardcover Condition Brand New Statistical Methods for Spatio-Temporal Systems presents current statistical research issues on spatio-temporal data modeling and will promote advances in research and a greater understanding between the mechanistic and the statistical modeling communities. Contributed by leading researchers in the field, each



Medical Book Statistical Methods for Spatio-Temporal Systems



BR>
Contributed by leading researchers in the field, each self-contained chapter starts with an introduction of the topic and progresses to recent research results. Presenting specific examples of epidemic data of bovine tuberculosis, gastroenteric disease, and the U.K. foot-and-mouth outbreak, the first chapter uses stochastic models, such as point process models, to provide the probabilistic backbone that facilitates statistical inference from data. The next chapter discusses the critical issue of modeling random growth objects in diverse biological systems, such as bacteria colonies, tumors, and plant populations. The subsequent chapter examines data transformation tools using examples from ecology and air quality data, followed by a chapter on space-time covariance functions. The contributors then describe stochastic and statistical models that are used to generate simulated rainfall sequences for hydrological use, such as flood risk assessment. The final chapter explores Gaussian Markov random field specifications and Bayesian computational inference via Gibbs sampling and Markov chain Monte Carlo, illustrating the methods with a variety of data examples, such as temperature surfaces, dioxin concentrations, ozone concentrations, and a well-established deterministic dynamical weather model.

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Tuesday, March 1, 2011

Handbook of Statistical Methods Epub

Handbook of Statistical Methods



Author: Vinoth Jagaroo and David L. Maxwell Eike Satake
Edition: 1
Publisher: Plural Publishing Inc
Binding: Paperback
ISBN: 1597560987



Handbook of Statistical Methods: Single Subject Design


Satake (mathematics in communication disorders, Emerson College) and his co-authors (both communications sciences and disorders, Emerson College) understand the effect of single-subject research programs, and offer a practical guide to analyzing and interpreting single subject data across a range of clinical needs. Medical books Handbook of Statistical Methods. Medical books The Handbook of Statistical Methods for Engineers and Scientists. Categories: Engineering->Statistical methods. Contributors: Harrison M. Wadsworth - Author. Format: Hardcover

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Categories: Engineering->Statistical methods. Contributors: Harrison M. Wadsworth - Author. Format: Hardcover

Handbook of Statistical Methods for Engineers and Scientists, ISBN-13: 9780070676787, ISBN-10: 007067678X

author david l maxwell author eike satake author vinoth jagaroo format mixed media product language english publication year 01 06 2007 subject mathematics sciences subject 2 science mathematics textbooks study guides title handbook of statistical methods single subject design author satake eike jagaroo vinoth maxwell david l ph d publisher plural pub inc publication date may 30 2008 pages 96 binding paperback edition 1 st dimensions 7 00 wx 10 00 hx 0 25 d isbn 1597560987 subject medical audi

Handbook of Statistics 8: Statistical Methods in Biological and Medical Sciences by Rao, CR/ Chakraborty, R./ Rao [Hardcover]



Medical Book Handbook of Statistical Methods



They begin by answering the most frequently asked questions, then use such examples anomia in aphasia, dysarthria, clinical and rehabilitation psychology, cochlear implants, and childhood autism to describe single subject designs in clinical applications in the behavior and health sciences, with descriptions, graphs and statistic analyses. The result is a practical guide that gives sufficient background in theory to allow for best practices. This works as a self-study guide as well as a classroom text.

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