Introduction To Statistical Methods In Pathology


Introduction To Statistical Methods In Pathology
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Introduction To Statistical Methods In Pathology


Introduction To Statistical Methods In Pathology
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Author : Amir Momeni
language : en
Publisher: Springer
Release Date : 2017-09-07

Introduction To Statistical Methods In Pathology written by Amir Momeni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-07 with Medical categories.


This text provides a comprehensive and practical review of the main statistical methods in pathology and laboratory medicine. It introduces statistical concepts used in pathology and laboratory medicine. The information provided is relevant to pathologists both for their day to day clinical practice as well as in their research and scholarly activities. The text will begins by explaining the fundamentals concepts in statistics. In the later sections, these fundamental concepts are expanded and unique applications of statistical methods in pathology and laboratory medicine practice are introduced. Other sections of the text explain research methodology in pathology covering a broad range of topics from study design to analysis of data. Finally, data-heavy novel concepts that are emerging in pathology and pathology research are presented such as molecular pathology and pathology informatics. Introduction to Statistical Methods in Pathology will be of great value for pathologists, pathology residents, basic and translational researchers, laboratory managers and medical students.



Statistics For Pathologists


Statistics For Pathologists
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Author : Danny A. Milner, Jr., MD
language : en
Publisher: Springer Publishing Company
Release Date : 2016-12-28

Statistics For Pathologists written by Danny A. Milner, Jr., MD and has been published by Springer Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-28 with Medical categories.


This essential guide provides a clear, accessible review of the use of statistics in pathology studies. Spanning topics such as exploratory data analysis and descriptive statistics as well as the use of comparative statistics, concordance analysis, categorical and continuous data regression analyses, count data, survival analyses, decision point and clustering analysis, and more, this practical book comprehensively demystifies all the statistical knowledge paramount to working in the field. Throughout the guide, the author team highlights common errors and pitfalls that occur when performing tests and when interpreting data and make suggestions for how to avoid mistakes. Chapters are uniformly structured for ease of use and each chapter concludes with reviewquestions to facilitate self-assessment of the reader's skill in use of statistical methods. Statistics for Pathologists teaches trainees, junior investigators, and seasoned pathologists how to look at their data from the point of view of a statistician and determine what tests should be done, how the data and test should be presented, and how to use the tests practically. Learning statistical applications can greatly enhance and simplify the skills necessary to review and present data accurately and this basic understanding of statistics is critical in pathology-related work. Key Features Clear, concise overviews of every relevant statistical test with application in pathology-related research Includes real published studies to provide examples of use of the tests and interpretation of data Emphasizes how to avoid common errors and pitfalls when conducting tests and interpreting data Provides self-assessment review questions and answers in each chapter Comes with downloadable datasets for the reader so that they can perform statistical analysis tied to the book with popular stats programs



Introduction To Non Parametric Methods Through R Software


Introduction To Non Parametric Methods Through R Software
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Author : Editor IJSMI
language : en
Publisher: International Journal of Statistics and Medical Informatics
Release Date : 2022-09-30

Introduction To Non Parametric Methods Through R Software written by Editor IJSMI and has been published by International Journal of Statistics and Medical Informatics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-30 with Education categories.


Statistical Methods are widely used in Medical, Biological, Clinical, Business and Engineering field. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data. The book mainly focuses on non-parametric aspects of Statistical methods. Non parametric methods or tests are used when the assumption about the distribution of the variables in the data set is not known or does not follow normal distribution assumption. Non parametric methods are useful to deal with ordered categorical data. When the sample size is large, statistical tests are robust due to the central limit theorem property. When sample size is small one need to use non-parametric tests. Compared to parametric tests, non-parametric tests are less powerful i.e. if we fail to reject the null hypothesis even if it is false. When the data set involves ranks or measured in ordinal scale then non-parametric tests are useful and easy to construct than parametric tests. The book uses open source R statistical software to carry out different non-parametric statistical methods with sample datasets.



Introduction To Statistical Analysis Of Laboratory Data


Introduction To Statistical Analysis Of Laboratory Data
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Author : Alfred A. Bartolucci
language : en
Publisher:
Release Date : 2016

Introduction To Statistical Analysis Of Laboratory Data written by Alfred A. Bartolucci and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with HEALTH & FITNESS categories.




Essentials Of Bio Statistics An Overview With The Help Of Software


Essentials Of Bio Statistics An Overview With The Help Of Software
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Author : EDITOR IJSMI
language : en
Publisher: createspace
Release Date : 2018-08-19

Essentials Of Bio Statistics An Overview With The Help Of Software written by EDITOR IJSMI and has been published by createspace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-19 with Medical categories.


This book intends to provide an overview of biostatistics concepts and methodology through the use of statistical software. It helps clinicians, health care and biomedical professionals who need to have basic knowledge of biostatistics as they come across clinical data related to patient, drug and dosage requirement, treatment modalities in day to day life and they are required to take clinical and health care decisions based on the data. This book covers basic concepts involved in the field of Biostatistics such as descriptive statistics, inferential statistics, correlation and regression along with the advanced concepts such as factor analysis, cluster analysis, discriminant analysis and survival analysis. Each topic is explained with the help of R statistical package (open source package). One important note that the book will not discuss about the formulas and equations involved in the statistical concepts and the author assumes that the readers have basic understanding of excel as the sample dataset is used in the book are mostly excel based datasets and also have some clinical background.



Statistical Methods In Laboratory Medicine


Statistical Methods In Laboratory Medicine
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Author : Paul W. Strike
language : en
Publisher: Butterworth-Heinemann
Release Date : 1991

Statistical Methods In Laboratory Medicine written by Paul W. Strike and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Diagnosis, Laboratory categories.




Statistical Techniques In Bioassay


Statistical Techniques In Bioassay
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Author : Z. Govindarajulu
language : en
Publisher: Karger Medical and Scientific Publishers
Release Date : 2001

Statistical Techniques In Bioassay written by Z. Govindarajulu and has been published by Karger Medical and Scientific Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Science categories.


In the face of the ever-increasing importance of statistical methods in medical research and practice, the first edition of this publication has provided a sound and deep understanding of statistical methods in bioassay to many students and researchers. In addition to the profound presentation of statistical methods of the first edition, here the reader will find new material stemming from the recent statistical literature as well as data reflecting modern trends in general applied statistical research. Examples are discussions on design and planning, e.g. choices of dose levels, and additional section in the chapter on Bayes methods, and a new chapter on sequential estimation for the logistic model. The book will be a valuable source of information to students in the experimental area of statistical aspects of biological assay, professional statisticians with an interest in research in this topic, teachers in statistics and biology, and investigators in the biological and medical sciences who use bioassay in their work.



Statistical Methods For The Analysis Of Biomedical Data


Statistical Methods For The Analysis Of Biomedical Data
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Author : Robert F. Woolson
language : en
Publisher: John Wiley & Sons
Release Date : 2011-01-25

Statistical Methods For The Analysis Of Biomedical Data written by Robert F. Woolson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-25 with Medical categories.


Dieser Band behandelt eine Reihe statistischer Themen, die bei der Analyse biologischer und medizinischer Daten allgemein Anwendung finden. Diese 2. Auflage wurde komplett überarbeitet, aktualisiert und erweitert. Einige Kapitel sind neu hinzugekommen, u.a. zur multiplen linearen Regression in der biomedizinischen Forschung. Der Stoff ist so gegliedert, dass der Leser den Text unabhängig von der jeweiligen statistischen Methode leicht nach Problemstellungen durchsuchen kann. Mit zahlreichen durchgearbeiteten Beispielen, die detaillierte Lösungsangaben zu Problemen aus der Praxis liefern.



Statistical Methods In Diagnostic Medicine


Statistical Methods In Diagnostic Medicine
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Author : Xiao-Hua Zhou
language : en
Publisher: John Wiley & Sons
Release Date : 2014-08-21

Statistical Methods In Diagnostic Medicine written by Xiao-Hua Zhou and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-21 with Medical categories.


Praise for the First Edition " . . . 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.



Statistical Methods In Medical Research


Statistical Methods In Medical Research
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Author : Peter Armitage
language : en
Publisher: John Wiley & Sons
Release Date : 2013-07-01

Statistical Methods In Medical Research written by Peter Armitage and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-01 with Medical categories.


The explanation and implementation of statistical methods for themedical researcher or statistician remains an integral part ofmodern medical research. This book explains the use of experimentaland analytical biostatistics systems. Its accessible style allowsit to be used by the non-mathematician as a fundamental componentof successful research. Since the third edition, there have been many developments instatistical techniques. The fourth edition provides the medicalstatistician with an accessible guide to these techniques and toreflect the extent of their usage in medical research. The new edition takes a much more comprehensive approach to itssubject. There has been a radical reorganization of the text toimprove the continuity and cohesion of the presentation and toextend the scope by covering many new ideas now being introducedinto the analysis of medical research data. The authors have triedto maintain the modest level of mathematical exposition thatcharacterized the earlier editions, essentially confining themathematics to the statement of algebraic formulae rather thanpursuing mathematical proofs. Received the Highly Commended Certificate in the PublicHealth Category of the 2002 BMA BooksCompetition.