Clinical Investigation and Statistics in Laboratory Medicine PDF Download
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Author: Richard G. Jones
Publisher: AACC Press
ISBN:
Category : Mathematics
Languages : en
Pages : 208
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Book Description
This text is designed for laboratory workers and clinicians but should also be useful for other healthcare workers. The authors assume that the reader has access to a computer with statistical software for inspection and analysis of data. The book has four main parts. Chapter 1 describes the different kinds of data and statistical analyses that can be applied to them. Topics include how to assess the shape of distributions, how to transform data, when to use parametric and non-parametric tests, and how to check data input and deal with outliers. Chapter 2 deals with the inaccuracy, imprecision, detection limits, analytical goals and other aspects of analytical methods used in laboratory medicine, and explains how to compare both quantitative and qualitative analytical methods.
Author: Richard G. Jones
Publisher: AACC Press
ISBN:
Category : Mathematics
Languages : en
Pages : 208
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Book Description
This text is designed for laboratory workers and clinicians but should also be useful for other healthcare workers. The authors assume that the reader has access to a computer with statistical software for inspection and analysis of data. The book has four main parts. Chapter 1 describes the different kinds of data and statistical analyses that can be applied to them. Topics include how to assess the shape of distributions, how to transform data, when to use parametric and non-parametric tests, and how to check data input and deal with outliers. Chapter 2 deals with the inaccuracy, imprecision, detection limits, analytical goals and other aspects of analytical methods used in laboratory medicine, and explains how to compare both quantitative and qualitative analytical methods.
Author: P. W. Strike
Publisher: Butterworth-Heinemann
ISBN: 1483161927
Category : Medical
Languages : en
Pages : 553
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Book Description
Statistical Methods in Laboratory Medicine focuses on the application of statistics in laboratory medicine. The book first ponders on quantitative and random variables, exploratory data analysis (EDA), probability, and probability distributions. Discussions focus on negative binomial distribution, non-random distributions, binomial distribution, fitting the binomial model to sample data, conditional probability and statistical independence, rules of probability, and Bayes' theorem. The text then examines inference, regression, and measurement and control. Topics cover analytical goals for assay precision, estimating the error variance components, indirect structural assays, functional assays, bivariate regression model, and least-squares estimates of the functional relation parameters. The manuscript takes a look at assay method comparison studies, multivariate analysis, forecasting and control, and test interpretation. Concerns include time series structure and terminology, polynomial regression, assessing the performance of the classification rule, quantitative screening tests, sample correlation coefficient, and computer assisted diagnosis. The book is a dependable reference for medical experts and statisticians interested in the employment of statistics in laboratory medicine.
Author: Paul W. Strike
Publisher: Butterworth-Heinemann
ISBN:
Category : Diagnosis, Laboratory
Languages : en
Pages : 558
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Book Description
Author: Roy N. Barnett
Publisher:
ISBN:
Category : Diagnosis, Laboratory
Languages : en
Pages : 197
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Book Description
Author: Alberto M. Marchevsky
Publisher: Springer Science & Business Media
ISBN: 1441910301
Category : Medical
Languages : en
Pages : 364
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Book Description
Focusing on practical, patient related issues, this volume provides the basic concepts of Evidence Based Medicine (EBM) as they relate to Pathology and Laboratory Medicine and presents various practical applications. It includes EBM concepts for use in the identification of cost-effective panels of immunostains and other laboratory tests and for improvement of diagnostic accuracy based on the identification of selected diagnostic features for particular differential diagnosis. EBM concepts are also put forth for use in Meta-analysis to integrate the results of conflicting literature reports and use of novel analytical tools such as Bayesian belief networks, neural networks, multivariate statistics and decision tree analysis for the development of new diagnostic and prognostic models for the evaluation of patients. This volume will be of great value to pathologists who will benefit from the concepts being promoted by EBM, such as levels of evidence, use of Bayesian statistics to develop diagnostic and other rules and stronger reliance on "hard data" to support therapeutic and diagnostic modalities.
Author: Amir Momeni
Publisher: Springer
ISBN: 3319605437
Category : Medical
Languages : en
Pages : 317
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Book Description
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.
Author: Ton J. Cleophas
Publisher: Springer Science & Business Media
ISBN: 1402095236
Category : Mathematics
Languages : en
Pages : 550
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Book Description
In clinical medicine appropriate statistics has become indispensable to evaluate treatment effects. Randomized controlled trials are currently the only trials that truly provide evidence-based medicine. Evidence based medicine has become crucial to optimal treatment of patients. We can define randomized controlled trials by using Christopher J. Bulpitt’s definition “a carefully and ethically designed experiment which includes the provision of adequate and appropriate controls by a process of randomization, so that precisely framed questions can be answered”. The answers given by randomized controlled trials constitute at present the way how patients should be clinically managed. In the setup of such randomized trial one of the most important issues is the statistical basis. The randomized trial will never work when the statistical grounds and analyses have not been clearly defined beforehand. All endpoints should be clearly defined in order to perform appropriate power calculations. Based on these power calculations the exact number of available patients can be calculated in order to have a sufficient quantity of individuals to have the predefined questions answered. Therefore, every clinical physician should be capable to understand the statistical basis of well performed clinical trials. It is therefore a great pleasure that Drs. T. J. Cleophas, A. H. Zwinderman, and T. F. Cleophas have published a book on statistical analysis of clinical trials. The book entitled “Statistics Applied to Clinical Trials” is clearly written and makes complex issues in statistical analysis transparant.
Author: Richard Ravel
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 506
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Book Description
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309171148
Category : Medical
Languages : en
Pages : 221
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Book Description
Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of research participants is more prone to variability and carries a considerable risk of failing to demonstrate the effectiveness of a given intervention when one really is present. This may occur in phase I (safety and pharmacologic profiles), II (pilot efficacy evaluation), and III (extensive assessment of safety and efficacy) trials. Although phase I and II studies may have smaller sample sizes, they usually have adequate statistical power, which is the committee's definition of a "large" trial. Sometimes a trial with eight participants may have adequate statistical power, statistical power being the probability of rejecting the null hypothesis when the hypothesis is false. Small Clinical Trials assesses the current methodologies and the appropriate situations for the conduct of clinical trials with small sample sizes. This report assesses the published literature on various strategies such as (1) meta-analysis to combine disparate information from several studies including Bayesian techniques as in the confidence profile method and (2) other alternatives such as assessing therapeutic results in a single treated population (e.g., astronauts) by sequentially measuring whether the intervention is falling above or below a preestablished probability outcome range and meeting predesigned specifications as opposed to incremental improvement.
Author: William J. Marshall
Publisher: Elsevier Health Sciences
ISBN: 0443101868
Category : Medical
Languages : en
Pages : 997
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Book Description
Now fully revised and updated, Clinical Biochemistry, third edition is essential reading for specialty trainees, particularly those preparing for postgraduate examinations. It is also an invaluable current reference for all established practitioners, including both medical and scientist clinical biochemists. Building on the success of previous editions, this leading textbook primarily focuses on clinical aspects of the subject, giving detailed coverage of all conditions where clinical biochemistry is used in diagnosis and management - including nutritional disorders, diabetes, inherited metabolic disease, metabolic bone disease, renal calculi and dyslipidaemias. The acquisition and interpretation of clinical biochemical data are also discussed in detail. Expanded sections on haematology and immunology for clinical biochemists provide a thorough understanding of both laboratory and clinical aspects New chapters are included on important evolving areas such as the metabolic response to stress, forensic aspects of clinical biochemistry and data quality management An extended editorial team - including three expert new additions - ensures accuracy of information and relevance to current curricula and clinical practice A superb new accompanying electronic version provides an enhanced learning experience and rapid reference anytime, anywhere! Elsevier ExpertConsult.com Enhanced eBooks for medical professionals Compatible with PC, Mac®, most mobile devices and eReaders, browse, search, and interact with this title - online and offline. Redeem your PIN at expertconsult.com today! Straightforward navigation and search across all Elsevier titles Seamless, real-time integration between devices Adjustable text size and brightness Notes and highlights sharing with other users through social media Interactive content
