May 6, 2021

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Laboratory Statistics

Laboratory Statistics
Author : Anders Kallner
Publisher : Elsevier
Release Date : 2017-10-23
Category : Science
Total pages :174
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Laboratory Statistics: Methods in Chemistry and Health Science, Second Edition, presents common strategies for comparing and evaluating numerical laboratory data. In particular, the text deals with the type of data and problems that laboratory scientists and students in analytical chemistry, clinical chemistry, epidemiology, and clinical research face on a daily basis. This book takes the mystery out of statistics and provides simple, hands-on instructions in the format of everyday formulas. Spreadsheet shortcuts and functions are included, along with many simple worked examples. This book is a must-have guide to applied statistics in the lab that will result in improved experimental design and analysis. This thoroughly revised second edition includes several new sections, more examples, and all formulas in Excel code. Provides comprehensive coverage of simple statistical concepts Familiarizes the reader with formatted statistical expression Presents simple, worked examples that make formulas easy to apply Includes spreadsheet functions that demonstrate how to find immediate solutions to common problems

Laboratory Statistics

Laboratory Statistics
Author : Anders Kallner
Publisher : Elsevier
Release Date : 2013-09-06
Category : Science
Total pages :154
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Laboratory Statistics: Handbook of Formulas and Terms presents common strategies for comparing and evaluating numerical laboratory data. In particular, the text deals with the type of data and problems that laboratory scientists and students in analytical chemistry, clinical chemistry, epidemiology, and clinical research face on a daily basis. This book takes the mystery out of statistics and provides simple, hands-on instructions in the format of everyday formulas. As far as possible, spreadsheet shortcuts and functions are included, along with many simple worked examples. This book is a must-have guide to applied statistics in the lab that will result in improved experimental design and analysis. Comprehensive coverage of simple statistical concepts familiarizes the reader with formatted statistical expression Simple, worked examples make formulas easy to use in real life Spreadsheet functions demonstrate how to find immediate solutions to common problems In-depth indexing and frequent use of synonyms facilitate the quick location of appropriate procedures

Basic Statistics for Laboratories

Basic Statistics for Laboratories
Author : William D. Kelley,Thomas A. Ratliff,Charles M. Nenadic
Publisher : Van Nostrand Reinhold Company
Release Date : 1992
Category : Statistics
Total pages :175
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Marketing and regulatory pressures are driving laboratories to adopt statistically valid quality control or quality assurance systems. For the laboratory professional who's unfamiliar with the statistical tools used in laboratory quality control, Basic Statistics for Laboratories offers guidance to employing basic statistical controls or reports required by regulatory or accrediting organizations, as well as statistical methods which may otherwise be useful in the lab. The book explains, in basic terms, how to set up, maintain, and interpret control charts and other commonly used laboratory statistical tools, and explains their value to the user. Every technique is delivered in its simplest, most basic form. There is step-by-step guidance to method development, validation, comparison of test methods, and quality control for even small samples, without the use of mathematics beyond the high school level. Tests for the significance of differences, presented in "cookbook" format solutions, make it easy for lab professionals to plug in their own data and use tables. You'll also find exclusive coverage of the problems of asbestos counting laboratories. In addition, the volume presents simple solutions to other problems involving data handling and interpretation, such as the treatment of outliers and how to deal with single or rarely encountered samples. For analysts, test engineers, and laboratory technicians in medical, pathological, environmental, industrial hygiene, and forensic laboratories, Basic Statistics for Laboratories is a timely and essential reference.

Introduction to Statistical Analysis of Laboratory Data

Introduction to Statistical Analysis of Laboratory Data
Author : Alfred Bartolucci,Karan P. Singh,Sejong Bae
Publisher : John Wiley & Sons
Release Date : 2015-12-02
Category : Mathematics
Total pages :256
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Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process Introduces terminology used in many applications such as the interpretation of assay design and validation as well as “fit for purpose” procedures including real world examples Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions

Statistics for the Quality Control Chemistry Laboratory

Statistics for the Quality Control Chemistry Laboratory
Author : Eamonn Mullins
Publisher : Royal Society of Chemistry
Release Date : 2003
Category : Science
Total pages :455
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Statistical methods are essential tools for analysts, particularly those working in Quality Control Laboratories. This book provides a sound introduction to their use in analytical chemistry, without requiring a strong mathematical background. It emphasises simple graphical methods of data analysis, such as control charts, which are a key tool in Internal Laboratory Quality Control and which are also a fundamental requirement in laboratory accreditation. A large part of the book is concerned with the design and analysis of laboratory experiments, including sample size determination. Practical case studies and many real datasets, from both QC laboratories and the research literature, are used to illustrate the ideas in action. The aim of Statistics for the Quality Control Chemistry Laboratory is to give the reader a strong grasp of the concept of statistical variation in laboratory data and of the value of simple statistical ideas and methods in thinking about and manipulating such data. It will be invaluable to analysts working in QC laboratories in industry, hospitals and public health, and will also be welcomed as a textbook for aspiring analysts in colleges and universities.

Statistical Methods in Laboratory Medicine

Statistical Methods in Laboratory Medicine
Author : P. W. Strike
Publisher : Butterworth-Heinemann
Release Date : 2014-05-16
Category : Health & Fitness
Total pages :552
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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.

Exam Prep for: Laboratory Statistics

Exam Prep for: Laboratory Statistics
Author : Anonim
Publisher : Unknown
Release Date : 2021
Category :
Total pages :129
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Statistical Bases of Reference Values in Laboratory Medicine

Statistical Bases of Reference Values in Laboratory Medicine
Author : Eugene K. Harris,James C. Boyd
Publisher : CRC Press
Release Date : 1995-07-07
Category : Mathematics
Total pages :384
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Examining the strengths and limitations of various standards of accuracy in clinical laboratory analyses, this detailed reference presents an in-depth study of important theoretical and empirical issues concerning the description, collection, and application of reference values in laboratory medicine.

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology
Author : Scott Pardo,Michael Pardo
Publisher : CRC Press
Release Date : 2018-03-05
Category : Mathematics
Total pages :302
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Statistical Methods for Field and Laboratory Studies in Behavioral Ecology focuses on how statistical methods may be used to make sense of behavioral ecology and other data. It presents fundamental concepts in statistical inference and intermediate topics such as multiple least squares regression and ANOVA. The objective is to teach students to recognize situations where various statistical methods should be used, understand the strengths and limitations of the methods, and to show how they are implemented in R code. Examples are based on research described in the literature of behavioral ecology, with data sets and analysis code provided. Features: This intermediate to advanced statistical methods text was written with the behavioral ecologist in mind Computer programs are provided, written in the R language. Datasets are also provided, mostly based, at least to some degree, on real studies. Methods and ideas discussed include multiple regression and ANOVA, logistic and Poisson regression, machine learning and model identification, time-to-event modeling, time series and stochastic modeling, game-theoretic modeling, multivariate methods, study design/sample size, and what to do when things go wrong. It is assumed that the reader has already had exposure to statistics through a first introductory course at least, and also has sufficient knowledge of R. However, some introductory material is included to aid the less initiated reader. Scott Pardo, Ph.D., is an accredited professional statistician (PStat®) by the American Statistical Association. Michael Pardo is a Ph.D. is a candidate in behavioral ecology at Cornell University, specializing in animal communication and social behavior. ? ?

Clinical Laboratory Statistics

Clinical Laboratory Statistics
Author : Roy N. Barnett
Publisher : Unknown
Release Date : 1971
Category : Clinical medicine
Total pages :197
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Principles of statistical analysis; Application of statistics in the clinical laboratory; Application of statistics in patient care; Statistics in medical literature.

Health Resources Statistics

Health Resources Statistics
Author : National Center for Health Statistics (U.S.)
Publisher : Unknown
Release Date : 1970
Category : Medical care
Total pages :129
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Clinical Investigation and Statistics in Laboratory Medicine

Clinical Investigation and Statistics in Laboratory Medicine
Author : Richard G. Jones,R. Brian Payne
Publisher : Amer Assn for Clinical Chemistry
Release Date : 1997
Category : Medical
Total pages :196
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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.

Quick Guide to Laboratory Statistics and Quality Control

Quick Guide to Laboratory Statistics and Quality Control
Author : George A. Fritsma,David McGlasson
Publisher : Unknown
Release Date : 2012-05-01
Category : Acceptance sampling
Total pages :54
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Experimental Design for Laboratory Biologists

Experimental Design for Laboratory Biologists
Author : Stanley E. Lazic
Publisher : Cambridge University Press
Release Date : 2016-10-31
Category : Family & Relationships
Total pages :416
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A guide to designing lab-based biological experiments that have low bias, high precision and widely applicable results.

Technical Report Series of the Laboratory for Research in Statistics and Probability

Technical Report Series of the Laboratory for Research in Statistics and Probability
Author : Anonim
Publisher : Unknown
Release Date : 1991
Category : Probabilities
Total pages :129
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