Statistical Analysis Of Clinical Data On A Pocket Calculator

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Statistical Analysis of Clinical Data on a Pocket Calculator, Part 2

Author : Ton J. Cleophas
Publisher : Springer Science & Business Media
ISBN 13 : 9400747047
Total Pages : 79 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Statistical Analysis of Clinical Data on a Pocket Calculator, Part 2 by : Ton J. Cleophas

Download or read book Statistical Analysis of Clinical Data on a Pocket Calculator, Part 2 written by Ton J. Cleophas and published by Springer Science & Business Media. This book was released on 2012-06-28 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first part of this title contained all statistical tests relevant to starting clinical investigations, and included tests for continuous and binary data, power, sample size, multiple testing, variability, confounding, interaction, and reliability. The current part 2 of this title reviews methods for handling missing data, manipulated data, multiple confounders, predictions beyond observation, uncertainty of diagnostic tests, and the problems of outliers. Also robust tests, non-linear modeling , goodness of fit testing, Bhatacharya models, item response modeling, superiority testing, variability testing, binary partitioning for CART (classification and regression tree) methods, meta-analysis, and simple tests for incident analysis and unexpected observations at the workplace and reviewed. Each test method is reported together with (1) a data example from practice, (2) all steps to be taken using a scientific pocket calculator, and (3) the main results and their interpretation. Although several of the described methods can also be carried out with the help of statistical software, the latter procedure will be considerably slower. Both part 1 and 2 of this title consist of a minimum of text and this will enhance the process of mastering the methods. Yet the authors recommend that for a better understanding of the test procedures the books be used together with the same authors' textbook "Statistics Applied to Clinical Studies" 5th edition edited 2012, by Springer Dordrecht Netherlands. More complex data files like data files with multiple treatment modalities or multiple predictor variables can not be analyzed with a pocket calculator. We recommend that the small books "SPSS for starters", Part 1 and 2 (Springer, Dordrecht, 2010, and 2012) from the same authors be used as a complementary help for the readers' benefit.

Statistical Analysis of Clinical Data on a Pocket Calculator

Author : Ton J. Cleophas
Publisher : Springer
ISBN 13 : 9789400712102
Total Pages : 58 pages
Book Rating : 4.7/5 (121 download)

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Book Synopsis Statistical Analysis of Clinical Data on a Pocket Calculator by : Ton J. Cleophas

Download or read book Statistical Analysis of Clinical Data on a Pocket Calculator written by Ton J. Cleophas and published by Springer. This book was released on 2011-05-06 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: The core principles of statistical analysis are too easily forgotten in today’s world of powerful computers and time-saving algorithms. This step-by-step primer takes researchers who lack the confidence to conduct their own analyses right back to basics, allowing them to scrutinize their own data through a series of rapidly executed reckonings on a simple pocket calculator. A range of easily navigable tutorials facilitate the reader’s assimilation of the techniques, while a separate chapter on next generation Flash prepares them for future developments in the field. This practical volume also contains tips on how to deny hackers access to Flash internet sites. An ideal companion to the author’s co-authored works on statistical analysis for Springer such as Statistics Applied to Clinical Trials, this monograph will help researchers understand the processes involved in interpreting clinical data, as well as being a necessary prerequisite to mastering more advanced statistical techniques. The principles of statistical analysis are easily forgotten in today’s world of time-saving algorithms. This step-by-step primer takes researchers back to basics, enabling them to examine their own data through a series of sums on a simple pocket calculator.

Clinical Data Analysis on a Pocket Calculator

Author : Ton J. Cleophas
Publisher : Springer
ISBN 13 : 3319271040
Total Pages : 328 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Clinical Data Analysis on a Pocket Calculator by : Ton J. Cleophas

Download or read book Clinical Data Analysis on a Pocket Calculator written by Ton J. Cleophas and published by Springer. This book was released on 2016-01-22 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: In medical and health care the scientific method is little used, and statistical software programs are experienced as black box programs producing lots of p-values, but little answers to scientific questions. The pocket calculator analyses appears to be, particularly, appreciated, because they enable medical and health professionals and students for the first time to understand the scientific methods of statistical reasoning and hypothesis testing. So much so, that it can start something like a new dimension in their professional world. In addition, a number of statistical methods like power calculations and required sample size calculations can be performed more easily on a pocket calculator, than using a software program. Also, there are some specific advantages of the pocket calculator method. You better understand what you are doing. The pocket calculator works faster, because far less steps have to be taken, averages can be used. The current nonmathematical book is complementary to the nonmathematical "SPSS for Starters and 2nd Levelers" (Springer Heidelberg Germany 2015, from the same authors), and can very well be used as its daily companion.

Statistical Analysis of Clinical Data on a Pocket Calculator

Author : Ton J. Cleophas
Publisher :
ISBN 13 : 9789400712126
Total Pages : 68 pages
Book Rating : 4.7/5 (121 download)

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Book Synopsis Statistical Analysis of Clinical Data on a Pocket Calculator by : Ton J. Cleophas

Download or read book Statistical Analysis of Clinical Data on a Pocket Calculator written by Ton J. Cleophas and published by . This book was released on 2011-04-29 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Regression Analysis in Medical Research

Author : Ton J. Cleophas
Publisher : Springer
ISBN 13 : 3319719378
Total Pages : 424 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Regression Analysis in Medical Research by : Ton J. Cleophas

Download or read book Regression Analysis in Medical Research written by Ton J. Cleophas and published by Springer. This book was released on 2018-01-29 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edition is a pretty complete textbook and tutorial for medical and health care students, as well as a recollection/update bench, and help desk for professionals. Novel approaches already applied in published clinical research will be addressed: matrix analyses, alpha spending, gate keeping, kriging, interval censored regressions, causality regressions, canonical regressions, quasi-likelihood regressions, novel non-parametric regressions. Each chapter can be studied as a stand-alone, and covers one field in the fast growing world of regression analyses. The authors, as professors in statistics and machine learning at European universities, are worried, that their students find regression-analyses harder than any other methodology in statistics. This is serious, because almost all of the novel methodologies in current data mining and data analysis include elements of regression-analysis. It is the main incentive for writing this 28 chapter edition, consistent of - 28 major fields of regression analysis, - their condensed maths, - their applications in medical and health research as published so far, - step by step analyses for self-assessment, - conclusion and reference sections. Traditional regression analysis is adequate for epidemiology, but lacks the precision required for clinical investigations. However, in the past two decades modern regression methods have proven to be much more precise. And so it is time, that a book described regression analyses for clinicians. The current edition is the first to do so. It is written for a non-mathematical readership. Self-assessment data-files are provided through Springer' s "Extras Online".

SPSS for Starters, Part 2

Author : Ton J. Cleophas
Publisher : Springer Science & Business Media
ISBN 13 : 9400748043
Total Pages : 105 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis SPSS for Starters, Part 2 by : Ton J. Cleophas

Download or read book SPSS for Starters, Part 2 written by Ton J. Cleophas and published by Springer Science & Business Media. This book was released on 2012-07-09 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first part of this title contained all statistical tests that are relevant for starters on SPSS, and included standard parametric and non-parametric tests for continuous and binary variables, regression methods, trend tests, and reliability and validity assessments of diagnostic tests. The current part 2 of this title reviews multistep methods, multivariate models, assessments of missing data, performance of diagnostic tests, meta-regression, Poisson regression, confounding and interaction, and survival analyses using log tests and segmented time-dependent Cox regression. Methods for assessing non linear models, data seasonality, distribution free methods, including Monte Carlo methods and artificial intelligence, and robust tests are also covered. Each method of testing is explained using a data example from clinical practice,including every step in SPSS, and a text with interpretations of the results and hints convenient for data reporting. In order to facilitate the use of this cookbook the data files of the examples is made available by the editor through extras.springer.com. Both part 1 and 2 of this title contain a minima amount of text and maximal technical details, but we believe that this property will not refrain students from mastering the SPSS software systematics, and that, instead, it will be a help to that aim. Yet, we recommend that it will used together with the textbook "Statistics Applied to Clinical Trials" (5th edition, Springer, Dordrecht 2012) and the e-books "Statistics on a Pocket Calculator Part 1 and 2 (Springer, Dordrecht, 2011 and 2012) from the same authors.

Understanding Clinical Data Analysis

Author : Ton J. Cleophas
Publisher : Springer
ISBN 13 : 3319395866
Total Pages : 241 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Understanding Clinical Data Analysis by : Ton J. Cleophas

Download or read book Understanding Clinical Data Analysis written by Ton J. Cleophas and published by Springer. This book was released on 2016-08-23 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook consists of ten chapters, and is a must-read to all medical and health professionals, who already have basic knowledge of how to analyze their clinical data, but still, wonder, after having done so, why procedures were performed the way they were. The book is also a must-read to those who tend to submerge in the flood of novel statistical methodologies, as communicated in current clinical reports, and scientific meetings. In the past few years, the HOW-SO of current statistical tests has been made much more simple than it was in the past, thanks to the abundance of statistical software programs of an excellent quality. However, the WHY-SO may have been somewhat under-emphasized. For example, why do statistical tests constantly use unfamiliar terms, like probability distributions, hypothesis testing, randomness, normality, scientific rigor, and why are Gaussian curves so hard, and do they make non-mathematicians getting lost all the time? The book will cover the WHY-SOs.

Modern Bayesian Statistics in Clinical Research

Author : Ton J. Cleophas
Publisher : Springer
ISBN 13 : 3319927477
Total Pages : 193 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Modern Bayesian Statistics in Clinical Research by : Ton J. Cleophas

Download or read book Modern Bayesian Statistics in Clinical Research written by Ton J. Cleophas and published by Springer. This book was released on 2018-07-31 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current textbook has been written as a help to medical / health professionals and students for the study of modern Bayesian statistics, where posterior and prior odds have been replaced with posterior and prior likelihood distributions. Why may likelihood distributions better than normal distributions estimate uncertainties of statistical test results? Nobody knows for sure, and the use of likelihood distributions instead of normal distributions for the purpose has only just begun, but already everybody is trying and using them. SPSS statistical software version 25 (2017) has started to provide a combined module entitled Bayesian Statistics including almost all of the modern Bayesian tests (Bayesian t-tests, analysis of variance (anova), linear regression, crosstabs etc.). Modern Bayesian statistics is based on biological likelihoods, and may better fit clinical data than traditional tests based normal distributions do. This is the first edition to systematically imply modern Bayesian statistics in traditional clinical data analysis. This edition also demonstrates that Markov Chain Monte Carlo procedures laid out as Bayesian tests provide more robust correlation coefficients than traditional tests do. It also shows that traditional path statistics are both textually and conceptionally like Bayes theorems, and that structural equations models computed from them are the basis of multistep regressions, as used with causal Bayesian networks.

SPSS for Starters and 2nd Levelers

Author : Ton J. Cleophas
Publisher : Springer
ISBN 13 : 3319206001
Total Pages : 361 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis SPSS for Starters and 2nd Levelers by : Ton J. Cleophas

Download or read book SPSS for Starters and 2nd Levelers written by Ton J. Cleophas and published by Springer. This book was released on 2015-10-14 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique point of this book is its low threshold, textually simple and at the same time full of self-assessment opportunities. Other unique points are the succinctness of the chapters with 3 to 6 pages, the presence of entire-commands-texts of the statistical methodologies reviewed and the fact that dull scientific texts imposing an unnecessary burden on busy and jaded professionals have been left out. For readers requesting more background, theoretical and mathematical information a note section with references is in each chapter. The first edition in 2010 was the first publication of a complete overview of SPSS methodologies for medical and health statistics. Well over 100,000 copies of various chapters were sold within the first year of publication. Reasons for a rewrite were four. First, many important comments from readers urged for a rewrite. Second, SPSS has produced many updates and upgrades, with relevant novel and improved methodologies. Third, the authors felt that the chapter texts needed some improvements for better readability: chapters have now been classified according the outcome data helpful for choosing your analysis rapidly, a schematic overview of data, and explanatory graphs have been added. Fourth, current data are increasingly complex and many important methods for analysis were missing in the first edition. For that latter purpose some more advanced methods seemed unavoidable, like hierarchical loglinear methods, gamma and Tweedie regressions and random intercept analyses. In order for the contents of the book to remain covered by the title, the authors renamed the book: SPSS for Starters and 2nd Levelers. Special care was, nonetheless, taken to keep things as simple as possible, simple menu commands are given. The arithmetic is still of a no-more-than high-school level. Step-by-step analyses of different statistical methodologies are given with the help of 60 SPSS data files available through the internet. Because of the lack of time of this busy group of people, the authors have given every effort to produce a text as succinct as possible.

Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation

Author : Robert Bembenik
Publisher : Springer
ISBN 13 : 3319047140
Total Pages : 297 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation by : Robert Bembenik

Download or read book Intelligent Tools for Building a Scientific Information Platform: From Research to Implementation written by Robert Bembenik and published by Springer. This book was released on 2014-07-08 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a selection of results obtained within three years of research performed under SYNAT—a nation-wide scientific project aiming at creating an infrastructure for scientific content storage and sharing for academia, education and open knowledge society in Poland. The book is intended to be the last of the series related to the SYNAT project. The previous books, titled “Intelligent Tools for Building a Scientific Information Platform” and “Intelligent Tools for Building a Scientific Information Platform: Advanced Architectures and Solutions”, were published as volumes 390 and 467 in Springer's Studies in Computational Intelligence. Its contents is based on the SYNAT 2013 Workshop held in Warsaw. The papers included in this volume present an overview and insight into information retrieval, repository systems, text processing, ontology-based systems, text mining, multimedia data processing and advanced software engineering, addressing the problems of implementing intelligent tools for building a scientific information platform.

Efficacy Analysis in Clinical Trials an Update

Author : Ton J. Cleophas
Publisher : Springer Nature
ISBN 13 : 3030199185
Total Pages : 304 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Efficacy Analysis in Clinical Trials an Update by : Ton J. Cleophas

Download or read book Efficacy Analysis in Clinical Trials an Update written by Ton J. Cleophas and published by Springer Nature. This book was released on 2019-09-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning and big data is hot. It is, however, virtually unused in clinical trials. This is so, because randomization is applied to even out multiple variables Modern medical computer files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are required This is the first publication of clinical trials that have been systematically analyzed with machine learning. In addition, all of the machine learning analyses were tested against traditional analyses. Step by step statistics for self-assessments are included The authors conclude, that machine learning is often more informative, and provides better sensitivities of testing than traditional analytic methods do

Introduction to Non Parametric Methods through R Software

Author : Editor IJSMI
Publisher : International Journal of Statistics and Medical Informatics
ISBN 13 :
Total Pages : 78 pages
Book Rating : 4.3/5 (556 download)

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Book Synopsis Introduction to Non Parametric Methods through R Software by : Editor IJSMI

Download or read book Introduction to Non Parametric Methods through R Software written by Editor IJSMI and published by International Journal of Statistics and Medical Informatics. This book was released on 2022-09-30 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Process Simulation and Optimization in Sustainable Logistics and Manufacturing

Author : Pawel Pawlewski
Publisher : Springer
ISBN 13 : 3319073478
Total Pages : 182 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Process Simulation and Optimization in Sustainable Logistics and Manufacturing by : Pawel Pawlewski

Download or read book Process Simulation and Optimization in Sustainable Logistics and Manufacturing written by Pawel Pawlewski and published by Springer. This book was released on 2014-06-12 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to present qualitative aspects of logistics operations and supply chain management which help to implement the sustainable policy principles in the companies and public sector’s institutions. Authors in individual chapters address the issues related to reverse network configuration, forward and reverse supply chain integration, CO2 reduction in transportation, improvement of the production operations and management of the recovery activities. Some best practices from different countries and industries are presented. This book will be valuable to both academics and practitioners wishing to deepen their knowledge in the field of logistics operations and management with regard to sustainability issues.

Bayesian Networks In Fault Diagnosis: Practice And Application

Author : Baoping Cai
Publisher : World Scientific
ISBN 13 : 9813271507
Total Pages : 418 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Bayesian Networks In Fault Diagnosis: Practice And Application by : Baoping Cai

Download or read book Bayesian Networks In Fault Diagnosis: Practice And Application written by Baoping Cai and published by World Scientific. This book was released on 2018-08-24 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals with various uncertainty problems. This model is increasingly utilized in fault diagnosis.This unique compendium presents bibliographical review on the use of BNs in fault diagnosis in the last decades with focus on engineering systems. Subsequently, eleven important issues in BN-based fault diagnosis methodology, such as BN structure modeling, BN parameter modeling, BN inference, fault identification, validation, and verification are discussed in various cases.Researchers, professionals, academics and graduate students will better understand the theory and application, and benefit those who are keen to develop real BN-based fault diagnosis system.

Analysis of Safety Data of Drug Trials

Author : Ton J. Cleophas
Publisher : Springer
ISBN 13 : 3030058042
Total Pages : 217 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Analysis of Safety Data of Drug Trials by : Ton J. Cleophas

Download or read book Analysis of Safety Data of Drug Trials written by Ton J. Cleophas and published by Springer. This book was released on 2019-02-26 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 2010, the 5th edition of the textbook, "Statistics Applied to Clinical Studies", was published by Springer and since then has been widely distributed. The primary object of clinical trials of new drugs is to demonstrate efficacy rather than safety. However, a trial in humans which does not adequately address safety is unethical, while the assessment of safety variables is an important element of the trial. An effective approach is to present summaries of the prevalence of adverse effects and their 95% confidence intervals. In order to estimate the probability that the differences between treatment and control group occurred merely by chance, a statistical test can be performed. In the past few years, this pretty crude method has been supplemented and sometimes, replaced with more sophisticated and better sensitive methodologies, based on machine learning clusters and networks, and multivariate analyses. As a result, it is time that an updated version of safety data analysis was published. The issue of dependency also needs to be addressed. Adverse effects may be either dependent or independent of the main outcome. For example, an adverse effect of alpha blockers is dizziness and this occurs independently of the main outcome "alleviation of Raynaud 's phenomenon". In contrast, the adverse effect "increased calorie intake" occurs with "increased exercise", and this adverse effect is very dependent on the main outcome "weight loss". Random heterogeneities, outliers, confounders, interaction factors are common in clinical trials, and all of them can be considered as kinds of adverse effects of the dependent type. Random regressions and analyses of variance, high dimensional clusterings, partial correlations, structural equations models, Bayesian methods are helpful for their analysis. The current edition was written for non-mathematicians, particularly medical and health professionals and students. It provides examples of modern analytic methods so far largely unused in safety analysis. All of the 14 chapters have two core characteristics, First, they are intended for current usage, and they are particularly concerned with that usage. Second, they try and tell what readers need to know in order to understand and apply the methods. For that purpose, step by step analyses of both hypothesized and real data examples are provided.

Quantile Regression in Clinical Research

Author : Ton J. Cleophas
Publisher : Springer Nature
ISBN 13 : 3030828409
Total Pages : 283 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Quantile Regression in Clinical Research by : Ton J. Cleophas

Download or read book Quantile Regression in Clinical Research written by Ton J. Cleophas and published by Springer Nature. This book was released on 2022-01-17 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantile regression is an approach to data at a loss of homogeneity, for example (1) data with outliers, (2) skewed data like corona - deaths data, (3) data with inconstant variability, (4) big data. In clinical research many examples can be given like circadian phenomena, and diseases where spreading may be dependent on subsets with frailty, low weight, low hygiene, and many forms of lack of healthiness. Stratified analyses is the laborious and rather explorative way of analysis, but quantile analysis is a more fruitful, faster and completer alternative for the purpose. Considering all of this, we are on the verge of a revolution in data analysis. The current edition is the first textbook and tutorial of quantile regressions for medical and healthcare students as well as recollection/update bench, and help desk for professionals. Each chapter can be studied as a standalone and covers one of the many fields in the fast growing world of quantile regressions. Step by step analyses of over 20 data files stored at extras.springer.com are included for self-assessment. We should add that the authors are well qualified in their field. Professor Zwinderman is past-president of the International Society of Biostatistics (2012-2015) and Professor Cleophas is past-president of the American College of Angiology(2000-2002). From their expertise they should be able to make adequate selections of modern quantile regression methods for the benefit of physicians, students, and investigators.

Big Data and Knowledge Sharing in Virtual Organizations

Author : Gyamfi, Albert
Publisher : IGI Global
ISBN 13 : 1522575200
Total Pages : 336 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Big Data and Knowledge Sharing in Virtual Organizations by : Gyamfi, Albert

Download or read book Big Data and Knowledge Sharing in Virtual Organizations written by Gyamfi, Albert and published by IGI Global. This book was released on 2019-01-25 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge in its pure state is tacit in nature—difficult to formalize and communicate—but can be converted into codified form and shared through both social interactions and the use of IT-based applications and systems. Even though there seems to be considerable synergies between the resulting huge data and the convertible knowledge, there is still a debate on how the increasing amount of data captured by corporations could improve decision making and foster innovation through effective knowledge-sharing practices. Big Data and Knowledge Sharing in Virtual Organizations provides innovative insights into the influence of big data analytics and artificial intelligence and the tools, methods, and techniques for knowledge-sharing processes in virtual organizations. The content within this publication examines cloud computing, machine learning, and knowledge sharing. It is designed for government officials and organizations, policymakers, academicians, researchers, technology developers, and students.