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Clinical Data Analysis on a Pocket Calculator (2nd Edition)

Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing

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Publisher:

Springer

Pages: 334
Further Actions:

Recommend to library

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Hardcover - 9783319271033

29 January 2016

$109.99

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Ebook - 9783319271040

22 January 2016

$84.99

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Inmedical and health care the scientific method is little used, and statisticalsoftware programs are experienced as black box programs producing lots ofp-values, but little answers to scientific questions. The pocket...

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Inmedical and health care the scientific method is little used, and statisticalsoftware programs are experienced as black box programs producing lots ofp-values, but little answers to scientific questions. The pocket calculatoranalyses appears to be, particularly, appreciated, because they enable medicaland health professionals and students for the first time to understand thescientific methods of statistical reasoning and hypothesis testing. So much so,that it can start something like a new dimension in their professional world. Inaddition, anumber of statistical methods like power calculations and required sample sizecalculations can be performed more easily on a pocket calculator, than using asoftware program. Also, there are some specific advantages of thepocket calculator method. You better understand what you are doing. The pocketcalculator works faster, because far less steps have to be taken, averages canbe used. The current nonmathematical book is complementary to thenonmathematical "SPSS for Starters and 2nd Levelers" (Springer HeidelbergGermany 2015, from the same authors), and can very well be used as its dailycompanion.

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The medical and health care uses the scientific method little, the book addresses how to daily use it

Statistical software programs are experienced as black boxes to non mathematiciens

All specific advantages of pocket calculators are summarized

Preface.-I Continuous Outcome Data
Data Spread, Standard Deviations
Data Summaries:Histograms, Wide and Narrow Gaussian Curves
Null-Hypothesis Testing withGraphs
Null-Hypothesis Testing with the T-table
One-Sample Continuous Data (One-SampleT-Test, One-Sample Wilcoxon
Paired Continuous Data (Paired T-Test, Two-SampleWilcoxon Signed Rank Test)
Unpaired Continuous Data (Unpaired T-Test,Mann-Whitney)
Linear Regression (Regression Coefficients, CorrelationCoefficients, and their   StandardErrors)
Kendall-Tau Regressionfor Ordinal Data
Paired Continuous Data, Analysis with Help of CorrelationCoefficients
Power Equations
Sample Size Calculations
ConfidenceIntervals
Equivalence Testing instead of Null-Hypothesis Testing
NoninferiorityTesting instead of Null-Hypothesis Testing
Superiority Testing instead ofNull-Hypothesis Testing
Missing Data Imputation
Bonferroni  Adjustments
Unpaired Analysis of Variance(ANOVA)
Paired Analysis of Variance (ANOVA).-VariabilityAnalysis for One or Two Samples
22 Variability Analysis for Three or More Samples.-Confounding
Propensity Score and Propensity Score Matching for MultipleConfounders
Interaction
Accuracy and Reliability Assessments
Robust Testsfor Imperfect Data
Non-linear Modeling on a Pocket Calculator
FuzzyModeling for Imprecise and Incomplete Data.-Bhattacharya Modeling for Unmasking Hidden Gaussian Curves
Item ResponseModeling instead of Classical Linear Analysis of Questionnaires
Meta-Analysis
Goodness of Fit Tests for Identifying Nonnormal Data.-Non-Parametric Tests for Three or More Samples (Friedman and Kruskal-Wallis)
IIBinary Outcome Data.-Data Spread: StandardDeviation, One Sample Z- Test, One Sample Binomial Test
Z-Tests
Phi Testsfor Nominal Data
38 Chi-Square Tests.-Fisher Exact Tests Convenient for Small Samples
Confounding
Interaction
Chi-squareTests for Large Cross-Tabs
Logarithmic Transformations, a Great Help to StatisticalAnalyses
Odds Ratios, a Short-Cut for AnalyzingCross-Tabs
Log odds, the Basis of Logistic Regression
Log Likelihood Ratio Testsfor the Best Precision
Hierarchical Loglinear Models for Higher Order Cross-Tabs
McNemar Tests for Paired Cross-Tabs.-McNemar Odds Ratios
Power Equations
Sample Size Calculations
AccuracyAssessments
Reliability Assessments
Unmasking Fudged Data
Markov Modelingfor Predictions outside the Range of Observations
 Binary Partitioning with CART (Classificationand Regression Tree) Methods
Meta-Analysis
Physicians' Daily Life and theScientific Method
Incident Analysis and the Scientific Method
Cochran Testsfor Large Paired Cross-Tabs.-Index.         

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The authorsare well-qualified in their field. Professor Zwinderman is past-president ofthe International Society of Biostatistics (2012-2015), and Professor Cleophasis past-president of the American College of Angiology(2000-2002). From their expertise they should be able to make adequateselections of modern methods for clinical data analysis for the benefit ofphysicians, students, and investigators. The authors have been working andpublishing together for 17 years, and their research can be characterized as acontinued effort to demonstrate that clinical data analysis is not mathematicsbut rather a discipline at the interface of biology and mathematics.

The authors as professors and teachers instatistics at...

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The authorsare well-qualified in their field. Professor Zwinderman is past-president ofthe International Society of Biostatistics (2012-2015), and Professor Cleophasis past-president of the American College of Angiology(2000-2002). From their expertise they should be able to make adequateselections of modern methods for clinical data analysis for the benefit ofphysicians, students, and investigators. The authors have been working andpublishing together for 17 years, and their research can be characterized as acontinued effort to demonstrate that clinical data analysis is not mathematicsbut rather a discipline at the interface of biology and mathematics.

The authors as professors and teachers instatistics at universities in The Netherlands and France for the most part oftheir lives, are convinced that the scientific method of statistical reasoningand hypothesis testing is little used by physicians and other health workers,and they hope that the current production will help them find the appropriateways for answering their scientific questions.   

Threetextbooks complementary to the current production and written by the sameauthors are Statistics applied to clinical studies 5th edition, 2012, Machinelearning in medicine a complete overview, 2015, SPSS for starters and 2ndlevelers, 2015, all of them edited by Springer Heidelberg Germany.

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