Edition 
Second edition 
Descript 
1 online resource (xxiii, 334 pages) : illustrations, digital ; 24 cm 

text txt rdacontent 

computer c rdamedia 

online resource cr rdacarrier 

text file PDF rda 
Note 
Preface  I Continuous Outcome Data  Data Spread, Standard Deviations  Data Summaries: Histograms, Wide and Narrow Gaussian Curves  NullHypothesis Testing with Graphs  NullHypothesis Testing with the Ttable  OneSample Continuous Data (OneSample TTest, OneSample Wilcoxon  Paired Continuous Data (Paired TTest, TwoSample Wilcoxon Signed Rank Test)  Unpaired Continuous Data (Unpaired TTest, MannWhitney)  Linear Regression (Regression Coefficients, Correlation Coefficients, and their Standard Errors)  KendallTau Regression for Ordinal Data  Paired Continuous Data, Analysis with Help of Correlation Coefficients  Power Equations  Sample Size Calculations  Confidence Intervals  Equivalence Testing instead of NullHypothesis Testing  Noninferiority Testing instead of NullHypothesis Testing  Superiority Testing instead of NullHypothesis Testing  Missing Data Imputation  Bonferroni Adjustments  Unpaired Analysis of Variance (ANOVA)  Paired Analysis of Variance (ANOVA)Variability Analysis for One or Two Samples  22 Variability Analysis for Three or More Samples  Confounding  Propensity Score and Propensity Score Matching for Multiple Confounders  Interaction  Accuracy and Reliability Assessments  Robust Tests for Imperfect Data  Nonlinear Modeling on a Pocket Calculator  Fuzzy Modeling for Imprecise and Incomplete Data  Bhattacharya Modeling for Unmasking Hidden Gaussian Curves  Item Response Modeling instead of Classical Linear Analysis of Questionnaires  MetaAnalysis  Goodness of Fit Tests for Identifying Nonnormal Data  NonParametric Tests for Three or More Samples (Friedman and KruskalWallis)  II Binary Outcome Data  Data Spread: Standard Deviation, One Sample Z Test, One Sample Binomial Test  ZTests  Phi Tests for Nominal Data  38 ChiSquare Tests  Fisher Exact Tests Convenient for Small Samples  Confounding  Interaction  Chisquare Tests for Large CrossTabs  Logarithmic Transformations, a Great Help to Statistical Analyses  Odds Ratios, a ShortCut for Analyzing CrossTabs  Log odds, the Basis of Logistic Regression  Log Likelihood Ratio Tests for the Best Precision  Hierarchical Loglinear Models for Higher Order CrossTabs  McNemar Tests for Paired CrossTabs  McNemar Odds Ratios  Power Equations  Sample Size Calculations  Accuracy Assessments  Reliability Assessments  Unmasking Fudged Data  Markov Modeling for Predictions outside the Range of Observations  Binary Partitioning with CART (Classification and Regression Tree) Methods  MetaAnalysis  Physicians' Daily Life and the Scientific Method  Incident Analysis and the Scientific Method  Cochran Tests for Large Paired CrossTabs  Index 

In everyone's life the day comes that medical and health care has the highest priority. It is unbelievable, that a field, so important, uses the scientific method so little. The current book is helpful for implementation of the scientific method in the daily life of medical and health care workers. From readers' comments to the first editions of this work, the authors came to realize that statistical software programs is experienced by professionals in the field as black box programs producing lots of pvalues, but little answers to scientific questions, and many readers had not been happy with that situation. The pocket calculator analyses appeared to be, particularly, appreciated, because they enabled readers for the first time to understand the scientific methods of statistical reasoning and hypothesis testing. So much so, that it started something like a new dimension in their professional world. We should add a number of statistical methods 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. With statistical software all individual data have to be included separately, a timeconsuming activity in case of large data files. Some analytical methods, for example, power calculations and required sample size calculations are difficult on a statistical software program, and easy on a pocket calculator. The reason for a rewrite was to give updated and upgraded versions of the forty chapters from the first editions, including the valuable comments of readers. Like in the textbook complementary to the current work, entitled "SPSS for Starters and 2nd Levelers" (Springer Heidelberg 2015, from the same authors), an improved structure of the chapters was produced, including background, main purpose, scientific question, schematic overview of data files, and reference sections. In addition, for the analysis of more complex data twenty novel chapters were written. We showed that, also here, a pocket calculator can be very helpful. For the readers' convenience the chapters have been reclassified according to the most basic difference in data characteristics: continuous outcome data (34 chapters), binary outcome data (26 chapters) Both hypothesized and real data examples are used to explain the sixty pocket calculator methods described. The arithmetic is of a nomorethan highschool level 
Host Item 
Springer eBooks

Subject 
Mathematical statistics


Biomedicine


Biomedicine general


Entomology


Pharmacy


Statistics for Life Sciences, Medicine, Health Sciences

Alt Author 
Zwinderman, Aeilko H., author


SpringerLink (Online service)

