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  • Produktbild: Clinical Data Analysis on a Pocket Calculator
  • Produktbild: Clinical Data Analysis on a Pocket Calculator

Clinical Data Analysis on a Pocket Calculator Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.03.2018

Abbildungen

XXIII, 65 illus., 24 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Verlag

Springer

Seitenzahl

334

Maße (L/B/H)

23,5/15,5/2 cm

Gewicht

551 g

Auflage

Second Edition 2016

Sprache

Englisch

ISBN

978-3-319-80074-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.03.2018

Abbildungen

XXIII, 65 illus., 24 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Verlag

Springer

Seitenzahl

334

Maße (L/B/H)

23,5/15,5/2 cm

Gewicht

551 g

Auflage

Second Edition 2016

Sprache

Englisch

ISBN

978-3-319-80074-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Clinical Data Analysis on a Pocket Calculator
  • Produktbild: Clinical Data Analysis on a Pocket Calculator

  • Preface

    I Continuous Outcome Data                                                                                                                     

    1 Data Spread, Standard Deviations               

    2 Data Summaries: Histograms, Wide and Narrow Gaussian Curves     

    3 Null-Hypothesis Testing with Graphs

    4 Null-Hypothesis Testing with the T-table   

    5 One-Sample Continuous Data (One-Sample T-Test, One-Sample Wilcoxon  

    6 Paired Continuous Data (Paired T-Test, Two-Sample Wilcoxon Signed Rank Test)

    7 Unpaired Continuous Data (Unpaired T-Test, Mann-Whitney)

    8 Linear Regression (Regression Coefficients, Correlation Coefficients, and their   Standard Errors)

    9 Kendall-Tau Regression for Ordinal Data  

    10 Paired Continuous Data, Analysis with Help of Correlation Coefficients         

    11 Power Equations           

    12 Sample Size Calculations            

    13 Confidence Intervals

    14 Equivalence Testing instead of Null-Hypothesis Testing      

    15 Noninferiority Testing instead of Null-Hypothesis Testing      

    16 Superiority Testing instead of Null-Hypothesis Testing

    17 Missing Data Imputation            

    18 Bonferroni  Adjustments             

    19 Unpaired Analysis of Variance (ANOVA)               

    20 Paired Analysis of Variance (ANOVA)     

    21 Variability Analysis for One or Two Samples             

    22 Variability Analysis for Three or More Samples     

    23 Confounding 

    24 Propensity Score and Propensity Score Matching for Multiple Confounders      

    25 Interaction        

    26 Accuracy and Reliability Assessments     

    27 Robust Tests for Imperfect Data               

    28 Non-linear Modeling on a Pocket Calculator          

    29 Fuzzy Modeling for Imprecise and Incomplete Data            

    30 Bhattacharya Modeling for Unmasking Hidden Gaussian Curves    

    31 Item Response Modeling instead of Classical Linear Analysis of Questionnaires           

    32 Meta-Analysis                1

    33 Goodness of Fit Tests for Identifying Nonnormal Data        

    34 Non-Parametric Tests for Three or More Samples (Friedman and Kruskal-Wallis)         

     

    II Binary Outcome Data

     

    35 Data Spread: Standard Deviation, One Sample Z- Test, One Sample Binomial  

        Test   

    36 Z-Tests            

    37 Phi Tests for Nominal Data        

    38 Chi-Square Tests           

    39 Fisher Exact Tests Convenient for Small Samples 

    40 Confounding 

    41 Interaction     

    42 Chi-square Tests for Large Cross-Tabs    

    43 Logarithmic Transformations, a Great Help to Statistical Analyses  

    44 Odds Ratios, a Short-Cut for Analyzing Cross-Tabs             

    45 Logodds, the Basis of Logistic Regression               

    46 Log Likelihood Ratio Tests for the Best Precision  

    47 Hierarchical Loglinear Models for Higher Order Cross-Tabs               

    48 McNemar Tests for Paired Cross-Tabs     

    49 McNemar Odds Ratios

    50 Power Equations           

    51 Sample Size Calculations                            

    52 Accuracy Assessments

    53 Reliability Assessments               

    54 Unmasking Fudged Data            

    55 Markov Modeling for Predictions outside the Range of Observations               

    56 Binary Partitioning with CART (Classification and Regression Tree) Methods               

    57 Meta-Analysis               

    58 Physicians' Daily Life and the Scientific Method   

    59 Incident Analysis and the Scientific Method          

    60 Cochran Tests for Large Paired Cross-Tabs            

    Index