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Clinical Data Analysis on a Pocket Calculator

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Cover of 'Clinical Data Analysis on a Pocket Calculator'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Spread, Standard Deviations
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    Chapter 2 Data Summaries, Histograms, Wide and Narrow Gaussian Curves
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    Chapter 3 Null-Hypothesis Testing with Graphs
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    Chapter 4 Null-Hypothesis Testing with the T-Table
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    Chapter 5 One-Sample Continuous Data (One-Sample T -Test, One-Sample Wilcoxon Test)
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    Chapter 6 Paired Continuous Data (Paired T-Test, Wilcoxon Signed Rank Test)
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    Chapter 7 Unpaired Continuous Data (Unpaired T-Test, Mann-Whitney)
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    Chapter 8 Linear Regression (Regression Coefficient, Correlation Coefficient and Their Standard Errors)
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    Chapter 9 Kendall-Tau Regression for Ordinal Data
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    Chapter 10 Paired Continuous Data, Analysis with Help of Correlation Coefficients
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    Chapter 11 Power Equations
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    Chapter 12 Sample Size Calculations
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    Chapter 13 Confidence Intervals
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    Chapter 14 Equivalence Testing Instead of Null-Hypothesis Testing
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    Chapter 15 Noninferiority Testing Instead of Null-Hypothesis Testing
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    Chapter 16 Superiority Testing Instead of Null-Hypothesis Testing
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    Chapter 17 Missing Data Imputation
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    Chapter 18 Bonferroni Adjustments
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    Chapter 19 Unpaired Analysis of Variance
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    Chapter 20 Paired Analysis of Variance
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    Chapter 21 Variability Analysis for One or Two Samples
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    Chapter 22 Variability Analysis for Three or More Samples
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    Chapter 23 Confounding
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    Chapter 24 Propensity Scores and Propensity Score Matching for Assessing Multiple Confounders
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    Chapter 25 Interaction
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    Chapter 26 Accuracy and Reliability Assessments
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    Chapter 27 Robust Tests for Imperfect Data
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    Chapter 28 Non-linear Modeling on a Pocket Calculator
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    Chapter 29 Fuzzy Modeling for Imprecise and Incomplete Data
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    Chapter 30 Bhattacharya Modeling for Unmasking Hidden Gaussian Curves
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    Chapter 31 Item Response Modeling Instead of Classical Linear Analysis of Questionnaires
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    Chapter 32 Meta-analysis of Continuous Data
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    Chapter 33 Goodness of Fit Tests for Identifying Nonnormal Data
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    Chapter 34 Non-parametric Tests for Three or More Samples (Friedman and Kruskal-Wallis)
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    Chapter 35 Data Spread: Standard Deviations, One Sample Z-Test, One Sample Binomial Test
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    Chapter 36 Z-Test for Cross-Tabs
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    Chapter 37 Phi Tests for Nominal Data
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    Chapter 38 Chi-square Tests
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    Chapter 39 Fisher Exact Tests Convenient for Small Samples
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    Chapter 40 Confounding
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    Chapter 41 Interaction
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    Chapter 42 Chi-Square Tests for Large Cross-Tabs
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    Chapter 43 Logarithmic Transformations, a Great Help to Statistical Analyses
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    Chapter 44 Odds Ratios, a Short-Cut for Analyzing Cross-Tabs
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    Chapter 45 Logodds, the Basis of Logistic Regression
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    Chapter 46 Log Likelihood Ratio Tests for the Best Precision
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    Chapter 47 Hierarchical Loglinear Models for Higher Order Cross-Tabs
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    Chapter 48 McNemar’s Tests for Paired Cross-Tabs
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    Chapter 49 McNemar’s Odds Ratios
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    Chapter 50 Power Equations
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    Chapter 51 Sample Size Calculations
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    Chapter 52 Accuracy Assessments
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    Chapter 53 Reliability Assessments
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    Chapter 54 Unmasking Fudged Data
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    Chapter 55 Markov modeling for Predicting Outside the Range of Observations
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    Chapter 56 Binary Partitioning for CART (Classification and Regression Tree) Methods
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    Chapter 57 Meta-analysis of Binary Data
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    Chapter 58 Physicians’ Daily Life and the Scientific Method
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    Chapter 59 Incident Analysis and the Scientific Method
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    Chapter 60 Cochran Q-Test for Large Paired Cross-Tabs
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Title
Clinical Data Analysis on a Pocket Calculator
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-27104-0
ISBNs
978-3-31-927103-3, 978-3-31-927104-0
Authors

Cleophas, Ton J., Zwinderman, Aeilko H.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 364 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 364 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 4%
Researcher 10 3%
Student > Master 7 2%
Professor 5 1%
Student > Bachelor 5 1%
Other 14 4%
Unknown 309 85%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 2%
Engineering 6 2%
Physics and Astronomy 5 1%
Environmental Science 4 1%
Computer Science 4 1%
Other 22 6%
Unknown 317 87%