Clinical Data Analysis on a Pocket Calculator : Understanding the Scientific Methods of Statistical Reasoning and Hypothesis Testing - Cleophas, Ton J.; Zwinderman, Aeilko H.; SpringerLink (Online service) (Cham : Springer International Publishing : Imprint: Springer, 2016)
Preface.-I Continuous Outcome Data -- Data Spread, Standard Deviations -- Data Summaries: Histograms, Wide and Narrow Gaussian Curves -- Null-Hypothesis Testing with Graphs -- Null-Hypothesis Testing with the T-table -- One-Sample Continuous Data (One-Sample T-Test, One-Sample Wilcoxon -- Paired Continuous Data (Paired T-Test, Two-Sample Wilcoxon Signed Rank Test) -- Unpaired Continuous Data (Unpaired T-Test, Mann-Whitney) -- Linear Regression (Regression Coefficients, Correlation Coefficients, and their Standard Errors) -- Kendall-Tau Regression for Ordinal Data -- Paired Continuous Data, Analysis with Help of Correlation Coefficients -- Power Equations -- Sample Size Calculations -- Confidence Intervals -- Equivalence Testing instead of Null-Hypothesis Testing -- Noninferiority Testing instead of Null-Hypothesis Testing -- Superiority Testing instead of Null-Hypothesis 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 -- Non-linear 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 -- Meta-Analysis -- Goodness of Fit Tests for Identifying Nonnormal Data -- Non-Parametric Tests for Three or More Samples (Friedman and Kruskal-Wallis) -- II Binary Outcome Data.-Data Spread: Standard Deviation, One Sample Z- Test, One Sample Binomial Test -- Z-Tests -- Phi Tests for Nominal Data -- 38 Chi-Square Tests -- Fisher Exact Tests Convenient for Small Samples -- Confounding -- Interaction -- Chi-square Tests for Large Cross-Tabs -- Logarithmic Transformations, a Great Help to Statistical Analyses -- Odds Ratios, a Short-Cut for Analyzing Cross-Tabs -- Log odds, the Basis of Logistic Regression -- Log Likelihood Ratio Tests for 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 -- 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 -- Meta-Analysis -- Physicians' Daily Life and the Scientific Method -- Incident Analysis and the Scientific Method -- Cochran Tests for Large Paired Cross-Tabs.-Index. .
Keywords: Medicine; Entomology; Pharmacy; Statistics .; Biomedicine, general; Entomology; Pharmacy; Statistics for Life Sciences, Medicine, Health Sciences