• Scope of site

• Essential prior learning

  • Introduction to Essential Prior Learning

  • Data Protection

  • Resources to consider before you get started with Statistics

    • Key Learning in Statistics Tutorials – Preliminary Training
    • Locations Within the University of Edinburgh Where SPSS Has Been Installed on PCs
    • Getting to Know SPSS
    • Statistical Significance, Statistical Power and Some Facts about p-values
    • Avoiding bad practise in statistics and exploring study design
      • Scientific integrity
      • Misuse of Statistics: Some Statistical Blunders Discovered Within Refereed Publications and Some Statistical Phenomena to Look out for
      • Understanding Different Study Designs
      • Retrospective Power Calculations Versus Examination of Confidence Intervals
    • Getting to Grips with Hypothesis Testing
    • SPSS Spreadsheets for Practise
      

  • Sample Size Calculations
    

  • Some Useful Flowcharts

  • Moving on to Data Preparation

    • Arranging Data in Spreadsheets for Statistical Analysis
    • Representing Socioeconomic Status
    • Working With Subsets of the Original Dataset – Filtering Data
    • Merging Similar Datasets

  • Moving forward with statistics: Many more resources

  • Useful Textbooks

    • Useful Textbooks: Paper Copies
    • Useful Textbooks: Electronic Copies

• Questionnaire Design

• Frequently Asked Questions on Statistical Methods for Presentation and Analysis of Data

  • Introduction to FAQs

  • Useful concepts in auditing, numeracy, mathematics and statistics

    • The exponential and logarithmic functions
    • Basic notation and rounding
    • Understanding the Proper Meaning of an Audit
    • Concepts and Rules of Probability

  • Summarizing data

    • Simple Descriptive Statistics
    • Odds Ratios, Relative Risks and the Number Needed to Treat
    • Summarizing and Analyzing Missing Data
    • Cross-Tabulating Frequencies or Percentages
    • Confidence Intervals

  • Data visualization

    • Forest Plots
    • Graphical Presentation of Data

  • Procedures involving statistical hypothesis testing

    • Tests of Normality
    • One-Tailed versus Two-Tailed Hypotheses Tests
    • Hypothesis Tests for a Single Group of Continuous Data
    • Testing for associations concordance and correlations
      • Correlation Coefficients – Linear and Non-Linear and Concordance
      • Linear Regression Analysis (Simple and Multiple)
      • Measuring the degree of association between variables
      • Hypothesis Tests for Categorical Data
    • Comparing groups
      • Tests of Homescedacity (or ‘Equality’ of Variance)
      • Survival Analysis
      • Hypothesis Tests for Comparing Two Groups of Measurement or Ordinal Data
      • Analysis of Variance (ANOVA), Analysis of Covariance (ANCOVA)
    • Measuring consistency, agreement and reliabilty
      • Cronbach’s Alpha: Assessing Reliability
      • Statistical indices for measuring agreement and consistency between groups of categorical and measurement data
      • The Bland-Altman Method
    • Diagnostic testing
    • Cross-Over Trials

  • Report writing and hypothesis testing

    • Presenting the Statistical Methods Section in the Final Write-Up
    • Presenting the Findings and Conclusions of Statistical Hypothesis Tests

  • Epidemiology for the Rusty and Comparing a Study Cohort with a General Population

  • Critical Appraisals and Systematic Reviews, Including Meta-Analyses

  • Time Series Analysis

  • Cluster Analysis: Arranging Data into Categories to Find a Natural Classification System

• Reporting Guidelines

• About the author

• Book an appointment

Contents by Margaret MacDougall is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.