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Scope and use of site
Table of Contents
Why have a table of contents?
Contents
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 practice 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
Flowcharts for choosing hypothesis tests
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) and Multivariate Analysis of Variance (MANOVA)
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
INTRODUCTION TO REPORTING GUIDELINES
Non-English Translations
DIAGNOSTIC ACCURACY STUDIES
Qualitative research
Reporting statistical findings
THE GRADE GUIDELINES
Observational studies
Systematic reviews, including meta-analyses: reporting guidelines
RANDOMIZED CONTROLLED TRIALS
Reporting standards for controlled trials
Evidence-Based Behavioural Medicine
Biosciences
Social and behavioural sciences
About the author
Book an appointment
Acknowledgements
SISTER SITE: MEDICAL STATISTICS CALS
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