FoSSA: Fundamentals of Statistical Software & Analysis
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Course Information
Meet the Teaching Team -
Course Dataset 1
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Course Dataset 2
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MODULE A1: INTRODUCTION TO STATISTICS USING R, STATA, AND SPSSA1.1 What is Statistics?
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A1.2.1a Introduction to Stata
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A1.2.2b: Introduction to R
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A1.2.2c: Introduction to SPSS
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A1.3: Descriptive Statistics
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A1.4: Estimates and Confidence Intervals
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A1.5: Hypothesis Testing
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A1.6: Transforming Variables
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End of Module A11 Quiz
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MODULE A2: POWER & SAMPLE SIZE CALCULATIONSA2.1 Key Concepts
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A2.2 Power calculations for a difference in means
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A2.3 Power Calculations for a difference in proportions
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A2.4 Sample Size Calculation for RCTs
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A2.5 Sample size calculations for cross-sectional studies (or surveys)
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A2.6 Sample size calculations for case-control studies
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End of Module A21 Quiz
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MODULE B1: LINEAR REGRESSIONB1.1 Correlation and Scatterplots
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B1.2 Differences Between Means (ANOVA 1)
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B1.3 Univariable Linear Regression
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B1.4 Multivariable Linear Regression
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B1.5 Model Selection and F-Tests
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B1.6 Regression Diagnostics
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End of Module B11 Quiz
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MODULE B2: MULTIPLE COMPARISONS & REPEATED MEASURESB2.1 ANOVA Revisited – Post-Hoc Testing
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B2.2 Correcting For Multiple Comparisons
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B2.3 Two-way ANOVA
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B2.4 Repeated Measures and the Paired T-Test
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B2.5 Repeated Measures ANOVA
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End of Module B21 Quiz
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MODULE B3: NON-PARAMETRIC MEASURESB3.1 The Parametric Assumptions
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B3.2 Mann-Whitney U Test
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B3.3 Kruskal-Wallis Test
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B3.4 Wilcoxon Signed Rank Test
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B3.5 Friedman Test
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B3.6 Spearman’s Rank Order Correlation
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End of Module B31 Quiz
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MODULE C1: BINARY OUTCOME DATA & LOGISTIC REGRESSIONC1.1 Introduction to Prevalence, Risk, Odds and Rates
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C1.2 The Chi-Square Test and the Test For Trend
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C1.3 Univariable Logistic Regression
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C1.4 Multivariable Logistic Regression
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End of Module C11 Quiz
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MODULE C2: SURVIVAL DATAC2.1 Introduction to Survival Data
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C2.2 Kaplan-Meier Survival Function & the Log Rank Test
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C2.3 Cox Proportional Hazards Regression
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C2.4 Poisson Regression
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End of Module C21 Quiz
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A Note about the Fossa Certificate
The quiz below is designed to test your knowledge of the material covered in Module A1. Best of luck!
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Question 1 of 11
1. Question
We measured the BMI of a group of individuals. Can you identify the median from the following values: 25, 24, 31, 38, 18, 14, 16, 25, 22, 25, 24, 27, 42, 30, 32?
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Question 2 of 11
2. Question
If I measure age (in years) in a sample of 10,000 women, what type of variable would this be classified as?
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Question 3 of 11
3. Question
What should we always do before beginning any statistical analysis?
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Question 4 of 11
4. Question
We measured the BMI of a group of individuals. Can you identify the mode from the following values:
25, 24, 31, 38, 18, 14, 16, 25, 22, 25, 24, 27, 42, 30, 32?CorrectIncorrect -
Question 5 of 11
5. Question
We measured the BMI of a group of individuals. Can you identify the range from the following values:
25, 24, 31, 38, 18, 14, 16, 25, 22, 25, 24, 27, 42, 30, 32?CorrectIncorrect -
Question 6 of 11
6. Question
What is the population mean?
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Question 7 of 11
7. Question
What does the standard deviation represent?
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Question 8 of 11
8. Question
What does the standard error show?
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Question 9 of 11
9. Question
How would you interpret the following result for systolic blood pressure measured in a sample population: Mean SBP = 132.87mmHg, with a 95% confidence interval of 131.72mmHg – 134.82mmHg?
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Question 10 of 11
10. Question
What two pieces of information do you need to estimate the standard error?
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Question 11 of 11
11. Question
We measured the age of 10,000 women in the UK. How would you suggest we look at the distribution of age across the sample population?
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