FoSSA: Fundamentals of Statistical Software & Analysis

Course Information
Meet the Teaching Team 
Course Dataset 1

Course Dataset 2

MODULE A1: INTRODUCTION TO STATISTICS USING R, STATA, AND SPSSA1.1 What is Statistics?

A1.2.1a Introduction to Stata

A1.2.2b: Introduction to R

A1.2.2c: Introduction to SPSS

A1.3: Descriptive Statistics

A1.4: Estimates and Confidence Intervals

A1.5: Hypothesis Testing

A1.6: Transforming Variables

End of Module A11 Quiz

MODULE A2: POWER & SAMPLE SIZE CALCULATIONSA2.1 Key Concepts

A2.2 Power calculations for a difference in means

A2.3 Power Calculations for a difference in proportions

A2.4 Sample Size Calculation for RCTs

A2.5 Sample size calculations for crosssectional studies (or surveys)

A2.6 Sample size calculations for casecontrol studies

End of Module A21 Quiz

MODULE B1: LINEAR REGRESSIONB1.1 Correlation and Scatterplots

B1.2 Differences Between Means (ANOVA 1)

B1.3 Univariable Linear Regression

B1.4 Multivariable Linear Regression

B1.5 Model Selection and FTests

B1.6 Regression Diagnostics

End of Module B11 Quiz

MODULE B2: MULTIPLE COMPARISONS & REPEATED MEASURESB2.1 ANOVA Revisited – PostHoc Testing

B2.2 Correcting For Multiple Comparisons

B2.3 Twoway ANOVA

B2.4 Repeated Measures and the Paired TTest

B2.5 Repeated Measures ANOVA

End of Module B21 Quiz

MODULE B3: NONPARAMETRIC MEASURESB3.1 The Parametric Assumptions

B3.2 MannWhitney U Test

B3.3 KruskalWallis Test

B3.4 Wilcoxon Signed Rank Test

B3.5 Friedman Test

B3.6 Spearman’s Rank Order Correlation

End of Module B31 Quiz

MODULE C1: BINARY OUTCOME DATA & LOGISTIC REGRESSIONC1.1 Introduction to Prevalence, Risk, Odds and Rates

C1.2 The ChiSquare Test and the Test For Trend

C1.3 Univariable Logistic Regression

C1.4 Multivariable Logistic Regression

End of Module C11 Quiz

MODULE C2: SURVIVAL DATAC2.1 Introduction to Survival Data

C2.2 KaplanMeier Survival Function & the Log Rank Test

C2.3 Cox Proportional Hazards Regression

C2.4 Poisson Regression

End of Module C21 Quiz
Participants 311
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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