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FoSSA: Fundamentals of Statistical Software & Analysis

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  1. Course Information

    Meet the Teaching Team
  2. Course Dataset 1
  3. Course Dataset 2
  4. MODULE A1: INTRODUCTION TO STATISTICS USING R, STATA, AND SPSS
    A1.1 What is Statistics?
  5. A1.2.1a Introduction to Stata
  6. A1.2.2b: Introduction to R
  7. A1.2.2c: Introduction to SPSS
  8. A1.3: Descriptive Statistics
  9. A1.4: Estimates and Confidence Intervals
  10. A1.5: Hypothesis Testing
  11. A1.6: Transforming Variables
  12. End of Module A1
    1 Quiz
  13. MODULE A2: POWER & SAMPLE SIZE CALCULATIONS
    A2.1 Key Concepts
  14. A2.2 Power calculations for a difference in means
  15. A2.3 Power Calculations for a difference in proportions
  16. A2.4 Sample Size Calculation for RCTs
  17. A2.5 Sample size calculations for cross-sectional studies (or surveys)
  18. A2.6 Sample size calculations for case-control studies
  19. End of Module A2
    1 Quiz
  20. MODULE B1: LINEAR REGRESSION
    B1.1 Correlation and Scatterplots
  21. B1.2 Differences Between Means (ANOVA 1)
  22. B1.3 Univariable Linear Regression
  23. B1.4 Multivariable Linear Regression
  24. B1.5 Model Selection and F-Tests
  25. B1.6 Regression Diagnostics
  26. End of Module B1
    1 Quiz
  27. MODULE B2: MULTIPLE COMPARISONS & REPEATED MEASURES
    B2.1 ANOVA Revisited - Post-Hoc Testing
  28. B2.2 Correcting For Multiple Comparisons
  29. B2.3 Two-way ANOVA
  30. B2.4 Repeated Measures and the Paired T-Test
  31. B2.5 Repeated Measures ANOVA
  32. End of Module B2
    1 Quiz
  33. MODULE B3: NON-PARAMETRIC MEASURES
    B3.1 The Parametric Assumptions
  34. B3.2 Mann-Whitney U Test
  35. B3.3 Kruskal-Wallis Test
  36. B3.4 Wilcoxon Signed Rank Test
  37. B3.5 Friedman Test
  38. B3.6 Spearman's Rank Order Correlation
  39. End of Module B3
    1 Quiz
  40. MODULE C1: BINARY OUTCOME DATA & LOGISTIC REGRESSION
    C1.1 Introduction to Prevalence, Risk, Odds and Rates
  41. C1.2 The Chi-Square Test and the Test For Trend
  42. C1.3 Univariable Logistic Regression
  43. C1.4 Multivariable Logistic Regression
  44. End of Module C1
    1 Quiz
  45. MODULE C2: SURVIVAL DATA
    C2.1 Introduction to Survival Data
  46. C2.2 Kaplan-Meier Survival Function & the Log Rank Test
  47. C2.3 Cox Proportional Hazards Regression
  48. C2.4 Poisson Regression
  49. End of Module C2
    1 Quiz

Jennifer Carter

FoSSA Course Co-Director and lecturer for Module A1

Jennifer is an Associate Course Director for the MSc Global Health Science & Epidemiology in Oxford Population Health. She also directs short courses in epidemiology and statistics. Her research examines the measurement and influence of adiposity, dietary intake and other vascular risk factors with the risk of cardiovascular disease in large, prospective studies around the globe.

Tracy Bye

FoSSA Course Co-Director and lecturer for Modules B2 and B3

Tracy is a Lecturer in Animal Science at the Royal Agricultural University. Previously she was the Deputy Director of Education in the Department of Oncology at the University of Oxford. She has several years experience of teaching research methods and statistics to students in the life sciences.

Neil Wright

Lecturer for Module A1

Neil Wright is a medical statistician working on the China Kadoorie Biobank in Oxford Population Health. His main research interest is the effective application of established and novel methods in epidemiology and related research.

Imen Hammami

Lecturer for Module B1

Imen is a Senior Statistician in Oxford Population Health.

Steph Ross

Lecturer for Module C1

Stephanie Ross is a Senior Teaching and Research Fellow in Oxford Population Health. Stephanie’s current research focuses on major risk factors for adult mortality in low- and middle- income countries.

Sofia Massa

Lecturer for Module C1

Sofia is the Oxford Clinical Trials Research Unit Lead Statistician at NDORMS. She is interested in developing sound and rigorous statistical models for estimating parameters of interest from clinical trials data and health research data.

Yasmina Al Ghadban

Lecturer for Module A2

Yasmina is a first year DPhil student from Beirut, Lebanon, under the supervision of Dr Jane Hirst. Her research interests broadly involve using health data and predictive modeling for disease prevention and early detection, particularly in diseases that impact women’s, reproductive, sexual and maternal health. For her DPhil, she is hoping to combine her engineering background with her passion for improving reproductive health to develop predictive models of adverse outcomes of gestational diabetes using electronic health records.

Mohammad Umer Sharif Shohan

Lecturer for Module A1

Mohammad is a 2nd year DPhil student at Nuffield Department of Medicine. He is currently working on developing a machine learning model to understand cellular interaction from single cell transcriptomics data. His research interest lies on machine learning, immunology, big data, mathematical modeling etc. In his free time, he enjoys reading, traveling and exploring new places and ideas

Callum O’Neill

Lecturer for Module A1

Callum is a first year DPhil student on the Genomic Medicine and Statistics program. He has a particular focus on large datasets and an interest in researching the genetic basis of both monogenic and polygenic disease.

Tuan-Anh Tran

Lecturer for Module A2

Tuan-Anh is a DPhil student at the Nuffield Department of Medicine. His research focuses on applying machine learning approaches to solve problems in biomedical and chemical science, especially in antimicrobial resistance.

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ROLAND ACHI

Hello everyone! It feels awesome to be here. It is a great honour and opportunity for me. Looking forward to having a rich learning and interactive experience here.

Joshua

Greetings, everyone! I’m thrilled to be a part of this fantastic learning journey. I’m eager to maximize our collective potential and make the most of our time together.

Abigail

I’m super excited to know that I’ll be under the tutelage of such great personalities.
I look forward to learning from you all

Henry

Hello everyone, I am so glad to be part of this great learning process. I look forward to making to best out of it with you all.

Mark

Thank you greatly for the opportunity.

Olamide

I am so glad there is an opportunity like this. I hope to utilize it well.

Deborah

Hi everyone, excited to be here

Ndalichako

Hello I’m glad to join dis fantastic program

Goodnews

So excited to be taught by the very best!

Innocent Kitandu

Super thrilled to be part of the program. Thank you for the opportunity!

Malik

Thank you so much for this opportunity

Juliet

Thank you for this opportunity. Looking forward to interacting with you all.

Uebari

Glad to be here.

Ben

Thank you so much for giving me this opportunity and happy to be part of this course.

Alhassane

I am delighted to attend this short course and eager to apply the new skills I learn here to enhance my daily work. As a researcher and clinical trialist, I am also keen to explore opportunities for collaboration with Lecturer Sofia Messa. I am excited about the possibilities that this important training holds… Read more »

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