IPH-STAT: Biostatistics

IPH-STAT: Biostatistics

COURSE DESCRIPTION

This course offers a comprehensive and progressive coverage of the critical science of biostatistics. It generally follows Epidemiology, the two topics being closely related. Biostatistics tools (software) are studied in a separate course.

Biostatistics is concerned with applying statistical methods and mathematical principles to analyze and evaluate research data in public health, medicine, environmental science and biology. By using statistical concepts, biostatistics interprets experimental results and collected data, then provides explanations and recommendations as a result of their research.

  • Credit value: 3 (US standard) | 6 (ECTS standard)
  • Indicative duration (full time): 4-6 weeks
  • Indicative duration (part-time): 5-8 week
  • Certificate: Yes

COURSE METHODOLOGY

This course is based on standard EUCLID methodology. Students may refer to the following resources:

Academic Guidelines (HQ version)
Academic Guidelines (most recent version even if unofficial)
Student Orientation Guidelines (most recent version even if unofficial)
Zotero instructions for EUCLID students
Grammarly instructions for EUCLID students

COURSE OBJECTIVES | LEARNING OUTCOMES

At the end of this course, the student will be able to:

  • explain sampling errors
  • discuss parametric and non-parametric tests
  • explain the use of t-test and f-test, etc
  • discuss regression, cooperation and ANOVA
  • discuss the precise meaning of p-value with examples
  • discuss type I and type II errors
  • articulate steps and methods related to biostatistical analysis in public health.

REQUIRED TEXTS AND MATERIAL

Course material is provided in the form of embedded videos, audio MP3s, and/or downloadable PDFs.

COURSE INSTRUCTOR | ASSOCIATED FACULTY

mm Moyosola Bamidele, PhD
Moyosola is a thorough statistician, economist, academic, monitoring and evaluation expert, programs evaluation with several years of work experience applying statistical and econometric skills to various data analysis and modelling. He has impeccable training and research skills in rasch measurement, econometrics, financial modelling, mortality risks, statistical modeling, research methodology and statistical computing. 

He is well versed in range of statistical and econometric packages such as Tableau, SPSS, EViews, ODK, CommCareHQ, Excel, Minitab, STATA, R, GenStat, CSPro, EpiData, Winbugs, Winsteps, Facets and EpiInfo for research modeling and analysis. He holds a BSc (Hons) degree in Statistics, MSc Biostatistics of the University of Ilorin, MPH and a PhD degree in Biostatistics with research focus on stochastic modelling of mortality risks. He also holds USAID/Measure Evaluation Diploma in Leadership development. He is an associate member American Statistical Association, Institute of Chartered Economists, Nigeria Institute of Management. He has published over 20 research papers in international peer-reviewed journals and made presentations at both local and international conferences

COURSE SYLLABUS | ACCESS TO 7 PERIODS