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An >eR-BioStat ITP workshop:

Machine learning  for real world data and the >eR-BioStat platform

 

Organized jointly by the Moi University and the

>eR-BioStat ITP project

Moi University, Kenya

06/10/24-12/10/24 & 13/07/25-19/07/25

& 08/06/26-12/06/26

About
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/ about

About the workshop:

The workshop is a joint activity of the NAMBARI and the DSSD Programs and the >eR-BioStat ITP project. The workshop consists of two parts: a training course, Machine learning  for real world data (as a part of the NAMBARI and DSSD Programs) and a development workshop as a part of the >eR-BioStat ITP project.

The VLIR-UOS International Training Program: the eR-BioStat ITP - Development of local E-learning platforms in (bio)statistics & data science:

Biostatistics and Statistics are the building stones which are essential for scientific research work. Without good and wide knowledge of Biostatistics and Statistics (from here onward we use (bio)statistics), the research output is typically of low quality and could be misleading.  Many capacity building projects are devoted to capacity building of (bio)statistics via the development of new education programs in the South. However, typically, after the end of the project and the project budget, it becomes difficult to maintain the project deliverables and to maintain the education program developed within the project in the same quality level. The eR-BioStat ITP project is developed to overcome this problem and to ensure a sustainable and robust education program for (bio)statistics in the south by providing an E-learning platform which offers (free) education materials, ready to be used in the class, in (bio)statistics. Further, within the eR-BioStat ITP project we train the participants from different countries to develop their local version of the >eR-BioStat platform and in this way we will increase ownership and sustainability of the project outcome in the South after the end of the project. The output of the eR-BioStat ITP project can be easily transferred to local universities that are not included in the current project.

The NAMBARI and the DSSD Programs in Moi University: 

NAMBARI: the Moi-Brown Partnership for HIV Biostatistics Training, is a research training program which aims to build biostatistics capacity for HIV research at Moi University. It is a partnership between Moi University and Brown University, and is focused on both long- and short-term training for students, faculty and technical staff in Kenya. This program is supported by the Fogarty International Center at the US National Institutes of Health (D43TW010050).

DSSD: The overarching goal of the Data Science for Social Determinants (DSSD) pre- and post-doctoral training program is to develop future leaders in data science who are equipped to develop and analyze data to better leverage deep and rich survey as well as internet and other digitized data sources that can help us capture information on the social determinants of health. Such data can provide unique illumination into factors on where we live, work, and play which can be used to better understand and address health disparities across noncommunicable disease, infectious disease and injuries in the Kenyan context. This program is supported by the  US National Institutes of Health (1U2RTW012121-01).

 

Information about other eR-BioStat ITP workshops:

Link to our workshop schedule.

Moi_University_logo.jpg
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LOGO_eR_2019.jpg

/ SCHEDULE (ITP3 - 2024)

A link to all workshop materials is available here

06/10

Sunday

  • Welcome & Introduction.

  • The eR-BioStat ITP project: An introduction.

  • Presentations about activities in statistics & data science in local universities.

  • Expectation and tasks for 05/07/24 & 06/07/24

  • Lunch.

07/10-09/10

Monday-Wednesday

  • Training course in statistics and data science: Machine learning  for real world data. For the schedule look here.

10/10

Thursday

Morning

  • The >eR-Biostat platform (1): general structure and content.

  • Using R Studio & R markdown for content development.

  • Example of one course: foundations of statistical inference.

Afternoon

  • Content development using R Studio & R markdown.

  • Presentations of participants (per university): statistics and data science activities in the local institute.

11/10

Saturday

Morning:

  • Development of an online course: R markdown, Github and Wix.

  • The basic concepts  behind the >eR-BioStat platform: zero cost & open source education.

Afternoon:

  • Development of an online course: R markdown, Github and Wix.

  • The next step: what do we want to do in the next workshop ?

  • Presentations of the participants (per university): statistics and data science activities in the local institute.

  • Summary and discussion of the workshop.

/ SCHEDULE (ITP7 - 2025)

A link to all workshop materials is available here

(scroll down to the bottom of the page)

13/07

Sunday

  • Lunch.

  • Welcome & Introduction.

  • The eR-BioStat ITP project:  current status and  progress.

  • Expectation and tasks for 17/07/25, 18/07/25 & 19/07/25

14/07-16/07

  • Training course in statistics and data science: Machine learning  for real world data. For the schedule look here.

17/07

Thursday

Morning

  • The >eR-Biostat platform (1): development of  the course "basic concepts of inference".

  • Using R Studio & R markdown for content development (offline and online)

Afternoon

  • Content development using R Studio & R markdown (offline and online).

  • The >eR-Biostat platform (2): development of  the course "basic concepts of inference".

18/07

Friday

Morning

  • The >eR-Biostat platform (3): development of  a  local website for the course the course "basic concepts of inference" using the WIX platform.

Afternoon

  • The >eR-Biostat platform (4): development of  a  local website for the course the course "basic concepts of inference" using the WIX platform.

19/07

Saturday

Morning

  • Summary and network activities.

/ SCHEDULE (ITP10 - 2026)

A link to all workshop materials is available here

(scroll down to the bottom of the page)

08/07

08:45-09:00: Registration.

09:00-09:15: Ann Mwangi and Ziv Shkedy: Wellcome and short introduction.

09:15-17:00  Inigo BERMEJO DELGADO (UHasselt, Belgium): Short course- Introduction

                       to Machine learning.

Monday

09/07

Tuesday

   09:00-17:00  Inigo BERMEJO DELGADO (UHasselt, Belgium): Short course: Introduction

                          to Machine learning.

10/07

08:30-08:45: Registration.

08:45-09:00: Ann Mwangi (Moi University) Welcome.

 

09:00-09:45 Dr. Amos Kipkorir Langat  (JKUAT): Bayesian Spatio-Temporal Mapping of Tuberculosis in Kenya: Detecting Hotspots, Trends, and Excess Risk.

 

09:45-10:30 Beryl Ang'iro Anyango (Karatina): Modeling High dimensional Multivariate Survival data with Clustering using Frailty and Copula models.

 

10:30-11:00 Tea break

 

11:00-11:45 Carol OGIRA (UHasselt) Advancing Causal Machine Learning Methods for Heterogeneous Treatment Effects Estimation.

 

11:45-12:30 Anita Ogero (Aga Kahn) Developing a Screening Index to Stratify Risk of Low Cognitive Performance Among Children in Kilifi, Kenya: Evidence from Three Cross-Sectional Studies.

 

12:30-14:00: Lunch

 

14:00-14:45 Bernard OSANGIR (UHasselt) Integrative Analysis of High-Dimensional Multiomics Data Using Unsupervised Learning: Factor Analysis and Clustering Approaches.

 

14:45-15:30 George Agogo  (CDC- Kenya) Random Survival Forests Under Predictor Measurement Error: Insights From Real and Simulated Epidemiologic Data.

 

15:30-16:00  Tea break

16:00-16:30 Caroline Mugo (JKUAT) Hierarchical Modeling of Longitudinal Infectious Disease Data with applications to HIV and Vector-Borne Diseases.

 

17:00+ : Alumni and friends network event

Wednesday

11/07

Thuersday

09:00-09:45 James Orwa (Aga Khan) Leveraging Diverse Health Data Streams: Predictive Models, Causal Inference, and Mental Health Outcomes.

 

09:45-10:30 David Angwenyi (MMUST) Statistical Models and their application to economics.

 

10:30-11:00 Tea break

 

11:00-12:00 Ann Mwangi (Moi): TBA

12:00-14:00: Lunch

14:00-16:00  Leyla Kodalci (Uhasselt), Ann Mwangi (Moi) and Ziv Shkedy (UHasselt) Collaboration opportunities and plans.

12/07

Friday

09:00-17:00 Ziv Shkedy and Bernard  OSANGIR (UHasselt, Belgium)L The >eR-Biostat platform (3):

                      development of  a  local website and for the course  "basic concepts of inference" using the

                      WIX platform.

Schedule

/contact

Link to course materials:

Use the following link to download the workshop  materials.,

Contact person >eR-Biostat platform:

Ziv Shkedy (UHasselt, Belgium)

Email: ziv.shkedy@uhasselt.be

Contact persons for the workshop

Ann Mawngi (Moi University, Kenya).

Email: annwsum@gmail.com   

Ziv Shkedy (Hasselt University, Belgium)

Email: ziv.shkedy@uhasselt.be 

CONTACT persons for the ICP connect program in UHasselt
 

Leyla Kodalci (UHasselt, Belgium)

Email: leyla.kodalci@uhasselt.be

Niel Hens (UHasselt, Belgium)

Email: niel.hens@uhasselt.be 

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