Peter WG Tennant
Scholar

Peter WG Tennant

Google Scholar ID: P_bY90gAAAAJ
Leeds Institute for Data Analytics, University of Leeds
Causal InferenceEpidemiologyMaternal and Child HealthObesityDiabetes
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Citations & Impact
All-time
Citations
4,129
 
H-index
25
 
i10-index
42
 
Publications
20
 
Co-authors
0
 
Contact
Emailenquiries@causal.training
Publications
2 items
Meta-analyses of dietary exposures must consider energy adjustment: recommendations from a meta-scientific review
2025
Cited
0
How can the use of different modes of survey data collection introduce bias? A simple introduction to mode effects using directed acyclic graphs (DAGs)
2025
Cited
0
Resume (English only)
Academic Achievements
  • Established the Introduction to Causal Inference course in 2017; Internationally recognized for his research in causal inference.
Research Experience
  • Focuses on adapting and introducing causal inference methods into applied health and social science research.
Background
  • Associate Professor of Health Data Science; Co-lead of The Alan Turing Institute’s Causal Inference Interest Group; Renowned public speaker and educator.
Co-authors
0 total
Co-authors: 0 (list not available)