Pricing

Module 1 –
Virtual
(3 hours)

• Introduction (Savarese G)
• Why to conduct a meta-analysis? (30 min)(Rosano G)
• How to conduct a meta-analysis: Literature search (2.5 hours)(Savarese G)

Savarese G
Rosano G

Module 2 –
Virtual
(3 hours)

• Methods – Theoretical concepts(statistical models, i.e. [fixed effect, random effects] measure of effects, test of hypothesis, confidence intervals, prediction intervals, heterogeneity, publication bias, subgroup analysis, sensitivity analysis and meta-regression)

Orsini N
Savarese G

Module 3
2 full-days Face to Face event/Hybrid (for those who cannot travel)

Day 1 – Afternoon (3 hours)

• Hands on (3 hours):
1. Introduction and key elements of Stata
2. Create a dataset on Stata
3. Data checking
4. Estimatation and interpretation of the statistical models
5. Data visualization (Forest Plot)
6. Statistical assessment of heterogeneity

Day 2 – Morning

• Supervised lab (3 hours)

Day 2 – Afternoon (3 hours)

• Hands on (1.5 h):
1. Publication bias (Funnel plot)
2. Sensitivity analysis (Subgroup analysis and leave one out meta-analysis )
3. Meta-regression

• Supervised lab (1.5 hours)

Day 3 – Morning

• Inspiratory talks (chair Rosano)
1. Meta-analysis on SGLT2i in heart failure (Vaduganathan M)(20+10 min)
2. EMPEROR-Pooled (Anker S)(20+10 min)

• Critical appraisal of published meta-analyses (1 hour)(Savarese, Orsini and Rosano)
• How to write a meta-analysis (30 min)(Savarese)
• What to consider when publishing a scientific paper (Metra)

Orsini N
Savarese G
Rosano G
Anker S
Vaduganathan M