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Statistical design of experiments 2020-2021

University of Modena and Reggio Emilia

Department of Biomedical, Metabolic and Neural Sciences

PhD modul: Clinical an Experimental Medicine – CEM – Medicina Clinica e Sperimentale

Course: Statistical design of experiments

Academic year 2020 – 2021

 

Director of the course: Prof. Giuseppe Biagini

Course coordinator: Olivera Djuric, MD PhD

 

 

Course Programme:

 

Day

Topic

Hours

Monday

31/5/2021

Part I

Lecture: Principles of causation: causal inference, directed acyclic graphs, relation between variables (bias, confounding, effect modification)

 

Group assignment - problem solving

 

16:00-18:00

 

 

18:00-19:00

Tuesday

01/6/2021

Part I

Lecture: Principles of statistical inference

Group assignment - statistical vs. clinical inference

 

Part II

Lecture: Sample size and power calculation

Practical exercise on calculating power and sample size for experimental study

 

Part III

Lecture: Choice of adequate statistical test

Group assignment - problem solving

 

16:00-17:15

 

 

 

17:15-18:15

 

 

 

 

18:15-19:00

Thursday

03/06/2021

Part I

Lecture: Overview of epidemiological study designs

Part II

Lecture: Basics of experimental studies

Theoretical exercise on types of experimental studies and types of clinical trials

 

Part III

Lecture: Statistical analysis in experimental design

 

16:00-16:45

16:45-18:15

 

 

 

 

 

18:15-19:00

Friday

04/6/2021

Part I

Lecture: Basics of correlation – use and misuse

 

Part II

Lecture: Regression – basic principles

Lecture: Linear regression and multiple linear regression

 

Part III

Practical exercise in SPSS or STATA

16:00-16:45

 

 

 

16:45-18:30

 

 

 

18:30-19:00

Monday

07/6/2021

Part I

Lecture: Logistic regression – basic concepts

Lecture: Single and multiple logistic regression

 

Part II

Practical exercises in SPSS or STATA

 

16:00-17:00

17:00-18:15

 

 

18:15-19:00

Tuesday

08/6/2021

Part I

Lecture: Logistic regression – variable selection and model building

Lecture: Logistic regression – statistical adjustment – interaction and confounding

Lecture: Regression – diagnostics

 

Part II

Practical exercises in SPSS or STATA

 

16:00-18:00

 

 

 

 

 

18:00-19:00

Thursday

10/6/2021

Part I

Lecture: Analysis of variance (ANOVA), multivariate analysis of variance (MANOVA), analysis of covariance (ANCOVA), and multivariate analysis of covariance (MANCOVA)

 

Part II

Lecture: Repeated measures analysis

 

Part III

Practical exercise in SPSS or STATA

 

16:00-17:15

 

 

 

 

17:15-18:15

 

 

18:15-19:00

Friday

11/6/2021

Part I

Lecture: Basic concepts of time-to-event data

Lecture: Testing for equivalency of time distributions (comparing survival curves)

Lecture: Regression models for time-to-event data (Cox regression)

 

Part II

Practical exercise in SPSS or STATA

 

16:00-18:15

 

 

 

 

 

18:15-19:00

Monday

14/06/2021

 

Presentation and discussion of a protocol for the experimental study assigned in day one

16:00-19:00

Work in groups

General group assignment: write and present a protocol for a randomized controlled study, emphasis on statistical analysis plan and sample size calculation

≥4h

Theoretical (homework) exercises

  1. Regression
  2. Time-to-event analysis

1.5h

1.5h