Responsible Data Analysis for Population Health Management Fall course
- Start date:
- 16 October 2017
- Duration:
- 5 days
- Working as:
- General practitioner, Resident physician, Medical specialist, (Academic) researcher, PhD, Geriatric, Nurse, Nurse practitioner
Accreditations
- ABAN:
- Requested
PHM requires evidence, which is often based on analysis of empirical, population-based data. Solid analysis based on various public health statistics and clinical indicators need to be carried out. This requires a thorough understanding of epidemiological and statistical concepts. In this course students will learn the pros and cons of various statistical methods. We will focus on choosing the appropriate methods, corresponding to the research questions, discuss how these methods can be carried out and the interpretation of the results. This week will be a mixture of theory and applications.
Overall aim of the course (in terms of knowledge, application and attitude of the students):
After course students:
- Know various statistical and epidemiological concepts needed for PHM
- Know the pros and cons of various statistical methods,
- Can choose the appropriate methods in commonly PHM research situations.
- Know the basics of costeffectiveness analysis
- Are able to discuss the interpretation of the statistical results in the context of PHM
- Are able to formulate recommendations based on statistical outcomes
- Have developed a constructive critical attitude towards various statistical interpretations
Embedding in total PHM curriculum
This course is the 2nd course in data-analysis track. It is recommended that students have followed the courses “Fundamentals of Population Health Management: Moving from Volume to Value” and “Study Design and Risk Parameters”. The current course will be followed by a third course on “Predictive Modeling”.
Faculty:
- Mar Rodriguez-Girondo PhD (Medical Statistics, LUMC)
- Prof Saskia Le Cessie PhD (Clinical Epidemiology, LUMC)
- Wilbert van den Hout PhD (Medical Decision Making, LUMC)
Coordinators:
- Prof Ewout Steyerberg PhD (Medical Statistics & Medical Decision Making, LUMC)
- Prof Marc Bruijnzeels PhD (Public Health & Primary Care, LUMC)
Monday 16 October 2017
Room 318
09.00 – 10.45 Introduction to Biostatistics. Basic review
M. Rodríguez-Girondo
10.45 – 11.00 Coffee break
11.00 – 12.30 Reproducible research: avoiding optimism and bias
M. Rodríguez-Girondo
12.30 – 13.30 Lunch break
13.30 – 15.30 Group assignments
15.30 – 15.45 Tea break
15.45 – 17.15 Reflection
17.15 – 18.00 Dinner
18.00 – 19.30 Capita Selecta
Tuesday 17 October 2017
Room 259
09.00 – 10.45 Introduction to regression models
M. Rodríguez-Girondo
10.45 – 11.00 Coffee break
11.00 – 12.30 Performing regression models: why and when
M. Rodríguez-Girondo
12.30 – 13.30 Lunch break
13.30 – 15.30 Group assignments
15.30 – 15.45 Tea break
15.45 – 17.15 Reflection
17.15 – 18.00 Dinner
18.00 – 19.30 Capita Selecta
Wednesday 18 October 2017
Room 316
09.00 – 10.45 Basics of time-to-event data
M. Rodríguez-Girondo
10.45 – 11.00 Coffee break
11.00 – 12.30 Hazard regression models
M. Rodríguez-Girondo
12.30 – 13.30 Lunch break
13.30 – 15.30 Group assignments
15.30 – 15.45 Tea break
15.45 – 17.15 Reflection
17.15 – 18.00 Dinner
18.00 – 19.30 Capita Selecta
The program for Thursday and Friday will follow as soon as possible.
LUMC Campus
Turfmarkt 995e etage, 2511 DV Den Haag| Health care professional | € 1.250,00 | |
| PhD (candidate) | € 625,00 | |
| Student for free |
