Responsible Data Analysis for Population Health Management Fall course

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