Line Academic Scientific Training Year 2, 2019-2020 - Studiegids - Universiteit Leiden
Academic shaping involves the development of a critical attitude coupled with tempered enthusiasm. This involves learning to look beyond the boundaries of the professional field. Scientific shaping involves both the application of science and the communication of research findings. An academic is capable of acquiring scientific knowledge, evaluating that knowledge, assimilating it, and communicating that knowledge to others.
In the module Academic and Scientific Training in year 2, students learn the most important methods of clinical scientific research, statistical analysis, and critical reading. In this module the relationship between the doctor and the pharmaceutical industry plays a central role. The module represents 40% of the final grade for the line.
The student is able to indicate how to design and execute a (simple) epidemiological research project.
The student can describe the several advantages and disadvantages of the basic study methods (follow-up, case-control, observational vs. intervention studies).
The student can perform simple statistical analyses.
The student can interpret simple statistical and epidemiological analyses.
The student is able to ask critical and relevant questions when reading medical literature in its broadest sense and is able suggest answers to these questions.
Documents from Blackboard:
JAMA User's Guides to the medical literature.
General considerations for clinical trials - European Medicines Agency.
Florey C du V. Sample sizes for beginners. BMJ 1993;306'1191-4.
Tripepi et al How to Deal with Continuous and Dichotomic Outcomes in Epidemiological Research: Linear and Logistic Regression Analyse. Nephron Clin Pract 2011;118;c399-c3406. Read until page 402.
Altman DG, Bland JM. Time to event (survival) data. BMJ 1998; 317: 468-469.
Bland JM, Altman DG. Survival probabilities (the Kaplan-Meier method). BMJ 1998; 317: 1572.
Bland JM Althan DG. The log rank test. BMJ 2004; 328, 1073.
Course material from each lecture (see Blackboard).
Prof. dr. F. W. Dekker 071-5265230.