Abstract: This course provides a theoretical overview and detailed practical knowledge on the statistical analysis of socio-psychological data. In short: Carrying out epidemiological (clinical) research yourself but also evaluating the results of others requires a thorough knowledge of the principles of epidemiological data analysis. Biostatistics play an important role in this regard. Biostatistical methods and techniques make it possible to group and interpret and quantify the results of epidemiological studies (descriptive statistics) (infernal statistics). Concepts such as probability distributions, accuracy, point estimation, confidence interval, assumption, p-value, etc. need to be looked at. Vanderbilt Health Connect provides real-time access to clinical data for your adult and pediatric patients who are seen at Vanderbilt. The service is made available to communal doctors and advanced practitioners, clinical staff and non-clinical office staff. Our mobile app provides convenient and secure access to clinical notes, medical records, preparation plans and much more: Basic Regulation and Organization of Clinical Research (eBROK) In accordance with national agreements, clinical researchers must take the course «Basic Regulation and Organization of Clinical Research» (eBROK; www.NFUbrokacademie.nl) to obtain the corresponding certificate Quick description: This four-day course explains the fundamental concepts of mixed models. This is an applied course, which is why the focus is on interpreting the results of mixed model analyses and not on the mathematical background.
The course focuses on the two main applications of mixed models: multi-plane analysis and longitudinal data analysis. As of May 1, 2016, CTTC has been managing material transfer agreements on behalf of Vanderbilt University and Vanderbilt Medical Center via MTAShare. The exchange of equipment with other institutions and companies does not change, except that applicants must indicate whether they are employed by VU or VUMC. Objective and Content: The course explains the statistical techniques of biomedical data analysis. It provides an introduction to design aspects, data aggregation and presentation methods, estimation, confidence intervals, and hypothesis testing, including multivariate regression methods to assess association. Although the course focuses a bit on methods and examples of clinical research, it should also be useful to experimental researchers. The focus is on practical application and interpretation, not theory. . . .