| MEDI Biostatistics | Course | INF | |
|---|---|---|---|
| Lecturers : |
Prof. Dr. med. Clemens Fitzek
eMail
|
Term | 3 |
| Course Classification : | Bachelor Medizininformatik | CH | 2 |
| Language : | Deutsch | Type | VÜ |
| Type of examination : | PL | Credits | 3 |
| Method of evaluation : | written examination 90 min | ||
| Requirements : | |||
| Cross References : | |||
| Previous knowledges : | |||
| Aids and special features : | |||
| Teaching aims : | Knowledge: The students * Know the standard procedures for collecting and analyzing medical data. Understanding: The students * understand the relationship between sample analyses and random experiments. Applying: Students * can apply the methods they have learned to isolated statistical tasks. Analyzing: Students * can analyze complex relationships using different methods. * can select suitable test procedures on the basis of error discussion. * can distinguish between plausible and implausible results. Synthesizing: Students * are able to derive statistically reliable statements from medical and experimental data. * are able to interpret and check the validity of external study results and develop suggestions for improvement. | ||
| Contents : | Stochastics: Concept of probability, conditional probability, Bayesian formula, random variables, distributions, expected value, standard deviation, central limit theorem Statistics: Descriptive statistics: histograms, mean values, dispersion, median, box plot, scatter diagrams, regression line, correlation coefficient. Continuous distributions (especially normal distribution), hypothesis tests, probability of error, confidence intervals, survival analysis | ||
| Literature : | Weiß C: Basiswissen Medizinische Statistik, 7th edition, Springer. | ||