BMOE061 Experiment planning and optimization

Faculty of Medicine
Autumn 2012
Extent and Intensity
1/2. 2 credit(s) (plus 1 credit for an exam). Type of Completion: zk (examination).
Teacher(s)
prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)
RNDr. Jiří Jarkovský, Ph.D. (lecturer)
RNDr. Jan Mužík, Ph.D. (assistant)
RNDr. Eva Gelnarová (assistant)
Guaranteed by
prof. RNDr. Ladislav Dušek, Ph.D.
Institute of Biostatistics and Analyses – Other Departments for Educational and Scientific Research Activities – Faculty of Medicine
Contact Person: prof. RNDr. Ladislav Dušek, Ph.D.
Supplier department: Institute of Biostatistics and Analyses – Other Departments for Educational and Scientific Research Activities – Faculty of Medicine
Prerequisites (in Czech)
Pedpokladem je pehled o základních statistických metodách, základní užití MS Excel. Kurz je nabízen studentm a všem lenm akademické obce Sekce biologie na Pírodovdecké fakult MU a postgraduálním studentm a zamstnancm Lékaské fakulty MU. Pihlášky ádných student Lékaské fakulty jsou možné pokud jejich poet nepesáhne kapacitu kurzu.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The course with orientation on practical aspects of experimental design and its optimization for biology, biomedicine and clinical research including clinical trials. Experimental strategy for dose-response, toxicological and ecotoxicological experiments. Sampling strategy for time series and trend analysis. Optimization of sample size for descriptive and comparative studies. Sample size and experimental design for clinical trials.
Syllabus
  • Types of data and their usage in descriptive and comparative studies, optimization of samples size basic principles.
  • Sampling designs for different types of experiments, sampling design for time series. Random sampling, stratification etc.
  • Aim of the analysis, analysis accuracy, and economical aspects of sampling.
  • Sample size for summary statistics, sample size for comparison of two samples, parametric and non-parametric methods. Sample size for complicated experimental design, analysis of variance in planning of experimental design. Sample size for correlation analysis. Samples size and experimental design for survival analysis. Experimental design for simple and advanced regression models. Experimental design for dose-response experiments.
  • Optimization of sample size for different phases of clinical trials; problems of misinterpretation and problematic results in case of bad sample size and experimental design. Problems of optimization of investigative studies in biology and medicine, under and overestimated sample size, pseudo replications.
  • Sampling strategy and sample size for multivariate analyses.
  • Practical notes on optimization of experimental design. Optimizing according to type of experiment. The art of the correct statistical questioning.
Literature
  • McFaden, Eleanor. Managenent of data in clinical trials. 1st ed. New York: John Willey & Sons, 1998. xi, 210s, ISBN 0-471-30316-X
  • Pocock, Stuart J. Clinical trials: a practical approach. New York: John Willey & Sons, 1983., 266s., ISBN 0-471-90155-5
Teaching methods
Theoretical lectures supplemented by commented examples; students are encouraged to ask quaetions about discussed topics.
Assessment methods
Course is finished by written exam (credit) aimed on principles, prerequisties and correct selection of methods for solution of practical examples.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is taught: in blocks.
Note related to how often the course is taught: odpolední nebo dopolední bloky po max. 15 posl.
Teacher's information
http://www.cba.muni.cz/vyuka/
The course is also listed under the following terms Autumn 2002, Spring 2003, Autumn 2003, Spring 2004, Autumn 2004, Spring 2005, Autumn 2005, Spring 2006, Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Spring 2013.
  • Enrolment Statistics (Autumn 2012, recent)
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