INFORMATION Invitation Letter (old!) Access map 1 Access map 2 MATERIALS Handouts (zip) Case Problems Lecture 1 Lecture 2 Lecture 3 Practics (Excel) Lecture 5 Lectures 6,7 Lectures 8 Lectures 9 Lectures 10 Lectures 11 DATA (all zipped) cells.xls beer.xls chemline.xls bloodpressure.xls schoolbus.xls bile.xls children.xls depression.xls mice.xls pancreatitis.xls salaries.xls 27.11.2009 The first course is finished now! Thank you for the participation and "satisfaction survey" :)! The information about the next sessions and conditions will be provided soon. 9.11.2009 New Timetable Week 1 Tuesday 10.11.2009   9:00 - 12:00 (passed) Wednesday 11.11.2009 9:00 - 12:00 (passed) Thursday 12.11.2009  9:00 - 12:00 (passed) Week 2 Tuesday 24.11.2009   9:00 - 12:00 (passed) Wednesday 25.11.2009 9:00 - 12:00 (passed) Thursday 26.11.2009 14:00 - 17:00(passed) The cource will take place at Sanger room, 1st floor of Edison building of CRP-Sante. Please see the acess maps: photo, scheme Abstract The course gives an overview of the basics of applied statistics for researchers, engineers and students. It is specifically dedicated to those, who having no special knowledge in statistics, use or would like to use statistical methods in their practice. The course is built in the way that even a person with no background in statistics is able to follow it. Special attention is given to understanding of the basic rules and objects of a statistical investigation and their application. For this purpose examples will be given throughout the lectures. The course is divided into 6 three-hour sections, each followed by a small test for a self control. Practical parts (conducted in Excel) are integrated into the lectures, allowing immediate application of the theory. Plan  Section I. TUESDAY November 10 Lecture 1. Data presentation and numerical measures     • Data and statistics     • Descriptive statistics: tabular and graphical presentation     • Descriptive statistics: numerical measures (mean, median, standard deviation,variance, correlation)     • z-score. Chebyshev's theorem. Detection of outliers Lecture 2. Introduction to probability     • Introduction to probability     • Calculation of probability     • Bayes' theorem  Section II. WEDNESDAY November 11 Lecture 3. Probability distributions     • Discrete probability distributions (uniform, binomial, Poisson, hypergeometric)     • Continues probability distributions (uniform, Gaussian, exponential) Lecture 4. Practical work with Excel     • Case problem. Usage of the information about distribution  Section III. THURSDAY November 12 Lecture 5. Sampling statistics     • Sampling and sampling distribution     • Central limit theorem     • Means of sum of two normal random variables. Lecture 6. Statistical inference about mean (part 1)     • Interval estimation for the means     • Hypothesis tests and decision making     • Statistical inference about means and proportions of two populations     • Case problem. Formulation and test of hypotheses  Section IV. TUESDAY November 24 Lecture 7. Statistical inference about mean (part 2)     • Nonparametric methods for the comparison of means     • Number of replicates     • Means of sum, product and ratio of two random variable     • Hypothesis test in the case of multiple experiments Lecture 8. Statistical inferences about variance     • Interval estimation for the variance     • Hypothesis test for the variances of two population     • Tests of goodness of fit and independenc  Section V. WEDNESDAY November 25 Lecture 9. Analysis of variance (ANOVA)     • One-way ANOVA     • Two-way ANOVA Lecture 10. Topics in applied data analysis     • Multi-factor ANOVA     • Experimental design     • Principle component analysis (PCA)  Section VI. THURSDAY November 26 Lecture 11. Regression     • Linear regression. Estimation of the parameters     • Nonlinear regression     • Quality control     • Forecasting Lecture 12. Final remarks     • Verification of the tests     • Questions For further information:       Dr. Petr NAZAROV          Microarray Center, CRP-Sante, Luxembourg          Tel. (+352) 26 970 283          petr.nazarov(at)crp-sante.lu       Aurelia DERISCHEBOURG          CRP-Sante, Luxembourg          Tel. (+352) 26 970 893          aurelia.derischebourg(at)crp-sante.lu
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