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Overall agenda

Overall agenda. Part 1 and 2. Part 1: Basic statistical concepts and descriptive statistics summarizing and visualising data describing data measures of location and variation exploring data types of data population and sample Part 2: Statistical Distributions concepts

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Overall agenda

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  1. Overall agenda Part 1 and 2 • Part 1: Basic statistical concepts and descriptive statistics • summarizing and visualising data • describing data • measures of location and variation • exploring data • types of data • population and sample • Part 2: Statistical Distributions • concepts • important distributions: • Normal distribution and related • other important continuous distributions (life-time and survival distributions) • discrete distributions (binomial, Poisson, count data) | Introduction to Biostatistics | Ekkehard Glimm | 9/10 December 2013 | Part 1

  2. Overall agenda Part 3 and 4 • Part 3: Estimation and confidence intervals • point estimates • interval estimates • point and interval estimates for various types of data • prediction intervals • Part 4: Hypothesis testing • Concept • important statistical tests: • t-tests (one/paired sample, two sample with and without equal variances) • F-tests and ANOVA • testing parameters in more general models • testing hypotheses about count and binomial data | Introduction to Biostatistics | Ekkehard Glimm | 9/10 December 2013 | Part 1

  3. Overall agenda Part 5 and 6 • Part 5: Regression and correlation • method of least squares and simple linear regression • Multiple linear regression • correlation • extensions: ANOVA as regression; logistic, Poisson and non-linear regression • Part 6: design of experiments and sample size calculations • types of experiments: clinical trials, observational studies, other planned experiments (parallel group designs and cross-over designs, factorial experiments) • principles of experimentation: blinding, randomization, stratification • operating characteristics and sample size assessment | Introduction to Biostatistics | Ekkehard Glimm | 9/10 December 2013 | Part 1

  4. Overall agenda Part 7 and 8 • Part 7: time-to-event analysis • why this is special and important: survival times and censoring • Kaplan-Meier curve • hazard ratio • the log-rank test • extensions: Cox regression • Part 8: Statistics in clinical trials • phases of Clinical Development: • pre-clinical research and transition Preclinical-Clinical • clinical Development Phase I • clinical development: Phases II-IV • describing statistical methods and reporting statistical results | Introduction to Biostatistics | Ekkehard Glimm | 9/10 December 2013 | Part 1

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