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# Overall agenda - PowerPoint PPT Presentation

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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## PowerPoint Slideshow about ' Overall agenda' - phuc

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Presentation Transcript

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

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

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

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