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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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Presentation Transcript
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

    • 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


Overall agenda1
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


Overall agenda2
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


Overall agenda3
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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