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Understanding Biostatistics in Medical Literature
Understanding Biostatistics in Medical Literature
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1.Efficient Design & Analysis of...
2.Introduction to the Design of...
3.Preference Mapping in Practice
4.Advanced Experimental Designs
5.Generalized Procrustes Analysis
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Introduction to Statistics

Introduction to Statistics

  • Fundamental Tools in Statistics
  • Research and Development

    Research and Development

  • The Analysis of Variance
  • Introduction to the Design of Experiments (DOE)
  • Sample Size and Power Determination
  • Advanced Experimental Designs
  • Screening Designs
  • Optimization Designs and Response Surface Models
  • Fundamental Tools in Statistics
  • Nonparametric Tests
  • Efficient Design & Analysis of Shelf-Life & Stability Studies
  • Modeling Techniques

    Modeling Techniques

  • Modelling Strategies
  • Simple and Multiple Linear Regression Techniques
  • Regression Models for Categorical Data
  • Regression on Principal Components and PLS Regression
  • Classification and Regression Trees
  • Life, Reliability and Survival Models
  • Nonlinear Regression
  • Life Sciences

    Life Sciences

  • Sample Size and Power Determination
  • Fundamental Tools in Statistics
  • Understanding Biostatistics in Medical Literature
  • Regression Models for Life Sciences
  • Regression Models for Categorical Data
  • Design of Experiments

    Design of Experiments

  • Introduction to the Design of Experiments (DOE)
  • Advanced Experimental Designs
  • Screening Designs
  • Optimization Designs and Response Surface Models
  • Market Research & Business

    Market Research & Business

  • Marketing and Segmentation
  • Simple and Multiple Linear Regression Techniques
  • Regression Models for Categorical Data
  • Preference Mapping in Practice
  • Multivariate Statistical Methods

    Multivariate Statistical Methods

  • Multivariate Data Analysis 2: Advanced Methods 2012-06-21
  • Multivariate Data Analysis 1 - Classical Methods
  • Multivariate Data Analysis 1 - Classical Methods. Through cases studies selected from different fields of activity (R&D, marketing, business) participants will discover original applications of classical multivariate methods, judicious combinations of methods as well as advanced methods derived from classical ones to address complex research questions.


    Participants who have attended the previous session will be given the opportunity to refresh their knowledge and to deepen their understanding of multivariate methods by learning new approaches and strategies.', STICKY, CAPTION, 'Details', WIDTH, 600, CLOSECLICK, SHADOW, TEXTSIZE, '12px', ANCHOR, 'a24104', NOANCHORWARN, ANCHORY, 20, ANCHORX, -20 );">Multivariate Data Analysis 2 - Advanced Methods
  • Multivariate Data Analysis - 5 days
  • Generalized Procrustes Analysis
  • Preference Mapping in Practice
  • Sensory Evaluation

    Sensory Evaluation

  • Generalized Procrustes Analysis
  • Design and Analysis of Discrimination Tests
  • Panel Performance Assessment
  • Statistical Analysis of Consumer Test Data
  • Preference Mapping in Practice
  • Engineering

    Engineering

  • Introduction to the Design of Experiments (DOE)
  • Advanced Experimental Designs
  • Screening Designs
  • Optimization Designs and Response Surface Models
  • Repeatability and Reproducibility Studies (Gage R&R)
  • Fundamental Tools in Statistics
  • Regression on Principal Components and PLS Regression
  • Efficient Design & Analysis of Shelf-Life & Stability Studies
  • Good Laboratory Practices

    Good Laboratory Practices

  • Introduction to the Analysis of Measurement Uncertainty
  • Repeatability and Reproducibility Studies (Gage R&R)
  •