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Write Stats: How to report your statistics - VIB session - 20/04/2012

 
     

Introduction to R - April 26, 2013 - Gent

R is a high level language especially designed for statistical calculations; and R is free! It is not difficult to work with, but some additional explanation is very convenient.

This one day training is designed for people who want to get started in using R for graphical and statistical work. You are assumed to have basic statistical knowledge including hypothesis testing, confidence intervals, t-test, ANOVA, Mann-Whitney, Kruskal-Wallis.

The course will focus on some practical examples with real datasets from various research areas. You will learn to import data, tabulate summaries, create graphs and perform basic statistical tests.

Program:

  • Introduction to the R language
  • Reading in and manipulating data
  • Summarizing data numerically and graphically
  • Elementary statistics
  • Add-on packages

You will have to bring your own laptop (with administrator rights). Registration cost for this training is €175 (VAT included). You can register here.


Introduction to statistics with R

This two day course is designed for people that want an introduction in descriptive and basic inferential statistics. The concept of hypothesis testing, confidence intervals and assumptions and interpretation of basic statistical test will be briefly discussed.
The course will focus on practical examples with real datasets from various research areas. The exercises will be performed with R. You will learn to import data, tabulate summaries, create graphs and perform some basic statistical tests.

Prerequisites
You are assumed to have no or limited basic statistical knowledge and experience with R is not necessary.   

Preliminary program:

  • Brief introduction to the R language
  • Reading in and manipulating data
  • Exploratory analysis: summarizing data numerically and graphically
  • Sample size and power calculations
  • Elementary statistics: t-test, one-way ANOVA, Mann-Whitney, Wilcoxon test, Kruskal-Wallis, Chi-square test

The date and location of this training will be announced soon.


How to report statistics and display data?

Nowadays, one of the major reasons for rejecting manuscripts is the part on statistics. Very often the manuscript contains bad statistics and/or the statistics are not well reported. In this session, the focus will be on summarizing data and the reporting of a number of tests and P values as well as on guidelines for presenting data and statistics in tables, figures and text.

This 2-day introductory course on biostatistics is aimed at students with a very limited knowledge of statistics. The aim is to gain statistical skills that will enable you to read scientific papers, understand simple statistical methods, and interpret the results. The course also provides a basis for the design of simple studies and will cover different basic statistical techniques for data analysis. The theory will be illustrated by exercises that mainly focus on the interpretation of the statistical analysis and correct reporting of the results.

In the first chapter, we (briefly) discuss different types of study designs and descriptive statistics such as measures for location center (mean, median) and spread (variance). In the next chapter, we will focus on probability distributions (normal and binomial distribution) followed by an introduction on confidence intervals and hypothesis testing (Type I and Type II statistical errors, one-sided versus two-sided significance testing, and power analysis). Finally, we will introduce statistical tests for comparison of 2 samples (t-test, Mann-Whitney), more than 2 samples (ANOVA, Kruskal-Wallis), and associations (correlation, contingency tables, relative risk, odds ratio).

After you have completed this training course, you will be able to easily interpret data published in literature and understand why certain statistical tests have been performed. You will be able to communicate with your statistician and you will understand the statistical design of clinical studies.

Preliminary program:

  • Basic concepts
  • The analysis of quantitative variables
  • Comparing groups
  • The analysis of categorical variables
  • How to report statistics
  • How to present data (tables & figures)

The date and location of this training will be announced soon.

     
           
           
 
 
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