All Bookmarks

The UK's clinical trial toolkit

A very detailed website based around the EU clinical trial directive aimed at those running trials in the UK. Although many of the local references to the approval processes may not apply there are some good resources and examples on this site. Many of the scenarios and guidance as generic application.

Saved once (save to my bookmarks)
Bookmarked by The Editorial Team on 13 Jul 2010
0 points

Lots of clinical trial templates, resources and examples

This is an excellent website design really for US based researchers as and therefore has an NIH/FDA focus. However there are documents and examples that can be taken and ammended and they are generic for all trials and disease areas.

Saved 2 times (save to my bookmarks)
Bookmarked by The Editorial Team on 13 Jul 2010
0 points

Some helpful tools to support community engagement

This tool box is focussed on HIV research, however some of the material could be adapted for other disease areas and these do provide good examples. Others views would be welcome - and other similar examples, perhaps for other disease areas?

Saved 2 times (save to my bookmarks)
Bookmarked by The Editorial Team on 13 Jul 2010
0 points

Brazil's Oswaldo Cruz Foundation, the largest Latin American biomedical research institution

Saved once (save to my bookmarks)
Bookmarked by The Editorial Team on 13 Jul 2010
0 points

Free online Biostatistics and Laboratory Techniques courses offering certificate

Introduction to Biostatistics provides an introduction to selected important topics in biostatistical concepts and reasoning through lectures, exercises, and bulletin board discussions. This course represents an introduction to the field and provides a survey of data and data types. Specific topics include tools for describing central tendency and variability
in data; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; issues of power and sample size in study designs; and random sample and other study types. While there are some formulae and computational elements to the course, the emphasis is on interpretation and concepts.

Saved once (save to my bookmarks)
Bookmarked by Sam Franzen on 28 Jun 2010
3 points