The Recruitment Modeller ウィンドウズ PC と Mac の場合

1. It implements the conditional model, as described in A systematic review of models to predict recruitment to multicentre clinical trials by Barnard, Dent and Cook ( ), and because the maths is similar can generate and show the unconditional model too.

2. Recruitment Modeller is a tool for clinical researchers undertaking studies which require the prospective rectuitment of participants from multiple centres.

3. What a modelling tool like does facilitate, however, is rapid sensitivity analysis through the comparison of possible recruitment profiles across a variety of study scenarios, and tracking actual recruitment as it occurs.

4. Of course the unconditional model is rarely useful, except in single centre studies, but may be interesting as a best case example of what can be acheived.

5. The models used in Recruitment Modeller are deterministic - that is they produce the same answer every time.

6. You’ll only get a good prediction from Recruitment Modeller if you give it good data.

7. It’s well known that trials tend to over predict their ability to recruit.

8. They are also - obviously - only as good at the parameters they are given.