5 use cases for network meta-analyses you should know about

• Understanding your phase 3 data
• Understanding competitive data
• Critique Published meta-analyses
• HTA submissions
• Reevaluation of Price

Here are some lessons you can get from this conversation:

1. You need to frame your data and measure the success of your product or your studies and protect the information to avoid any exploitation by other third parties that would want to use your data for their branding.
2. Establish an effective manner by which you compare your data with the data collected by your competition.
3. Make sure to react fast and have an existing alternative communication plan in case exploitation of data does happen.
4. The landscape of meta-analysis continues to change depending on market demands and it is critical for statisticians to consider these adjustments to follow through the changing trend.

Head on to The Effective Statistician and learn more from what this podcast offers. Please share this with your friends and peers and learn from our conversation.