Systematic Review and Meta analysis - All you ever need to know

Meta analysis is a very common way of bringing together data to help us decide which treatments might be best. BUT, you have to take care when interpreting them - there's a lot more to it than just looking which side of the line the little black diamond is on! How do you construct a search for a systematic review?Can you trust the result of a meta analysis? How do you know if it has been done well? How to recognise different kinds of bias, how to interpret a forest plot, and funnel plot and a bubble plot. What is the I squared statistic and what does it tell you about the data and how much to trust the result?
These and many more things to do with these common but complex analyses is explained by Brett Doleman, statistical guru!

[@mk67890]

Thank you so much. I have a couple of questions.
1. How do we interpret the p-value next to the chi square test below the forest plot?
2. How do we interpret the z-value provided below the forest plot?
3. How do we interpret tau square?

[@gaoyangEL]

Thank you for the clear explanation of meta-analysis. Your presenattion has hit all of the key elements, it an hour well spent! I found it immensely helpful.

[@celinejames6935]

Thank you for making this tricky topic easy and palatable. I have always struggled with statistics but found this interesting and simple to understand. I will keep returning to this video and will be watching more of your podcasts, will also recommend to friends and colleagues.

[@mohammadfahmy7976]

Amazing podcast! Thank you very much for presenting such a very interesting topic.

[@manishkc133]

Great job. very clear and precise information.

[@patlee6087]

Thank you so much for helping me to understand this topic I was struggling.Your presentation is very clear and easy to follow.

[@warflower.]

The presenter was clear and concise, making this a great podcast. I understood everything. One hour well-spent!

[@schoolofsurgery4140]

Thanks! Really pleased you found it helpful. Please share with friends and colleagues

[@cnova1234]

Great Explanation!

[@calvarytucson247]

Brilliant- thanks so much - very clear and helpful - both of you are excellent teachers - kudos from Arizona!

[@schoolofsurgery4140]

Thanks Peter! That's very kind and you're welcome. Please share with friends and colleagues and check out our other videos here and on iTunes and podomatic

[@yvetteb.6890]

Outstanding resource for my dissertation, Thank you.

[@schoolofsurgery4140]

You're welcome. Thanks for the feedback

[@murtazaqasemi5972]

same here, but I am really struggling with it :/

[@annewarner9877]

When I received my paper, I wrote support that I would like to see few mistakes in the writing as my English isn’t that perfect. 😰😰😰 It was just a comment, but the writer fixed everyrhing ASAP and added mistakes. I didn’t even had to set deadline as usual. Amazing!❤️❤️❤️

[@imcool711]

THANK YOU from Chicago!!!

[@mohamedelamin1555]

that was really good teaching and very simple .
Impressive way of teaching thanks

[@schoolofsurgery4140]

you're very welcome. Please share with friends and check out our other podcasts on iTunes

[@ishmail2768]

Great contribution !!!

[@schoolofsurgery4140]

Thanks! Glad you liked it. Please share with others

[@nareshkatla1156]

very clear in explanation

[@amalsuresh1618]

Thank you

[@sapogvmf]

Unfortunately, English is not my mother-tongue and it sometimes difficult to me to understand everything aurally.
Does anyone have the text of this lecture?

[@mohammadfahmy7976]

Amazing podcast! Thank you very much for presenting such a very interesting topic.

[@schoolofsurgery4140]

Thanks for watching - hope you like our others as much

[@Ineedscissors62]

Thank you

[@schoolofsurgery4140]

You're welcome. Hope you like all the other ones too