After watching a lot of videos and still feeling confused, finally I am feeling that I am beginning to understand the differences between all of these terms, thank you
OMG thank you i have a post grad exam in few days and these terms always confused me and in 6 mins they are explained in a way i can clearly remember and understand
That is absolutely correct! Normal kidney produces erythropoietin. --> People with kidney failure produces less erythropoietin, resulting in anemia. That is why, patients with kidney failure usually need erythropoietin shots (procrit) to treat their anemia.
great keep up. you did a good job. we have learned from you. i am First year PhD students for Public Health, could you give your me your email, in case I need your help.
HI @mustafe ibrahim, you can get find my email address at the "About" section of my youtube channel. I can't put the email in the comment section because of potential spam bot attacks.
FINALLY, someone who makes sense of this! Thank you!! I'm taking master's class in clinical mental health and this was a huge help.
o lord, finally...some people just make things more confusing because they dont know what theyre talking about, so thank you for this video
Anytime! i am glad you found this helpful.
I've been struggling for one year, asking my professor, but that is the most clear explanation that I've met (the schema helps a lot !)
I am glad that is helpful! Are there any statistical concepts you are not clear about? I am happy to make a video to clarify them further.
After watching a lot of videos and still feeling confused, finally I am feeling that I am beginning to understand the differences between all of these terms, thank you
This is a must-video for any resident who will do Journal club! Your listeners will pimp you on all these terms! I have been there
Thank you for your kind words!
This video taught me what my master's degree couldn't. Simply brilliant!
I do like this video and to answer your question I'm gonna give you like millions of trillions thumbs up
OMG thank you i have a post grad exam in few days and these terms always confused me and in 6 mins they are explained in a way i can clearly remember and understand
I am glad that this is helpful!
This is absolute gold! Thank you!
THANK YOU GHURL
anytime!
Well explained
Thank you so much
Thank you that was great ...how about collider?
Thanks for sharing. This video is really helpful.
Thank you for this explination. Very good examples that are easily understood.
My pleasure! Are there any other topics you are interested in?
Very very clear explanation!
Glad you like it. Thanks!. Are there any other research/statistical concepts that you would like me to talk about?
that's a fantastic video, thank you
Thank you
This was so helpful
Thank you for the video
Thanks for watching!
Tyvm!
My pleasure! Are there are terms you are confused about? I will make a video to explain.
thank you so much :D
Fabulous! Would appreciate it if any reference could be given.
EXCELLENT
Are confounder and moderator the same to an extent?
Hi, can the age group be the covariate? Because it’s effect the outcome of the results
Yes! Age group is one of the most common covariates used in epidemiological research.
Can diabetes be an exposure in this case?
Yes, diabetes could be an exposure for stroke. In that case, the research question would be "Is diabetes associated with the risk of stroke?"
Is it because kidney failure increases the probability for the treatment using Procrit? Is that why it is a confounder?
That is absolutely correct!
Normal kidney produces erythropoietin. --> People with kidney failure produces less erythropoietin, resulting in anemia. That is why, patients with kidney failure usually need erythropoietin shots (procrit) to treat their anemia.
great keep up. you did a good job. we have learned from you. i am First year PhD students for Public Health, could you give your me your email, in case I need your help.
HI @mustafe ibrahim, you can get find my email address at the "About" section of my youtube channel. I can't put the email in the comment section because of potential spam bot attacks.