![Michael Fralick](/img/default-banner.jpg)
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Michael Fralick
Canada
Приєднався 17 бер 2013
PCR vs culture vs antigen test: everything you need to know in 5 min
PCR vs culture vs antigen test: everything you need to know in 5 min by Hania Siddiqui. Hania is an MSc candidate at the university of toronto and team member at fralicklab.com & cube-ontario.github.io
Переглядів: 56
Відео
SGLT2i: Everything you need to know in 5 minutes
Переглядів 226Місяць тому
www.sglt2rx.com/ www.glp1-rx.com/ References [1] www.nejm.org/doi/full/10.1056/NEJMoa1504720 [2] www.nejm.org/doi/full/10.1056/NEJMoa2107038 [3] www.nejm.org/doi/full/10.1056/NEJMoa2022190 [4] www.nejm.org/doi/full/10.1056/NEJMoa2107038
Ozempic (semaglutide): Everything you need to know in 5 minutes
Переглядів 206Місяць тому
www.glp1-rx.com/ fralicklab.com References www.nejm.org/doi/full/10.1056/NEJMoa2403347 www.nejm.org/doi/full/10.1056/NEJMoa2306963 www.nejm.org/doi/full/10.1056/NEJMoa2307563 www.nejm.org/doi/full/10.1056/NEJMoa1607141
Confounding: Everything you need to know in 5 minutes!
Переглядів 1342 місяці тому
Brought to you by www.fralicklab.com Check out jrnowl.com to stop wasting your time when trying to find journal submission requirements! Higher level teaching point: Confounder is a common cause* of the exposure and outcome and not on the causal pathway. *Markers of a common cause also fall in that bucket. For age to be a confounder it does not have to cause anything but it is a marker for othe...
Stats 101 for med students: everything you need to know in 7 minutes
Переглядів 2473 місяці тому
95% CI: everything you need to know in 5min - ua-cam.com/video/5eAGXsY9LSI/v-deo.html p values: everything you need to know in 5 min - ua-cam.com/video/jZdMYUT1R6Y/v-deo.html Jrnowl.com - a free resource to waste less time when you are submitting manuscripts for publication tinystats.github.io/teacups-giraffes-and-statistics/index.html Thank you to Katarina Zorcic (Queen's University medical st...
Bias: everything you need to know in 5 min!
Переглядів 3236 місяців тому
Brief video to introduce and define bias. Past videos include: - 95% confidence interval: ua-cam.com/video/5eAGXsY9LSI/v-deo.html - p values: ua-cam.com/video/jZdMYUT1R6Y/v-deo.html - RCTs: ua-cam.com/video/cfymxVWy8YY/v-deo.html www.jrnowl.com/ Follow on twitter - @fralickmike
Tight vs liberal glycemic control: 3min summary
Переглядів 787 місяців тому
www.nejm.org/doi/full/10.1056/NEJMoa2304855 cardiotrialfiles.substack.com/
Intro to 95% confidence intervals: 6 min crash course
Переглядів 1,2 тис.7 місяців тому
[1] Great resource here: tinystats.github.io/teacups-giraffes-and-statistics/index.html [2] www.jrnowl.com follow along on twitter @fralickmike
Lecture: crash course from pragmatic to adaptive RCTs
Переглядів 1559 місяців тому
Here is the unabridged version of a lecture I gave on October of 2023 at Mount Sinai Hospital in Toronto, Ontario. www.jrnowl.com trialfiles.substack.com/ fralicklab.com/
P values: everything you need to know in 5 min
Переглядів 1,5 тис.10 місяців тому
Jrnowl.com - a free resource to waste less time when you are submitting manuscripts for publication NEJM Evidence stats stat - ua-cam.com/video/85lLfUHmmYQ/v-deo.html&ab_channel=NEJMGroup Episheets - www.rtihs.org/episheet
3 min RCT: once weekly insulin!!
Переглядів 53610 місяців тому
Twitter: FralickMike The Rounds Table Podcast: podcasts.apple.com/ca/podcast/the-rounds-table/id826703161 JRNOWL: www.jrnowl.com/ www.nejm.org/doi/full/10.1056/NEJMoa2303208
RCT in 3min: SGLT2s improve hemoglobin in CKD!
Переглядів 19511 місяців тому
Twitter: FralickMike The Rounds Table Podcast: podcasts.apple.com/ca/podcast/the-rounds-table/id826703161 JRNOWL: www.jrnowl.com/ evidence.nejm.org/doi/full/10.1056/EVIDoa2300049
Thrombocytopenia - everything you need to know in 3min
Переглядів 252Рік тому
This is a brief 3min crash course on thrombocytopenia meant for medical trainees and generalists (e.g., internists, family doctors). fralicklab.com/
Preventing critically low hemoglobin: 3minute overview
Переглядів 127Рік тому
This video is intended for staff and trainees at St Michael's hospital in Toronto to provide a primer on a new decision support tool. The tool aims to decrease the number of blood transfusions and critically low hemoglobin values
RCT in 3min: Goals of Care Conversations
Переглядів 89Рік тому
Link to article: jamanetwork.com/journals/jama/fullarticle/2805346 Twitter: FralickMike The Rounds Table Podcast: podcasts.apple.com/ca/podcast/the-rounds-table/id826703161 JRNOWL: www.jrnowl.com/
So you want to start an RCT: everything you need to know in 16min
Переглядів 259Рік тому
So you want to start an RCT: everything you need to know in 16min
NG tubes - everything you need to know in 5 minutes
Переглядів 173Рік тому
NG tubes - everything you need to know in 5 minutes
RCT in 3min: CLEAR trial of bempedoic acid
Переглядів 295Рік тому
RCT in 3min: CLEAR trial of bempedoic acid
3min RCT: RSV vaccine for older adults!
Переглядів 121Рік тому
3min RCT: RSV vaccine for older adults!
RCT in 3min: Hydrocortisone in Severe CommunityAcquired Pneumonia
Переглядів 1 тис.Рік тому
RCT in 3min: Hydrocortisone in Severe CommunityAcquired Pneumonia
3 min RCT: IRONMAN - IV iron for heart failure
Переглядів 360Рік тому
3 min RCT: IRONMAN - IV iron for heart failure
ECG crash course in 7min for nurses and medical students
Переглядів 1,4 тис.Рік тому
ECG crash course in 7min for nurses and medical students
A crash course on types of RCTs: Everything you need to know in 6min!
Переглядів 673Рік тому
A crash course on types of RCTs: Everything you need to know in 6min!
3 min RCT: NOSTONE Trial HCTZ for recurrent kidney stones
Переглядів 316Рік тому
3 min RCT: NOSTONE Trial HCTZ for recurrent kidney stones
Anemia crash course: everything you need to know in 3min
Переглядів 594Рік тому
Anemia crash course: everything you need to know in 3min
Run in phases for clinical trials: everything you need to know in 2min
Переглядів 726Рік тому
Run in phases for clinical trials: everything you need to know in 2min
Wonderfull, thank you so much!
This is the reason why the side effects for Statin were under reported.
Tirzepatide from Eli Lilly
THANK YOU
Omg!! This was perfect thanks!
thank you so much for this video helped me with my journal club!
Michael, the man that you’re!! Thank you from the bottom of my heart.
Very informative
Thank you for this lecture it is really helpful
I am a masters student studying social work and even when the focus of the research is different the process of calculating these scores is more or less similar. This video was a great deal of help and extremely digestible, thank you so much!
That’s very kind of you. And I’m glad you found it helpful !
thank you for this great explanation! Is there also a possibility when having 3 treatment groups to calculate propensity scores with the same strategy?
You’re most welcome. There is but that gets complicated fast! If there are 3 groups and one is the ref then I do two pair wise comparisons to the ref. Hope that helps.
DB RCT are the best! Thank you for the content! Why should i listen to other trials if they are vulnerable to biases?
Sometimes double blind trials is not feasible and sometimes not possible. also, unblinded RCTs are still very useful. but they are just prone to some biases that double blinded trials are not
Fantastic! Nicest explanation of PSM ever
Thx so much!
Thank you so much for making this video!
My pleasure. Thank you for your kind words!!
Great video - well explained
Great video - you made it so easy to understand
thank you very much!!
Great vid! Would love to see a crash course on Kaplan-Meier/survival analysis
Great idea. Will work on that one in the future for sure
Can you talk about confidence intervals in depth? I’m having a hard time trying to interpret it
Yes here is recent video on it. ua-cam.com/video/5eAGXsY9LSI/v-deo.htmlsi=58K48FXROpUEm4is
thanks, pretty clear
Great, thanks!
Really helpful, I wanted to ask What is the difference between Propensity score matching and Case control matching (SPSS)?
Case control matching is unrelated. Here is great resource on everything you need to know about case control studies sphweb.bumc.bu.edu/otlt/MPH-Modules/EP/EP713_Case-Control/
Thanks for the clear explanation!
My pleasure. Thank you for watching
THANK YOU SO MUCH
My pleasure. I’m happy you enjoyed it
genius! deeply appreciate this video! helpful for med students drowned by statistical terms
Thank you !
Hi Michael, Appreciate this breakdown, despite most of it going over my head. When you say these statistical methods do not mimic RCTs, what exactly does that mean? How closely do we get to the results of a RCT using this method, and has this method been verified against the findings of RCTs? The reason I'm asking this is b/c I came across a cohort article comparing adolescents who took antipsychotic medication vs. those who didn't, and compared how they were doing 5 years later. The article suggests, after using IPTW, that antipsychotic medication in those w/ their first episode of psychosis, actually makes for a worse 5 year outcome. I'm skeptical though b/c it's a cohort study and no randomization was done. The authors acknowledge this weakness, and then state that the Stabilized IPTW is used to eliminate the possibility that those with worse psychosis were the ones who were given an antipsychotic medication. (I think this is the most probable explanation for why those who were given AP medication fared worse. . .simply b/c they already were experiencing more profound psychosis and so we would expect them to be doing worse at a 5 year follow-up). Seems super fishy to me. . .any thoughts here are appreciated, thx.
You are totally right to be skeptical. There’s no way to answer this Q “how close do we get to the results of a RCT”. It would be like asking how much does this glass of wine taste like a beer. They are two different things. To learn more about why RCTs are so powerful and what randomization achieves (that no cohort study can) here is link to my 6min crash course on RCTs: ua-cam.com/video/oQt8jR5RgVQ/v-deo.htmlsi=cpMn3c6YQnWYj3wv
awesome, thank you for the insanely prompt and helpful response Michael!@@Fralickmike
great video!
Thank you!!
🤩
Very good lesson except that you are extremely fast. I wish you could slow down your pace
Thank you for feedback. Note you can slow the speed to 0.75 or 0.5 to slow it down
Thank you so much. Plz make more videos especially about meta-analysis
Thank you for your kind words!!
excellent breakdown and synopsis. Thank you.
There are 3 scores as 0.6, would it be fair/unbiased to match with random 2 only?
that is a good question. you are right that it would be ok to pick at random. In some studies people match "many to one". so you could keep all 3. But the "ideal" approach is 1:1 based on prior studies.
@@Fralickmike Thank you!!
I learnt so much. Such a good presenter. Thank you!
Thank you! That’s very kind of you
This lecture coul even solve a particular question... kept rigmaroles coming...
you are so stupid, while giving a lecture, avoid your shit chatting with people
Thanks for the video
Thank you for the video!! saved me when I got totally lost in my intermediate pharmacoepidemiology class 😂
Doing an analysis on a controlled trial you were involved in just feels like cheating. But super helpful video, Thank you!
Great summary. I think the only point that I would have added on patient baseline was highlighting the fatc that all patients were statin intolerant (and they signed a informed consent)
Thank you for uploading
how do you set the 20% margin on the forest plot?
Thank you Dr. Fralick for this video!! Can you please post your talk about everything you need to know about statistics ? Thanks again
Yes you are right that is a long overdue talk. I will work on it next
Thank you
Thank you dear teacher. Excellent, in spite of it wasn't in Spanish or without subtitles
You are welcome!
I cannot emphasize how helpful this lecture is. Thank you for making this available. Topics like these are very hard for me to understand on live face-to-face/online lectures. I need to pause a bit, rewind a bit to catch the concepts. THANK YOU!
Thanks that’s very kind of you!!
Can you please explain the slide at 5:10? Why don't we have the same number of persons, means...? Is it just that we do not take into account people without a match?
Very helpful video for rookies like me😊
Thank you!!
One of the best 👍💯
Thank you!
Great lecture Michael! can anyone help me understand how to use the Newcastle Ottawa scale a little better? The questionnaire seems pretty straightforward but I'm not sure if I am interpreting it correctly.
Very informative video😊 I will suggest the channel to my colleagues too
thank you!!
Can u make a video how to critical analyze clinical trials , the interpretation is so varied Will appreciate that
Thank for the concise videos that explain the overall concept very well. It was very easy to understand. There are 3 implementation details during the matching phase (at 5:00) hoping you could clarify. 1. After we get the score, if there are two rows with scores 0.5 in control group (where `SGLT2 = No`), should both of them be matched to row 3 in treatment group? 2. In the real world, the score would rarely be exactly the same if we allow infinite decimal. How do you consider a match? Would there be an arbitrary numeric difference allowed? 3. If there are two rows in treatment with score 9.15 and 9.18 (row A and B), and two rows in control with score 9.16 and 9.25 (row C and D). Would row A and B both be matched to C? Or would row A matched to C as they are have the smallest difference, then row B has to be matched to D?
The stats section of this article will help answer your Qs www.acpjournals.org/doi/10.7326/M19-2610