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Michael Fralick
Canada
Приєднався 17 бер 2013
Calculating sample size and power: everything you need to know in 6 minutes
www.powercalc.ca was made by my research team and is free to use.
Want to waste less time finding journals to submit to? check out www.jrnowl.com
Are you a doctor in training? Check out my book of one pagers: shorturl.at/eMb24
Want to waste less time finding journals to submit to? check out www.jrnowl.com
Are you a doctor in training? Check out my book of one pagers: shorturl.at/eMb24
Переглядів: 179
Відео
Linear regression: everything you need to know in 5 minutes
Переглядів 2572 місяці тому
Looking to submit your next manuscript? Use www.jrnowl.com to find submission requirements for over 250 journals www.fralicklab.com www.medicinepods.com
Adjusting for confounders: everything you need to know in 6 minutes
Переглядів 2004 місяці тому
If you don't know what a confounder is, watch this first: ua-cam.com/video/CSyF3ZU_9k8/v-deo.html. For higher level techniques like propensity score methods: ua-cam.com/video/DdCGzNygobw/v-deo.html Learn more about the Fralick Lab: fralicklab.com Want to stop wasting time on journal formatting - jrnowl.com
Acetaminophen (tylenol) - a crash course for nurses in under 5 minutes
Переглядів 894 місяці тому
Created by fralicklab.com References [1] www.nejm.org/doi/full/10.1056/NEJMoa1508375 [2] www.ncbi.nlm.nih.gov/pmc/articles/PMC2861975/ Other crash course videos for nurses: [1] ECG 101 - ua-cam.com/video/xVUXDja662Q/v-deo.htmlsi=Mj1p4zNYFm2ob3mA [2] NG tubes - ua-cam.com/video/CA_OUUJQ9Xs/v-deo.htmlsi=sevGkIM6LN9hDmmc
PCR vs culture vs antigen test: everything you need to know in 5 min
Переглядів 1764 місяці тому
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
SGLT2i: Everything you need to know in 5 minutes
Переглядів 5336 місяців 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 7416 місяців 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 2866 місяців 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 5088 місяців 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 58311 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 10911 місяців тому
www.nejm.org/doi/full/10.1056/NEJMoa2304855 cardiotrialfiles.substack.com/
Intro to 95% confidence intervals: 6 min crash course
Переглядів 6 тис.Рік 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 184Рік 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 6 тис.Рік 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 702Рік 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 220Рік тому
RCT in 3min: SGLT2s improve hemoglobin in CKD!
Thrombocytopenia - everything you need to know in 3min
Переглядів 399Рік тому
Thrombocytopenia - everything you need to know in 3min
Preventing critically low hemoglobin: 3minute overview
Переглядів 161Рік тому
Preventing critically low hemoglobin: 3minute overview
RCT in 3min: Goals of Care Conversations
Переглядів 98Рік тому
RCT in 3min: Goals of Care Conversations
So you want to start an RCT: everything you need to know in 16min
Переглядів 360Рік 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 252Рік тому
NG tubes - everything you need to know in 5 minutes
RCT in 3min: CLEAR trial of bempedoic acid
Переглядів 429Рік тому
RCT in 3min: CLEAR trial of bempedoic acid
3min RCT: RSV vaccine for older adults!
Переглядів 190Рік тому
3min RCT: RSV vaccine for older adults!
RCT in 3min: Hydrocortisone in Severe CommunityAcquired Pneumonia
Переглядів 1,1 тис.Рік тому
RCT in 3min: Hydrocortisone in Severe CommunityAcquired Pneumonia
3 min RCT: IRONMAN - IV iron for heart failure
Переглядів 418Рік тому
3 min RCT: IRONMAN - IV iron for heart failure
ECG crash course in 7min for nurses and medical students
Переглядів 2,5 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 913Рік 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 351Рік тому
3 min RCT: NOSTONE Trial HCTZ for recurrent kidney stones
Anemia crash course: everything you need to know in 3min
Переглядів 743Рік тому
Anemia crash course: everything you need to know in 3min
can you please explain how did you find the coefficients?
@@maryz.1869 the coefficients are the output from the regression model. If you’re unsure about regression here’s a talk on it. ua-cam.com/video/KwBLli1c8_A/v-deo.htmlsi=u3oIwOVonWfxluDI Note that for propensity scores the coefficient is from logistic regression. But that video above gives a good overview of linear regression as a starting point. In the new year I’ll post a video on logistic regression
Great Sir!
1:17 in my test, this one was considered a correct answer... I cannot believe how it is such a widespread misconception. Thanks for stating that it's wrong and not equivalent to the correct interpretation (F).
Actually, I'm getting confused now. I understand why D isn't true, but aren't A and F equivalent? I cannot see the difference. If the true value falls in the intervals 95% of the time, doesn't that mean that for any given interval, there's a 95% chance that it contains the true value...?
Thanks a lot for that excellent explanation!
I get confused on how to determine which set of intervals provide stronger evidence. How would I do so given the list below? I know I look for the options that do not contain 1 because they are statistacally significant but once I narrow down to the last 2 what are the indicators? A. Industrial radiographers: 1.15 (0.53-2.19) B. Nuclear power plant: 5.55 (4.88-6.29) C. Dose-response: 1.10 (0.96-1.27) D. Shipyards: 9.97 (8.50 - 11.63)
I've been on hydrocodone for years and I might be prescribed Ozempic do they not go together ?
thank you
I remember watching your initial video about confounding and observational studies almost two years ago, and because of an upcoming interview I wanted to watch it again. That's how I came across this shorter and more focused video. Very helpful and I'm glad you continue making such useful content.
@@ian_1 you’re most welcome. Thank you for the kind words
Thank you, good talk, clarifying things many do not
Superb
thank you
Very clear and example-based explanation! Great job! Thank you!
@@Paul-MihaiSvaia thank you!
Thank you so much sir.This has been very helpful.
I feel like this is too simplified
if probability score matching improves the validity of overall impact of cofounders, why aren't they used mor often in entertainment, movies, ect? Sounds like an entertaining way to infer or narrow in on a hunch, so im confused why this isn't as generally mentioned? I had to go down so many A.I. rabbit holes to even ask the question - What are propensity scores.
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 😂