Michael Fralick
Michael Fralick
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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
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
3min RCT: DELIVER Trial
Переглядів 369Рік тому
3min RCT: DELIVER Trial
Anemia crash course: everything you need to know in 3min
Переглядів 743Рік тому
Anemia crash course: everything you need to know in 3min

КОМЕНТАРІ

  • @maryz.1869
    @maryz.1869 3 дні тому

    can you please explain how did you find the coefficients?

    • @Fralickmike
      @Fralickmike 2 дні тому

      @@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

  • @farabiabdullah5139
    @farabiabdullah5139 8 днів тому

    Great Sir!

  • @kikones34
    @kikones34 Місяць тому

    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).

    • @kikones34
      @kikones34 Місяць тому

      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...?

  • @saikatpanda6653
    @saikatpanda6653 Місяць тому

    Thanks a lot for that excellent explanation!

  • @VAsGenuineEpic
    @VAsGenuineEpic Місяць тому

    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)

  • @blakewhittington4336
    @blakewhittington4336 2 місяці тому

    I've been on hydrocodone for years and I might be prescribed Ozempic do they not go together ?

  • @BassamSulaiman123
    @BassamSulaiman123 2 місяці тому

    thank you

  • @ian_1
    @ian_1 2 місяці тому

    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.

    • @Fralickmike
      @Fralickmike 2 місяці тому

      @@ian_1 you’re most welcome. Thank you for the kind words

  • @galpandgalp
    @galpandgalp 2 місяці тому

    Thank you, good talk, clarifying things many do not

  • @ArchitPandharipande
    @ArchitPandharipande 3 місяці тому

    Superb

  • @Paul-MihaiSvaia
    @Paul-MihaiSvaia 3 місяці тому

    Very clear and example-based explanation! Great job! Thank you!

    • @Fralickmike
      @Fralickmike 3 місяці тому

      @@Paul-MihaiSvaia thank you!

  • @mahnoorirfan8890
    @mahnoorirfan8890 3 місяці тому

    Thank you so much sir.This has been very helpful.

  • @KalMunq
    @KalMunq 3 місяці тому

    I feel like this is too simplified

  • @artworthi
    @artworthi 4 місяці тому

    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.

  • @TheProblembaer2
    @TheProblembaer2 4 місяці тому

    Wonderfull, thank you so much!

  • @abhijithasok4314
    @abhijithasok4314 5 місяців тому

    This is the reason why the side effects for Statin were under reported.

  • @heenajariyal6620
    @heenajariyal6620 5 місяців тому

    Tirzepatide from Eli Lilly

  • @nesrinaa4844
    @nesrinaa4844 6 місяців тому

    THANK YOU

  • @danielaperezvasquez3340
    @danielaperezvasquez3340 7 місяців тому

    Omg!! This was perfect thanks!

  • @jananys3156
    @jananys3156 7 місяців тому

    thank you so much for this video helped me with my journal club!

  • @ghadah9120
    @ghadah9120 7 місяців тому

    Michael, the man that you’re!! Thank you from the bottom of my heart.

  • @frankpeprah6198
    @frankpeprah6198 8 місяців тому

    Very informative

  • @josephinechikapa9587
    @josephinechikapa9587 8 місяців тому

    Thank you for this lecture it is really helpful

  • @FROSTHAWK247
    @FROSTHAWK247 8 місяців тому

    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!

    • @Fralickmike
      @Fralickmike 8 місяців тому

      That’s very kind of you. And I’m glad you found it helpful !

  • @frankvanschellen4980
    @frankvanschellen4980 8 місяців тому

    thank you for this great explanation! Is there also a possibility when having 3 treatment groups to calculate propensity scores with the same strategy?

    • @Fralickmike
      @Fralickmike 8 місяців тому

      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.

  • @dr.tomadragos-medicreziden1806
    @dr.tomadragos-medicreziden1806 8 місяців тому

    DB RCT are the best! Thank you for the content! Why should i listen to other trials if they are vulnerable to biases?

    • @Fralickmike
      @Fralickmike 8 місяців тому

      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

  • @josefoso15
    @josefoso15 9 місяців тому

    Fantastic! Nicest explanation of PSM ever

  • @akshitbhalla874
    @akshitbhalla874 10 місяців тому

    Thank you so much for making this video!

    • @Fralickmike
      @Fralickmike 10 місяців тому

      My pleasure. Thank you for your kind words!!

  • @augustinechukwunta680
    @augustinechukwunta680 10 місяців тому

    Great video - well explained

  • @augustinechukwunta680
    @augustinechukwunta680 10 місяців тому

    Great video - you made it so easy to understand

    • @Fralickmike
      @Fralickmike 10 місяців тому

      thank you very much!!

  • @osashruf
    @osashruf 10 місяців тому

    Great vid! Would love to see a crash course on Kaplan-Meier/survival analysis

    • @Fralickmike
      @Fralickmike 10 місяців тому

      Great idea. Will work on that one in the future for sure

  • @KalMunq
    @KalMunq 10 місяців тому

    Can you talk about confidence intervals in depth? I’m having a hard time trying to interpret it

    • @Fralickmike
      @Fralickmike 10 місяців тому

      Yes here is recent video on it. ua-cam.com/video/5eAGXsY9LSI/v-deo.htmlsi=58K48FXROpUEm4is

  • @stanislavlegkovoy2119
    @stanislavlegkovoy2119 10 місяців тому

    thanks, pretty clear

  • @svenkreutzer5617
    @svenkreutzer5617 11 місяців тому

    Great, thanks!

  • @silverlight7938
    @silverlight7938 11 місяців тому

    Really helpful, I wanted to ask What is the difference between Propensity score matching and Case control matching (SPSS)?

    • @Fralickmike
      @Fralickmike 11 місяців тому

      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/

  • @ShenghanLi
    @ShenghanLi 11 місяців тому

    Thanks for the clear explanation!

    • @Fralickmike
      @Fralickmike 11 місяців тому

      My pleasure. Thank you for watching

  • @flori2611
    @flori2611 Рік тому

    THANK YOU SO MUCH

    • @Fralickmike
      @Fralickmike Рік тому

      My pleasure. I’m happy you enjoyed it

  • @ericyeh4315
    @ericyeh4315 Рік тому

    genius! deeply appreciate this video! helpful for med students drowned by statistical terms

  • @A_Psych_Nurse
    @A_Psych_Nurse Рік тому

    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.

    • @Fralickmike
      @Fralickmike Рік тому

      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

    • @A_Psych_Nurse
      @A_Psych_Nurse Рік тому

      awesome, thank you for the insanely prompt and helpful response Michael!@@Fralickmike

  • @yutingchen9701
    @yutingchen9701 Рік тому

    great video!

  • @ishikahalder799
    @ishikahalder799 Рік тому

    🤩

  • @MphoDiane
    @MphoDiane Рік тому

    Very good lesson except that you are extremely fast. I wish you could slow down your pace

    • @Fralickmike
      @Fralickmike Рік тому

      Thank you for feedback. Note you can slow the speed to 0.75 or 0.5 to slow it down

  • @ajkovic914
    @ajkovic914 Рік тому

    Thank you so much. Plz make more videos especially about meta-analysis

    • @Fralickmike
      @Fralickmike Рік тому

      Thank you for your kind words!!

  • @jamesharte8390
    @jamesharte8390 Рік тому

    excellent breakdown and synopsis. Thank you.

  • @girlthatcooks4079
    @girlthatcooks4079 Рік тому

    There are 3 scores as 0.6, would it be fair/unbiased to match with random 2 only?

    • @Fralickmike
      @Fralickmike Рік тому

      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.

    • @girlthatcooks4079
      @girlthatcooks4079 Рік тому

      @@Fralickmike Thank you!!

  • @ruiz_aeg
    @ruiz_aeg Рік тому

    I learnt so much. Such a good presenter. Thank you!

    • @Fralickmike
      @Fralickmike Рік тому

      Thank you! That’s very kind of you

  • @articulatepro4449
    @articulatepro4449 Рік тому

    This lecture coul even solve a particular question... kept rigmaroles coming...

  • @taifshah9003
    @taifshah9003 Рік тому

    you are so stupid, while giving a lecture, avoid your shit chatting with people

  • @datadoctor10
    @datadoctor10 Рік тому

    Thanks for the video

  • @yuyangzhu6822
    @yuyangzhu6822 Рік тому

    Thank you for the video!! saved me when I got totally lost in my intermediate pharmacoepidemiology class 😂