Cohort, Case-Control, Meta-Analysis, Cross-sectional Study Designs & Definition

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  • Опубликовано: 25 янв 2025
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Комментарии • 37

  • @hiker6798
    @hiker6798 4 года назад +6

    Very good that you are sharing this information instead of keeping it locked in an ivory tower.

  • @stomponstep1989
    @stomponstep1989  10 лет назад +15

    If you liked this video and want me to make more please let me know by commenting, liking this video or by subscribing to my RUclips channel. If you have a question, please don’t hesitate to ask and I’ll try to answer it ASAP.

  • @hamzaiqbal1820
    @hamzaiqbal1820 7 лет назад +16

    ''I dont wanna leverage students test anxiety for profit..''
    You are awesome!

  • @sw33tm3
    @sw33tm3 10 лет назад +14

    You are a life saver. EBM was so poorly explained by my prof, and thank goodness I found your video!!! Thank you!

    • @stomponstep1989
      @stomponstep1989  10 лет назад +6

      sw33tm3 Thanks for the comment! I struggled with Evidence Based Medicine the first time I saw these concepts and probably focused too much effort on the other classes I was taking at the time, but when I "took a year off" from med school last year to get a masters in public health I saw all of the topics again (required classes in Epi and Biostats) and finally got to master the concepts. Please tell your friends about Stomp On Step 1!

  • @wc934
    @wc934 7 лет назад +2

    I have always thought this was very easy to differentiate cross-sectional and case control studies, but somehow I am stuck. I am conducting a meta-analysis on a bunch of studies. The goal is just to find out whether two medical conditions are comorbid (or associated), not particularly interested in causality or direction of effect. As I am pulling together all the studies, trying to code them by their designs, I am having trouble coding some studies case control OR cross-sectional. The two medical conditions are assessed at the same time in all of them. I am extracting data the 2X2 contingency table data for the calculation of Odds Ratio. In some studies, they select a group of participants who have one condition, and then select another group (matched by age and gender) who do not have that condition. So these are case control studies? But in some other studies, they look at population-based samples, but the data I am interested in (Odds ratio) are still based on the two groups that are identified as Having the condition vs Not having the condition. So, I am not sure. I am very confused.

  • @dennisdabomb17
    @dennisdabomb17 8 лет назад +1

    Great video, reviewing for step 2. I definitely had a question on a clinical trial phase last year when I took step 1 though.

  • @radwaawad9013
    @radwaawad9013 8 лет назад +1

    your material is very useful , thank you .
    please keep the good work.

  • @nuviarodriguez1735
    @nuviarodriguez1735 7 лет назад

    This finally makes sense! Thank you. I'll definitely let my body rest from the caffeine and send support your way.

  • @princeregietolorio823
    @princeregietolorio823 7 лет назад

    you are God given instructor! thanks...

  • @abbyliang692
    @abbyliang692 8 лет назад

    It is easy to understand! Thank you so much!

  • @doctorkhaldoon
    @doctorkhaldoon 8 лет назад

    could you please tell me, when I read an article, how could I know the type of study for example if its case control or cross sectonal etc

    • @stomponstep1989
      @stomponstep1989  8 лет назад +2

      Sometimes the authors explicitly list it (maybe even in the title), but other times you have to read the methods and figure it out on you own based on the study procedure.

    • @kevontube
      @kevontube 7 лет назад +7

      umm you can't really confuse between meta-analysis, systemic review and RCT because they will most likely say it in the title and it's very easy to tell between them when you read the method (even just the abstract bit).
      The only confusing ones are maybe case control or cohort studies??
      - Case control: they find one diseased and one disease-free group (with all the other similar characteristics) and then try to see if they have been exposed to a certain stimuli you are interested in (e.g. mesothelioma group vs mesothelioma-free group and how much they were exposed to asbestos in childhood for instance)
      - Cohort study: they find two groups first. one group exposed to certain stimuli e.g. radiation or viral infection and other non-exposed control group --> then they monitor if a particular disease occurs in each group and how much
      hope this clarifies things

  • @mariavargas-yf6zr
    @mariavargas-yf6zr 6 лет назад

    You are awesome Stomp

  • @ShlomoLevi
    @ShlomoLevi 5 лет назад

    Actually step 3 have phase of clinical trial a lot

  • @alameerhmona123
    @alameerhmona123 7 лет назад +1

    I have question,
    I have research about prevalence and causes of certain diseases in certain hospital in my country.
    So, which study design is more suitable for my research?

  • @SakadeezN12
    @SakadeezN12 9 лет назад

    great video! Thank you.

    • @stomponstep1989
      @stomponstep1989  9 лет назад

      Nidia Saca Thanks for the comment! Good luck studying

  • @zannatul23
    @zannatul23 7 лет назад

    lovely video, enjoyed it a lot
    please upload more
    love from ldn

  • @chandrajarathish
    @chandrajarathish 7 лет назад

    Good study material...

  • @DidasCalos
    @DidasCalos 8 лет назад

    nice presentation

  • @RaviGupta-mh2hw
    @RaviGupta-mh2hw 7 лет назад

    amazing videos

  • @guayaco1967
    @guayaco1967 9 лет назад +1

    excellent video

    • @stomponstep1989
      @stomponstep1989  9 лет назад

      javier zurita Thanks!

    • @guayaco1967
      @guayaco1967 9 лет назад

      Thank you. Do you know anything about SPSS?

    • @stomponstep1989
      @stomponstep1989  9 лет назад

      javier zurita I did a little bit of that in a Biostats class but I haven't used it since so I have forgotten most of it and it is outside of my area of expertise

  • @kamilmalshy9329
    @kamilmalshy9329 7 лет назад

    good job!!

  • @lalichanperincheril5607
    @lalichanperincheril5607 10 лет назад +1

    good

  • @雷书翔
    @雷书翔 10 лет назад +1

    i like it.

  • @ShlomoLevi
    @ShlomoLevi 5 лет назад

    Good

  • @lalitchauhan6321
    @lalitchauhan6321 7 лет назад

    nice

  • @ananyapriyadarshinipandayo1649
    @ananyapriyadarshinipandayo1649 7 лет назад

    nice