Markov Model for Cost-Effectiveness Analysis in Excel - video 2

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  • Опубликовано: 28 дек 2024

Комментарии • 18

  • @highyblessed1781
    @highyblessed1781 4 года назад +3

    How do you create the specific menu tab on 2:56?

  • @ameyarane2384
    @ameyarane2384 4 года назад +2

    @kibo Hut Thank you so much for the detailed information regarding Markov modeling in Excel and VBA. These videos are super helpful and informative. Could you also add videos on creating decision trees and microsimulation in Excel/VBA? It would be really helpful for students like me. Thanks again :)

  • @balaganesh5519
    @balaganesh5519 4 года назад

    thanks for your knowledge sharing and explicit explanation

  • @befikadu100
    @befikadu100 4 года назад

    @Kibo Hut Wow, how nice to hear you my lovely modeling instructor at KI!! I was wondering if you have any excel tutorial for producing tornedo diagrams for one way SA. Thank you!

  • @yangxulin5883
    @yangxulin5883 Год назад

    Thank you very much for your detailed and clear illustration of Markov model with cohort simulation! It is really enlightening. I would like to know:
    1. how do we calculate total QALYs in each cycle? Is it adding up QALYs for each individual in the cohort and then dividing the sum by the number of individuals to get average QALYs or in other words per-patient QALYs?
    2. I saw in the final result that you calculated the total effect per patient, and would like to confirm with you how per-patient QALY is derived? Is it done as I described in Q1 above?
    Thank you so much for your help in advance! With my best regards!

    • @YiSun-p7j
      @YiSun-p7j Год назад

      yes, I think. You can refer to the first video.

  • @MuhammedawelKaso
    @MuhammedawelKaso 8 месяцев назад

    Interesting video

  • @gbadeboabayomi9241
    @gbadeboabayomi9241 5 месяцев назад

    How can one contact you?

  • @kelvinmemeh
    @kelvinmemeh 5 лет назад +1

    thanks for the video. I am still trying to understand how you derived the time dependent variables

    • @kibohut1730
      @kibohut1730  5 лет назад +1

      Hi, sorry for the delay! I answered this question on the other video you commented, I paste the text here: For these models the time dependent variables are just made up. But in a real model time dependent variables typically come from individual level data using statistical software to perform regression analyses. The details are described in for example the book "Decision Modelling for Health Economic Evaluation" by Andrew Briggs

    • @AuthenticMe10
      @AuthenticMe10 4 года назад

      @@kibohut1730 thank you so much for your video, I love it!!! Can you please share with me the book "Decision Modelling for Health Economic Evaluation" by Andrew Briggs
      ? I would like to know how these time dependent variables were derived. Thank you

    • @kibohut1730
      @kibohut1730  4 года назад

      @@AuthenticMe10 I'm sorry I don't even have that book anymore...but I strongly recommend you buying it!

  • @susansebastian4229
    @susansebastian4229 3 года назад

    Hello! I was wondering what does the HR mean in the following variables: HR Die New Drug, HR disease new drug, HR hosp new drug.

  • @basikattack3900
    @basikattack3900 6 лет назад +2

    While most of the video is useful, the tutorial would make much more sense if you could introduce how you got those variables, what are the alpha, beta distributions and how you got them, and what the formula does exactly

    • @kibohut1730
      @kibohut1730  6 лет назад +4

      I agree. You could check all this up in the book "Decision Modelling for Health Economic Evaluation" by Briggs, Sculpher and Claxton.

    • @ballukiduniya6214
      @ballukiduniya6214 5 лет назад +4

      You are the best. Slowly i am learning from your videos. It's very appreciative that you are explaining each and every step of modelling with Excel shortcuts. It would be great if you can explain other modelling as well ( budget impact or utility). One request if you can share your email id or contact I would like to connect with you. Thank you. Happy learning :)