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B_resnick's profile
Brian Resnick
Brian Resnick
Brian Resnick
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@B_resnick

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Brian ResnickVerified account

@B_resnick

Science reporter @voxdotcom: psychology, stars, nature, health, and “whoa that’s cool.” http://www.vox.com/authors/brian-resnick …

Washington, DC
brian-resnick.com
Joined May 2011

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    1. Boback Ziaeian‏ @boback Aug 23

      Here's the problem with caring about odds ratios with shifting reference frames. Journals should be aware of how OR are calculated. For a continuous risk factor, the OR will always look inflated by continuously trimming the reference group. Never goes <2.25 for recent PRS paper.pic.twitter.com/PVab9sp4qK

      Rod Hayward,  🥜 Venk Murthy  🥜, Cecile Janssens and 6 others
      1. Rod Hayward @ProfHayward

      2.  🥜 Venk Murthy  🥜 @venkmurthy

      3. Cecile Janssens @cecilejanssens

      4. Frank Harrell @f2harrell

      5. Amit V. Khera @amitvkhera

      6. Sek Kathiresan MD @skathire

      7. Matthew Herper @matthewherper

      8. Brian Resnick @B_resnick

      9. Nature Genetics @NatureGenet

      5 replies 8 retweets 36 likes
      Show this thread
    2. Boback Ziaeian‏ @boback Aug 23

      You might argue that we should care about only those at highest risk and those protected against CAD using this data, but standardize the reference frame in order to not misrepresent data or odds ratios.

      1 reply 0 retweets 1 like
      Show this thread
    3. Boback Ziaeian‏ @boback Aug 23

      99% of people in this cohort had 3.7 times the odds of CAD!!! STATIN EVERYONE

      1 reply 0 retweets 2 likes
      Show this thread
    4. Boback Ziaeian‏ @boback Aug 23

      So summary statements like this are wrong, because they misrepresent true risk and threshold evaluations.pic.twitter.com/DQLJLF0KoQ

      2 replies 0 retweets 1 like
      Show this thread
    5. Brian Resnick‏Verified account @B_resnick Aug 23
      Replying to @boback

      how would you rephrase this sentence?

      2 replies 0 retweets 0 likes
    6. Boback Ziaeian‏ @boback Aug 23
      Replying to @B_resnick

      The analysis needs to be redone using the average risk patient as a reference. The paper should also describe differences in risk by quantiles. An OR for a tail threshold is meaningless. It’s the wrong statistic to highlight.

      1 reply 0 retweets 0 likes
    7. Brian Resnick‏Verified account @B_resnick Aug 23
      Replying to @boback

      i'd like to learn more about this. do you have an email? I'll reach out.

      1 reply 0 retweets 0 likes
      Brian Resnick‏Verified account @B_resnick Aug 23
      Replying to @B_resnick @boback

      or reach me at brian@vox.com

      2:45 PM - 23 Aug 2018
      • 1 Like
      • Boback Ziaeian
      1 reply 0 retweets 1 like
        1. New conversation
        2.  🥜 Venk Murthy  🥜‏ @venkmurthy Aug 23
          Replying to @B_resnick @boback

           🥜 Venk Murthy  🥜 Retweeted  🥜 Venk Murthy  🥜

          Take a look at this.https://twitter.com/venkmurthy/status/1032443255609352193?s=19 …

           🥜 Venk Murthy  🥜 added,

           🥜 Venk Murthy  🥜 @venkmurthy
          Replying to @venkmurthy @GENES_PK and 11 others
          If rather than taking the standardized OR from Venk's eyeball fit of the curve above, you want to look at the percentile data transformed to ORs relative to the middle of the population, you get this plot. pic.twitter.com/yKuyyeQRsW
          1 reply 0 retweets 1 like
        3. Ljubomir Buturovic‏ @ljbuturovic Aug 23
          Replying to @venkmurthy @B_resnick @boback

          Alternatively, compute sens/spec for the 99%, 3.7 OR test Clearly not useful due to 1% specificitypic.twitter.com/lAEWZRwEVY

          0 replies 0 retweets 1 like
        4. End of conversation

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