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GidMK's profile
Health Nerd
Health Nerd
Health Nerd
Verified account
@GidMK

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Health NerdVerified account

@GidMK

Epidemiologist. Writer (Guardian, Observer etc). "Well known research trouble-maker". PhDing at @UoW Host of @senscipod Email gidmk.healthnerd@gmail.com he/him

Sydney, New South Wales
theguardian.com/profile/gideon…
Joined November 2015

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    1. Darren Dahly, PhD‏ @statsepi 23 Jul 2019

      Darren Dahly, PhD Retweeted Luc Rocher

      Retweet for discussion, not endorsement. #statstwitter #epitwitterhttps://twitter.com/cynddl/status/1153711987878223873 …

      Darren Dahly, PhD added,

      Luc Rocher @cynddl
      Anonymizing data is not enough to protect privacy anymore. Even heavily sampled, anonymous datasets can be re-identified shows our new research in @NatureComms. 15 characteristics will re-identify 99.98% of Americans in virtually any anonymized dataset. https://www.nature.com/articles/s41467-019-10933-3 …
      Show this thread
      6 replies 3 retweets 13 likes
    2. Daniël Lakens‏Verified account @lakens 23 Jul 2019
      Replying to @statsepi

      Oh my, date of birth and my address and 13 other things can identify me! Who would have thought? ;)

      1 reply 1 retweet 26 likes
    3. Felix Schönbrodt‏ @nicebread303 23 Jul 2019
      Replying to @lakens @statsepi

      Lesson learned: Do not include date of birth and address into an "anonymous" data set ...

      1 reply 1 retweet 16 likes
    4. Darren Dahly, PhD‏ @statsepi 24 Jul 2019
      Replying to @nicebread303 @lakens

      There are no universally agreed standards for de-identification, and there are always exceptions so these things deserve our care and atttention, but this is basic stuff that we know people shouldn't be including. https://www.hhs.gov/hipaa/for-professionals/privacy/special-topics/de-identification/index.html#standard …pic.twitter.com/fzaw7fWdGU

      2 replies 1 retweet 11 likes
    5. Andrew Althouse‏ @ADAlthousePhD 24 Jul 2019
      Replying to @statsepi @nicebread303 @lakens

      Yeah, I’d like to see the same exercise for a dataset meeting the HIPAA standards as fully deidentified. The “99.98% can be identified with 15 variables” is kind of a meaningless claim with data including vars that we consider identifiers & would never include in a public dataset

      1 reply 0 retweets 4 likes
    6. Health Nerd‏Verified account @GidMK 24 Jul 2019
      Replying to @ADAlthousePhD @statsepi and

      I've heard that datasets with fully deidentified (by Australian law standards) can be identified at a rate of ~10% if they contain sufficient medical data based on publicly available stuff like social media which I reckon is much more realistic

      2 replies 0 retweets 2 likes
    7. Andrew Althouse‏ @ADAlthousePhD 24 Jul 2019
      Replying to @GidMK @statsepi and

      Yeah. I’m curious, I know the number isn’t zero but I also suspect that taking out a few of the variables they used which are commonly accepted as “identifying” (date of birth?!) would likely knock this number way down.

      1 reply 0 retweets 1 like
    8. Health Nerd‏Verified account @GidMK 24 Jul 2019
      Replying to @ADAlthousePhD @statsepi and

      Yes, from memory one of the biggest issues was public Facebook posts about people in hospital and similar

      1 reply 0 retweets 2 likes
    9. Allen Cheng‏ @peripatetical 24 Jul 2019
      Replying to @GidMK @ADAlthousePhD and

      Not sure that it is quite that high. A 10% sample of a Australian medical claims database was released to researchers in 2016, and a number of prominent individuals could be identified. The dataset was withdrawn. @trentyarwood https://www.google.com/amp/s/pursuit.unimelb.edu.au/articles/the-simple-process-of-re-identifying-patients-in-public-health-records.amp …

      2 replies 0 retweets 2 likes
      Health Nerd‏Verified account @GidMK 24 Jul 2019
      Replying to @peripatetical @ADAlthousePhD and

      This was based on a very large linked dataset including GP and hospital data that would never become public

      3:48 AM - 24 Jul 2019
      • 1 Like
      • Allen Cheng
      1 reply 0 retweets 1 like
        1. New conversation
        2. Trent  💊 🆔‏ @trentyarwood 24 Jul 2019
          Replying to @GidMK @peripatetical and

          There's no such thing as a database that will "never" become public. Breaches are when, not if

          1 reply 0 retweets 3 likes
        3. Darren Dahly, PhD‏ @statsepi 24 Jul 2019
          Replying to @trentyarwood @GidMK and

          Agree, which is why de-identification ASAP is best practice - but I worry there is this message that it isn't possible in any circumstance and so people won't even bother. My 2 cents.

          0 replies 0 retweets 0 likes
        4. End of conversation

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