@heatherawwood @BenClover The full sequence is this. The coding at mid staffs was a mess due to long term sickness of coding manager >
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Replying to @mulberrybush
@mulberrybush@heatherawwood@BenClover Bored now! FACT: Many died needlessly at Md Staffs ......true/false!2 replies 1 retweet 1 like -
Replying to @JoinedU1
@JoinedU1@heatherawwood@BenClover good question. & if you have read & understood http://skwalker1964.wordpress.com/2013/02/26/the-real-mid-staffs-story-one-excess-death-if-that/ … you will see no easy answer3 replies 0 retweets 0 likes -
Replying to @mulberrybush
@mulberrybush@joinedu1@benclover Docs often reluctant to say firmly that poor care 'caused' death. But you believe what you choose Diana.4 replies 3 retweets 0 likes -
Replying to @heatherawwood
@heatherawwood@JoinedU1@BenClover The 400-1200 based on seriously poor data has always been unhelpful in getting this across.4 replies 1 retweet 1 like -
Replying to @mulberrybush
@mulberrybush@benclover In fact I would like you to withdraw that remark. Can argue abt interpretation, but no of excess deaths was robust4 replies 4 retweets 2 likes -
Replying to @heatherawwood
@heatherawwood@BenClover If the quality of data is irrelevant then the system to me seems to have no purpose.1 reply 0 retweets 0 likes -
Replying to @mulberrybush
@mulberrybush Diana, am giving up on you. The quality of stat analysis was EXCELLENT. Were 000s excess deaths. How interpret is different.4 replies 1 retweet 0 likes -
Replying to @heatherawwood
@heatherawwood@mulberrybush If air traffic data says a plane crashed & you find evidence of wreckage, why would you argue the data's wrong?4 replies 1 retweet 0 likes -
Replying to @C7RKY
@C7RKY@heatherawwood@mulberrybush Unlike air traffic data, hospital motality data does not clearlyly identify landings and crashes.3 replies 0 retweets 1 like
@atm0spheric @heatherawwood @mulberrybush Just because the data can't say exactly how many died when plane struck..it still crashed, no?
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