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“No, the sample is 19 out of 103 patients over a decade. That is a small sample.”
Simon,
Not in my use of the information it’s not, and it’s my use of this information at issue. Right?
Of the 19 and 103 values the sample is 103 and the population of that sample is 19. This sample of 103 was used by Beliaev to form a matched comparison group to identify whatever disparities between the two groups, and in particular disparity of costs between the two groups in relation to outcomes.
That was Beliaev’s use of the 19 and 103 values; not mine.
My use was to take Beliaev’s identification of 19 statistically preventable deaths and compare it with the population of JWs in New Zealand.
My use of Beliaev’s identification of 19 statistically preventable deaths among JWs in New Zealand uses the population of JWs in New Zealand as the sample value (=12,700 annually between 1998-2007) against the 19 identified instances of statistically preventable deaths among JWs in New Zealand.
You don’t understand these things. That’s apparent. Moreover, I don’t see any need in repeating these things.
“Your are assuming that there is no other variance than the patient being a JW. It would be incredible if the same hospitals had two sets of 1000 patients and had the exact same outcomes for both - same number of deaths, same reasons etc...”
Where I’ve assumed I’ve done so conservatively so that if I’m wrong I’m wrong in terms of an understatement rather than an overstatement. My extrapolation is based on these conservative inputs. Hence, if anything, the numbers of preventable would be higher rather than lower. As you don’t understand the sample set and population of that sample set, you don’t understand this either. I see no need in repeating this, either.
“Your issue is that you are taking numbers that have a chance of being correct as being absolutely correct.”
My extrapolation is based on a hard number of preventable deaths that is absolutely correct. That number is 19 over a 10-year period documented in a minority of trauma centers in New Zealand.
My extrapolation is based on a hard number value of JWs in New Zealand at the time and uses the same hard number value of JWs worldwide. These numbers are published.
“If your method was in the least bit scientific you would be able to tell us what the confidence and margin of errors were. I don't think you can.”
I could. But I don’t need to. My extrapolation is not presented as a predictor of preventable deaths. It’s presented as a conservative figure of preventable deaths. The former tends to need a confidence factor and margin of error; the latter does not because it’s based on conservative inputs. You don’t understand this either.
“Marvin, this should be a fairly straightforward question which you've danced around:
“How many JWs have died? (using known populations and normal mortality rates)
“What proportion of those deaths are you claiming are due to refusing blood?”
Simon,
What you say above is not only an insult, worse, it’s a boldfaced lie.
I answered both these questions on page 15 of this discussion, and I provided this information in reply to YOU!!!:
http://www.jehovahs-witness.net/watchtower/medical/265357/15/250-000-Jehovahs-Witnesses-have-died-refusing-blood#.UmGw-vMo7IU
Please stop with the insults.
Marvin Shilmer