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Relative survival is the most defensible method of estimating net survival in population based studies, as it does not rely on accurate reporting of cause of death.
It is the most defensible method of examining long-term disease survival, because it does not rely upon accurate reporting of cause of death (Ederer et al, 1961).
The specific ICD9 codes are grouped into standard reporting of cause of death categories resulting in a total of 107 different causes of death.
Reporting of cause of death can be especially problematic when a decedent has multiple chronic conditions including diabetes, because a single disease may not adequately describe the cause of death, and, clearly, not everyone with diabetes dies from diabetes.
Potential sources of bias in these estimates, including errors in population estimates, return migration, numerator denominator bias (e.g. when country of birth for an individual is recorded differently in the Census and on a death certificate), and inaccurate reporting of cause of death, were previously considered in more detail (Gill et al, 2002).
If oil-producing cantons have more complete and accurate reporting of cause of death than non-oil-producing cantons due to greater access to mainstream health services as a result of oil-related economic activity, then differential outcome classification would be likely to result in overestimated not underestimated RRs.
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In addition, there is an urgent need for robust vital registration systems and accurate reporting of cause-specific mortality rates across all life stages.
Multiple cause of death data provide a potentially useful way of looking for inaccuracies in reporting of causes of death.
Poor reporting of causes of death was a problem in the UK in the 1990s [ 29].
Finally, owing to inconsistencies in the reporting of causes of infertility, we are unable to evaluate the possible associations between ES and causes of infertility.
The implication being that differences found are either due to actual differences in causes of death in these groups or due to systematic biases in the reporting of causes of death, or a combination of both.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com