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Insufficient adjustments often give the initial anchor a great deal of influence over future assessments [5].
There are often insufficient adjustments made for this behaviour, because most governments fail to systematically embed population health considerations into their health systems and incentive structures [ 12, 13].
3 4 Whether this transition period is truly associated with an increase in adverse events or poor quality of care remains unclear, 5 6 7 8 9 10 11 12 13 largely because previous studies have relied on relatively small samples, 9 10 insufficient adjustments for differences in case mix, 4 5 11 and administrative data to analyse rare outcomes such as in-hospital mortality.
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In case of insufficient adjustment for confounding effect, it is likely that the intervention effect has been over-estimated.
Consequently, multiple statistical testing of several endpoints without or with only insufficient adjustment of the chosen significance level, or the use of inadequate statistical methods [21, 69 71].
This might imply insufficient adjustment for noise, i.e. residual confounding.
Insufficient adjustment for differences in the interview date would result in underestimation of risk.
Insufficient adjustment of the reference date could have also led to bias in this case.
10 The common finding of excess mortality in underweight people might be an artefact caused by insufficient adjustment for smoking.
Fourth, methodological limitations across studies included the short time of intervention or follow-up, insufficient adjustment for potential confounders, lack of randomisation procedure and blinding at outcome assessment.
Different models were built to detect the confounding effects which might arise from current or cumulative smoking and from an insufficient adjustment for diuresis.
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