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We recognized that selection bias may have occurred as those who attended may be different in some characteristics (which may affect the outcome of the study) from those who did not attend, limiting the generalization of our study findings.
Patients hospitalized at the RHK in 2014 with the diagnosis of an AMI in comparison with the patients hospitalized at the KCH in 2007 were different in some characteristics: females were older, but males were younger, and less of the patients had RF and reinfarction (Table 1).
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Participants completing different language versions differed in some characteristics (Table 1).
We relied on perinatal data collections, health care registers and linked databases from different countries, which differ in some characteristics that may impact the absolute rates of the outcomes.
The former leads to the loss of data and hence reduces the statistical power of any analysis, and can also result in bias if the suppressed records are different in some important characteristics from the rest of the data.
Patients were not different in clinical characteristics at presentation, nor in discharge laboratory parameters.
CRAB and CRAN bacteremia are different in clinical characteristics, antimicrobial susceptibilities, and mortality rates.
In addition, participant characteristics were compared to detect whether participants in these four groups were different in certain characteristics.
The women who dropped out were not different in their characteristics from those who completed the protocol.
Information available for analysis is unique to that system and different in characteristics and behaviour to that of other systems.
Intervention and control patients and physicians were somewhat different in characteristics that may be associated with preventive service delivery.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com