Review authors will independently assess the risk of bias within the published reports of each included study based on the domains typically included within Cochrane reviews (sequence generation, allocation concealment, blinding of treatment providers and personnel, blinding of outcome assessors,
incomplete outcome data, selective reporting bias, and other sources of bias), and assign ratings of high, low or unclear risk of bias in accordance with plans presented in Appendix 3.
Were
incomplete outcome data adequately addressed?
(4)
Incomplete outcome data addressed?
When assessing
incomplete outcome data, reasons for loss of data were not taken into consideration.
Twelve of the included studies were judged at low risk of bias for
incomplete outcome data on the basis that attrition rate was less than 20 % for all outcomes (other than satisfaction), or missing outcome data were balanced across groups (Begley 2011; Biro 2000; Flint 1989; Harvey 1996; Hicks 2003; Homer 2001; Kenny 1994; McLachlan 2012; North Stafford 2000; Tracy 2013; Turnbull 1996; Waldenstrom 2001).
Not exact matches
The others were at unclear risk of attrition bias: two because of
incomplete reporting (Penfold 2014; Winterburn 2003) and four because although there was low attrition, there was no information on loss of twins and any missing
data could relate to the true
outcome (Collins 2004; Graffy 2004; Paul 2012; Reeder 2014).
In addition, participants were also excluded from analyses if they had
incomplete data on GHQ -, CES - D - or CIS - R caseness for
outcome - specific analyses, respectively.
For these reasons and others, the
data regarding actual income - integration efforts and their
outcomes are often spotty and
incomplete.
And since most cases settle, and most settlements are confidential, analyzing only the
data currently available to the public yields
incomplete information regarding likely case
outcomes.