entity · derived
Selection bias
Derived node: assembled mechanically from the claims carrying selection-bias. A roster, not an adjudicated definition.
Every claim under this term
- 2150377-016 : The standard remedies for selection bias are not reliably corrective: simulation studies show that many techniques used to prevent selection bias problems have mixed success rates, can worsen rather t
- 2150377-017 : A treatment and control design is unavailable for studying registration effects, because managers who did not have to register have no exposure to the treatment and therefore cannot generate informati
- 2150377-018 : Managers who avoided registration by restructuring, for example by changing organizational form or assets under management, are practically and administratively very difficult to identify, so the popu
- 2150377-019 : Comparison of the responding sample against the full registered population on Form ADV parameters shows the sample is not biased toward any particular subgroup of hedge fund advisers, and gives no ind
- 2389423-022 : Selection bias is a valid concern in this study because of the lower sample sizes available for Models 1 through 5.
- 2447306-007 : Enlarging the sample does not cure selection bias in non-statistical sampling: a bigger sample neither compensates for the bias of non-statistical techniques nor guarantees that the sample is represen
- 2447306-008 : Further randomization of the sample was not available as a remedy, because respondents drawn from outside the private fund adviser population would never have been exposed to the new disclosure requir
- 2486570-037 : The governance trends reported in this study apply only to corporations that actually executed an agreement, so because a disproportionately large number of corporations self correct or self report in
- 2739479-018 : Neither the 2012 nor the 2015 sample is biased, and the comparison across the two populations is consistent because respondents in both surveys were equally subject to Title IV compliance obligations.