Sentence examples for measuring predictors from inspiring English sources
This indicates the items used in measuring predictors of refusal of PIHT in OPDs correctly differentiated cases from controls and vice versa on average by 91%.
12, 17 Risk of bias in measuring predictors and outcome should be low since assessment of neurological deficit in infancy was performed by experienced neurosurgeons, and details of deaths were provided by the Health and Social Care Information Centre.
We summarised the findings from Stages 1 and 2 plus two related studies (a systematic review of adherence interventions in chronic respiratory disease and a study measuring predictors of adherence in bronchiectasis [ 3, 4, 23]) and circulated these to participants two weeks prior to the expert panels taking place (Patient version in Additional file 3 and HCP version in Additional file 4).
Newly developed scales for measuring predictor, mediator and outcome variables were validated with video data taken from inner and outer cameras, which were installed in 29 buses.
A more direct approach to measuring predictor quality is the use of mild acid elution and mass spectrometry to determine MHC-binding peptides.
Not only demographic, socioeconomic, and clinical variables, but also questionnaire scores were included as independent variables to measure predictors of the MSQoL score, by multiple linear regression analyses with stepwise selection.
Linear and logistic regression was used to measure predictors of outcome.
This study measured predictors of delaying the first antenatal care visit.
A logistic regression analysis was designed to measure predictors of suicide ideation change taking account of intervention condition.
This is the first study to measure predictors of participation in a large-scale, organized, comprehensive interconceptional care intervention among a mostly African American, urban and vulnerable population.
Although the possibility of residual confounding by unmeasured or imprecisely measured predictors of coronary events can never be entirely ruled out in observational studies, our results may represent an overestimation of the association.
