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Studies that developed and validated an ADR prediction model for use in patients over 65 years old, using a multivariable approach in the design and analysis, were included.
An additional advantage was a multivariable approach in the logistic modeling that controlled for multiple other factors including psychiatric co-morbidities.
Variables that were analyzed using a multivariable approach, in at least two studies and that showed either a statistical significant association or an odds ratio ≤0.5 or ≥1.5 were included in the best evidence synthesis.
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Furthermore, the multivariable approach presented in the current paper is relevant to other areas of nephrology namely in the evaluation of haemodialysis programs (where renal transplantation and transfer to PD are competing risks) or in renal transplantation when analysing graft failure (where death with functioning graft could be considered a competing event).
In the second approach, these groups of variables were entered sequentially into the regression model, adjusting for the previous group as confounders (Multivariable Approach 2 in Tables 2, 3 and 4).
If an HQ study described a variable to be initially included in a stepwise selection process but was not presented in the final model it was categorized as having no association with delirium in a multivariable approach.
On the other hand, when pooling several risk factors in a multivariable approach, only racing intensity turned out to be significant (p < 0.001), since racing speed and the racing intensity were partially confounded, being strongly correlated to one another.
In our study we discuss further this topic and illustrated how the methodology should be used when investigating other serious events in dialysis populations using a multivariable approach.
A multivariable approach to the statistical modelling may thus be advantageous and should be addressed in future research.
A multivariable approach was used to account for the functional form of the relationship between continuous prognostic variable factors and survival in advanced pancreatic cancer [ 5].
Multivariable approaches could have been used in order to decipher the correlations of job satisfaction with internal marketing, demographic and occupational factors.
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CEO of Professional Science Editing for Scientists @ prosciediting.com