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Methodologies exist to indirectly compare interventions, as do modes to implement such methodologies. 1 5–8 In the simplest form, interventions that are evaluated against a common comparator in separate trials can be compared using an anchored-indirect treatment comparison approach.
The two models are thus nested and can be compared using an LRT.
Models M1 and M2 cannot be compared using an LRT, because they are not nested.
Mean age between the ITB and placebo group will be compared using an independent samples t-test.
The effects of treatment conditions on the various outcomes will be compared using an "intention to treat" approach.
The Alberta Context Tool will be compared using an hierarchical (nested) ANOVA to account for variation within, and between, wards.
Similar(45)
Sizes can be compared using a straightforward calculation.
These IT metrics can then be compared, using a customized dashboard, to a slew of business services metrics.
Survival curves will be compared using a log-rank-test.
Parametric data were compared using an unpaired t test.
For continuous measurements, results were compared using an analysis of variance (ANOVA) and Newman Keuls post hoc test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com