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When Randomized Trials and Observational Studies Disagree: Lessons From Instrumental Variable Analysis in

Neel M Butala1, Makoto Mori2

  • 1Rocky Mountain Regional VA Medical Center, Aurora, Colorado, USA; University of Colorado School of Medicine, Aurora, Colorado, USA.

Journal of the American College of Cardiology
|May 13, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
instrumental variable analysismultiarterial graftingsingle arterial grafting

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
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Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...

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