Intention-to-treat analysis
Intention-to-treat analysis (ITT analysis) is a statistical approach used in randomized controlled trials. The ITT analysis includes every subject who is randomized according to randomized treatment assignment. It ignores noncompliance, protocol deviations, withdrawal, and anything that happens after randomization. ITT analysis is intended to avoid various misleading artifacts that can arise in intervention research such as non-random attrition of participants from the study or crossover.
History
The concept of ITT analysis was first introduced in the field of clinical trials in the 1970s. The principle behind this approach is to maintain the benefits of randomization, which is crucial in determining the efficacy of a treatment.
Principle
The principle of ITT analysis is that it includes all participants in the trial regardless of whether they completed or fully adhered to the treatment. This approach is based on the principle of randomization which assumes that every participant has an equal chance of being assigned to the treatment or control group.
Advantages
ITT analysis has several advantages. It preserves the random assignment of treatments, thus maintaining baseline comparability of treatment groups, and it reflects the pragmatic clinical question of the effect of treatment assignment, not of treatment completion.
Disadvantages
Despite its advantages, ITT analysis also has some limitations. It may underestimate the potential benefits of a treatment, as it includes participants who may not have fully adhered to the treatment. It also assumes that the reason for dropout is unrelated to the treatment, which may not always be the case.
Alternatives
Alternatives to ITT analysis include per-protocol analysis and as-treated analysis. Per-protocol analysis includes only those participants who completed the treatment originally allocated. As-treated analysis includes participants according to the treatment they actually received, rather than the one they were assigned to.
See also
This article is a statistics-related stub. You can help WikiMD by expanding it!
Transform your life with W8MD's budget GLP-1 injections from $125.
W8MD offers a medical weight loss program to lose weight in Philadelphia. Our physician-supervised medical weight loss provides:
- Most insurances accepted or discounted self-pay rates. We will obtain insurance prior authorizations if needed.
- Generic GLP1 weight loss injections from $125 for the starting dose.
- Also offer prescription weight loss medications including Phentermine, Qsymia, Diethylpropion, Contrave etc.
NYC weight loss doctor appointments
Start your NYC weight loss journey today at our NYC medical weight loss and Philadelphia medical weight loss clinics.
- Call 718-946-5500 to lose weight in NYC or for medical weight loss in Philadelphia 215-676-2334.
- Tags:NYC medical weight loss, Philadelphia lose weight Zepbound NYC, Budget GLP1 weight loss injections, Wegovy Philadelphia, Wegovy NYC, Philadelphia medical weight loss, Brookly weight loss and Wegovy NYC
|
WikiMD's Wellness Encyclopedia |
| Let Food Be Thy Medicine Medicine Thy Food - Hippocrates |
Medical Disclaimer: WikiMD is not a substitute for professional medical advice. The information on WikiMD is provided as an information resource only, may be incorrect, outdated or misleading, and is not to be used or relied on for any diagnostic or treatment purposes. Please consult your health care provider before making any healthcare decisions or for guidance about a specific medical condition. WikiMD expressly disclaims responsibility, and shall have no liability, for any damages, loss, injury, or liability whatsoever suffered as a result of your reliance on the information contained in this site. By visiting this site you agree to the foregoing terms and conditions, which may from time to time be changed or supplemented by WikiMD. If you do not agree to the foregoing terms and conditions, you should not enter or use this site. See full disclaimer.
Credits:Most images are courtesy of Wikimedia commons, and templates, categories Wikipedia, licensed under CC BY SA or similar.
Contributors: Prab R. Tumpati, MD