Related Experiment Video
Updated: Jan 10, 2026

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
Published on: January 24, 2020
Real-World Effectiveness: Addressing Selection Bias in the Well Elderly 2 Study Strengthens Effect Estimates
Pureum Jeon1, Kevin T Pritchard2,3, Eun-Young Yoo4
1Department of Occupational Therapy, Graduate School, Yonsei University, Wonju, South Korea.
Intention-to-treat (ITT) analyses can underestimate intervention effects. Adjusting for lost follow-up using inverse probability of censoring weights (IPCW) in the Well Elderly 2 study revealed stronger treatment effects, offering a more complete interpretation.
Area of Science:
- Gerontology
- Clinical Trials
- Biostatistics
Background:
- Intention-to-treat (ITT) analysis in randomized trials can be limited by participant non-adherence and loss to follow-up.
- These limitations may lead to an underestimation of treatment effects.
- Addressing internal validity threats is crucial for accurate interpretation of trial outcomes.
Purpose of the Study:
- To demonstrate methods for addressing internal validity threats in ITT analyses.
- To apply these methods using data from the Well Elderly 2 study.
- To compare standard ITT with an adjusted ITT approach.
Main Methods:
- Secondary analysis of 4-year data from 460 older adults in the Well Elderly 2 study.
- Utilized inverse probability of censoring weights (IPCW) to adjust for participant follow-up loss.
- Compared outcomes from standard ITT with IPCW-adjusted ITT.
Main Results:
- Standard ITT indicated improvements in 10 out of 17 outcomes.
- IPCW-adjusted ITT demonstrated improvements in 13 out of 17 outcomes.
- For SF-36v2, IPCW-adjusted ITT showed significant improvements in both mental and physical composite scores, unlike standard ITT.
Conclusions:
- IPCW-adjusted ITT analyses may reveal stronger intervention effects compared to standard ITT.
- Standard ITT is more conservative but susceptible to misclassification bias.
- Reporting both standard and adjusted ITT analyses provides a more robust interpretation of treatment effects in the presence of missing data.
More Related Videos
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
12:59Improving Strength, Power, Muscle Aerobic Capacity, and Glucose Tolerance through Short-term Progressive Strength Training Among Elderly People
Published on: July 5, 2017
Related Concept Videos
Drug Dosing: Geriatric Patients
Bias in Epidemiological Studies
Pharmacodynamics in Geriatric Patients: Effects of Age
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Distribution
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Excretion
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Metabolism