Showing posts with label missing data. Show all posts
Showing posts with label missing data. Show all posts
Thursday, January 01, 2026

One-way versus two-way tipping point analysis for robustness assessment of the missing data

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Tipping point analysis (TPA) is a key sensitivity analysis mandated by regulatory agencies like the FDA to assess the robustness of clinic...
Sunday, July 18, 2021

Imputation of partial dates for adverse events, concomitant medications, and disease diagnosis

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Many date variables are collected in the clinical trial database. The date variables include date of birth, date of disease diagnosis, date ...
Monday, January 11, 2021

Single Imputation Methods for Missing Data: LOCF, BOCF, LRCF (Last Rank Carried Forward), and NOCB (Next Observation Carried Backward)

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The missing data is always an issue when analyzing the data from clinical trials. The missing data handling has been moved toward the model-...
Sunday, December 06, 2020

Multiple Imputation: Imputation Model versus Analysis Model

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Multiple imputation has become more and more popular in handling the missing data in clinical trials. Multiple imputation inference involves...
Sunday, November 29, 2020

Handling of Missing Data: Comparison of MMRM (mixed model repeated measures) versus MI (multiple imputation)

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Longitudinal study has become one of the most commonly adopted designs in clinical trials. Since the outcome measures are performed at vario...
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