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Kaplan-Meier Approach01:24

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The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
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A New MI-Based Visualization Aided Validation Index for Mining Big Longitudinal Web Trial Data.

Zhaoyang Zhang1, Hua Fang1, Honggang Wang2

  • 1Department of Quantitative Health Science, University of Massachusetts Medical School, Worcester, MA 01605, USA.

IEEE Access : Practical Innovations, Open Solutions
|August 3, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a new visualization-aided validation index (MIVOOS) for analyzing complex web-delivered clinical trial data. MIVOOS effectively determines the optimal number of clusters, improving pattern identification in longitudinal datasets.

Keywords:
Multiple imputationclustering validationlongitudinal web trial datapattern recognitionvisualization

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Area of Science:

  • Data Science
  • Biostatistics
  • Clinical Informatics

Background:

  • Web-delivered clinical trials generate large, complex datasets with heterogeneity in treatment effects.
  • Unsupervised learning methods are used to analyze this data, but validating identified patterns remains challenging.
  • Existing validation methods may not be optimal for incomplete longitudinal web-trial data with zero inflation.

Purpose of the Study:

  • To propose and validate a new Multiple Imputation-based Visualization-aided validation index (MIVOOS).
  • To determine the optimal number of clusters for big, incomplete longitudinal web-trial data with inflated zeros.
  • To enhance pattern visualization and verification in web-trial data.

Main Methods:

  • Developed MIVOOS, an MI-based fuzzy clustering validation index.
  • MIVOOS employs improved overlap and separation measures suitable for web-trial data.
  • Utilized Sammon mapping for optimizing 3-D projection view angles to guide 2-D projection-based MIVOOS.

Main Results:

  • MIVOOS demonstrated robustness in validating big web-trial data across various missing data mechanisms.
  • The proposed index outperformed existing methods like Xie and Beni (XB) and VOS in validation accuracy.
  • Visualization-aided validation using MIVOOS effectively corroborated identified trajectory patterns.

Conclusions:

  • MIVOOS offers a robust and effective method for validating cluster patterns in complex, incomplete longitudinal web-trial data.
  • The visualization-guided approach enhances the interpretability and reliability of unsupervised learning in clinical trial analysis.
  • This method addresses key challenges in analyzing big data from web-delivered clinical trials.