Analysis and Display of Hierarchical Life-Time Data

We discuss the analysis and display of data from multistage systems or processes where subjects/items go through a sequence of stages in a certain order. The purpose of collecting such data (in the form of duration times between the various stages) may be to study the pattern of moving between the s...

Full description

Saved in:
Bibliographic Details
Published in:The American statistician 1999-05, Vol.53 (2), p.140-146
Main Authors: Shmueli, Galit, Cohen, Ayala
Format: Article
Language:English
Subjects:
Academic rank
Applications
Censored data
Censorship
Computational statistics
Computer analysis
Diseases
Duration times
Exact sciences and technology
Females
Graphical methods
Graphs
Hierarchical-successive data
Mathematics
Multidimensional scaling
Multivariate analysis
Outliers
Probability and statistics
Reliability, life testing, quality control
Sciences and techniques of general use
Statistical analysis
Statistical Computing and Graphics
Statistics
Time
Universities
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We discuss the analysis and display of data from multistage systems or processes where subjects/items go through a sequence of stages in a certain order. The purpose of collecting such data (in the form of duration times between the various stages) may be to study the pattern of moving between the stages, to compare the progress of subgroups, or to assess the relation between the different duration times. The methods are based on graphical displays of the duration times between the stages. The graphical methods: Survival-curves, boxplots, follow-up (FU) plots, and multidimensional scaling (MDS) are adopted to handle the specific features of such data. We illustrate the different methods on the duration times between promotions in an academic ranking system.
ISSN:0003-1305
1537-2731
DOI:10.1080/00031305.1999.10474448