Logo Medical Science Monitor

Call: +1.631.470.9640
Mon - Fri 10:00 am - 02:00 pm EST

Contact Us

Logo Medical Science Monitor Logo Medical Science Monitor Logo Medical Science Monitor

23 April 2003

A model for clustering of longitudinal data sets of infant mortality rates in India.

Ajay Kumar Bansal, Shrideo Sharma

Med Sci Monit 2003; 9(4): PH1-6 :: ID: 4689

Abstract

BACKGROUND: Cluster analysis is used to assign a set of observations into clusters that have similar characteristics as measured by a set of classifying variables. There have been few studies on clusters of longitudinal datasets or the mathematical and statistical modeling of partitioning of time trends. We present a model to cluster the infant mortality rate trends for 14 major states of India from 1972 to 1998. MATERIAL/METHODS: Each state is represented as an n[sup]th[/sup] degree polynomial using the curvilinear regression method. The total difference in the rate of change from time t[sub]1[/sub] (1972) to t[sub]n[/sub] (1998) for each state is obtained by summing the differences in velocity between two adjacent time points (1), and the Euclidean distance of the trend from the base is calculated objectively by dividing the trend into the optimum number of divisions (2). By adding these two (1 & 2), the measure of dissimilarity coefficient is obtained, which is finally used to cluster the trends. RESULTS: In this case, all three methods, i.e. complete linkage, average between groups, and Ward's linkage method (using SPSS 10.0), suggested the same number and type of clusters. Cluster I has only one state, Cluster II consists of four states, Cluster III has eight states, and Cluster IV has only one state. CONCLUSIONS: Such clustering and grouping gives much more confidence to planners in devising strategies for the control of infant mortality and resource allocation at the national level.

Keywords: Cluster Analysis, Data Interpretation, Statistical, India - epidemiology, Infant Mortality, Longitudinal Studies, Models, Statistical, Registries

Add Comment 0 Comments

Editorial

01 April 2025 : Editorial  

Editorial: Rapid Testing for the Avian Influenza A(H5N1) Virus is Urgently Required as Infections in Poultry and Dairy Cows are on the Rise, and so is Transmission to Humans

Dinah V. Parums

DOI: 10.12659/MSM.949109

Med Sci Monit 2025; 31:e949109

0:00

In Press

Clinical Research  

Impact of Voltage Level on Hospitalization and Mortality in Electrical Injury Cases: A Retrospective Analys...

Med Sci Monit In Press; DOI: 10.12659/MSM.947675  

Clinical Research  

Comparative Study of Plantar Load and Foot Posture Characteristics in Male Elite Squash Players and Non-Ath...

Med Sci Monit In Press; DOI: 10.12659/MSM.947828  

Clinical Research  

Dental Students’ Opinions on Use of Artificial Intelligence: A Survey Study

Med Sci Monit In Press; DOI: 10.12659/MSM.947658  

Database Analysis  

Defining Effect Size Standards in Temporomandibular Joint and Masticatory Muscle Research

Med Sci Monit In Press; DOI: 10.12659/MSM.948365  

Most Viewed Current Articles

17 Jan 2024 : Review article   8,126,196

Vaccination Guidelines for Pregnant Women: Addressing COVID-19 and the Omicron Variant

DOI :10.12659/MSM.942799

Med Sci Monit 2024; 30:e942799

0:00

16 May 2023 : Clinical Research   703,007

Electrophysiological Testing for an Auditory Processing Disorder and Reading Performance in 54 School Stude...

DOI :10.12659/MSM.940387

Med Sci Monit 2023; 29:e940387

0:00

01 Mar 2024 : Editorial   30,250

Editorial: First Regulatory Approvals for CRISPR-Cas9 Therapeutic Gene Editing for Sickle Cell Disease and ...

DOI :10.12659/MSM.944204

Med Sci Monit 2024; 30:e944204

0:00

28 Jan 2024 : Review article   24,107

A Review of IgA Vasculitis (Henoch-Schönlein Purpura) Past, Present, and Future

DOI :10.12659/MSM.943912

Med Sci Monit 2024; 30:e943912

0:00

Your Privacy

We use cookies to ensure the functionality of our website, to personalize content and advertising, to provide social media features, and to analyze our traffic. If you allow us to do so, we also inform our social media, advertising and analysis partners about your use of our website, You can decise for yourself which categories you you want to deny or allow. Please note that based on your settings not all functionalities of the site are available. View our privacy policy.

Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750