medplot : a Web Application for Dynamic Summary and Analysis of Longitudinal Medical Data Based on R
Ahlin, Črt (Author), Lusa, Lara (Author), Strle, Franc (Author), Stupica, Daša (Author)

URLURL - Presentation file, Visit http://www.plosone.org/article/fetchObject.action?uri=info:doi/10.1371/journal.pone.0121760&representation=PDF This link opens in a new window

In biomedical studies the patients are often evaluated numerous times and a large number of variables are recorded at each time-point. Data entry and manipulation of longitudinal data can be performed using spreadsheet programs, which usually include some data plotting and analysis capabilities and are straightforward to use, but are not designed for the analyses of complex longitudinal data. Specialized statistical software offers more flexibility and capabilities, but first time users with biomedical background often find its use difficult. We developed medplot, an interactive web application that simplifies the exploration and analysis of longitudinal data. The application can be used to summarize, visualize and analyze data by researchers that are not familiar with statistical programs and whose knowledge of statistics is limited. The summary tools produce publication-ready tables and graphs. The analysis tools include features that are seldom available in spreadsheet software, such as correction for multiple testing, repeated measurement analyses and flexible non-linear modeling of the association of the numerical variables with the outcome. medplot is freely available and open source, it has an intuitive graphical user interface (GUI), it is accessible via the Internet and can be used within a web browser, without the need for installing and maintaining programs locally on the user's computer. This paper describes the application and gives detailed examples describing how to use the application on real data from a clinical study including patients with early Lyme borreliosis.

Keywords:biomedical studies, longitudinal data, statistical software offers
Work type:Not categorized (r6)
Tipology:1.01 - Original Scientific Article
Organization:MF - Faculty of Medicine
Numbering:Vol. 10, iss. 4
ISSN on article:1932-6203
DOI:10.1371/journal.pone.0121760 Link is opened in a new window
COBISS.SI-ID:31924697 Link is opened in a new window
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Record is a part of a journal

Title:PloS one
Publisher:Public Library of Science
COBISS.SI-ID:2005896 This link opens in a new window

Secondary language

Keywords:biomedicinske raziskave, longitudinalni podatki, statistična programska oprema

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