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medplot: a web application for dynamic summary and analysis of longitudinal medical data based on R.

Ahlin Č, Stupica D, Strle F, Lusa L - PLoS ONE (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: PhD Candidate of Statistics Programme, University of Ljubljana, Ljubljana, Slovenia.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Summary: grouping variable tab output for binary variables.The table displays the summary statistics for the presence of symptoms at baseline for groups defined by the response to treatment at last evaluation. The proportions are compared, unadjusted and adjusted P values and Q values are provided (see text for details).
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pone.0121760.g004: Summary: grouping variable tab output for binary variables.The table displays the summary statistics for the presence of symptoms at baseline for groups defined by the response to treatment at last evaluation. The proportions are compared, unadjusted and adjusted P values and Q values are provided (see text for details).

Mentions: The groups defined by the dichotomous grouping variable are described and compared in the Summary: grouping variable tab (Fig 4, S3 Fig). The statistical comparisons between the two groups are performed using Mann-Whitney test for numerical variables and chi-squared test with continuity correction for binary variables.


medplot: a web application for dynamic summary and analysis of longitudinal medical data based on R.

Ahlin Č, Stupica D, Strle F, Lusa L - PLoS ONE (2015)

Summary: grouping variable tab output for binary variables.The table displays the summary statistics for the presence of symptoms at baseline for groups defined by the response to treatment at last evaluation. The proportions are compared, unadjusted and adjusted P values and Q values are provided (see text for details).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4383594&req=5

pone.0121760.g004: Summary: grouping variable tab output for binary variables.The table displays the summary statistics for the presence of symptoms at baseline for groups defined by the response to treatment at last evaluation. The proportions are compared, unadjusted and adjusted P values and Q values are provided (see text for details).
Mentions: The groups defined by the dichotomous grouping variable are described and compared in the Summary: grouping variable tab (Fig 4, S3 Fig). The statistical comparisons between the two groups are performed using Mann-Whitney test for numerical variables and chi-squared test with continuity correction for binary variables.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: PhD Candidate of Statistics Programme, University of Ljubljana, Ljubljana, Slovenia.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus