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Model-Free Time Curves for Longitudinal Data Analysis

Primary Purpose

Cardiovascular Diseases, Heart Diseases

Status
Completed
Phase
Locations
Study Type
Observational
Intervention
Sponsored by
National Heart, Lung, and Blood Institute (NHLBI)
About
Eligibility
Locations
Outcomes
Full info

About this trial

This is an observational trial for Cardiovascular Diseases

Eligibility Criteria

undefined - 100 Years (Child, Adult, Older Adult)MaleDoes not accept healthy volunteers

No eligibility criteria

Sites / Locations

    Outcomes

    Primary Outcome Measures

    Secondary Outcome Measures

    Full Information

    First Posted
    May 25, 2000
    Last Updated
    February 26, 2016
    Sponsor
    National Heart, Lung, and Blood Institute (NHLBI)
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    1. Study Identification

    Unique Protocol Identification Number
    NCT00005457
    Brief Title
    Model-Free Time Curves for Longitudinal Data Analysis
    Study Type
    Observational

    2. Study Status

    Record Verification Date
    June 2000
    Overall Recruitment Status
    Completed
    Study Start Date
    January 1991 (undefined)
    Primary Completion Date
    undefined (undefined)
    Study Completion Date
    June 1994 (Actual)

    3. Sponsor/Collaborators

    Name of the Sponsor
    National Heart, Lung, and Blood Institute (NHLBI)

    4. Oversight

    5. Study Description

    Brief Summary
    To enhance statistical methods for epidemiological studies by extending the Disturbed Highest Derivative Polynomial (DHDP) to models for binary-logistic and Poisson data and by including random subject effects in the Gaussian model.
    Detailed Description
    DESIGN NARRATIVE: In previous work the investigator had developed the Disturbed Highest Derivative Polynomial (DHDP) as a model-free time curve and had published the theoretical development for its use as the overall time curve in a linear Gaussian model for longitudinal data with fixed covariate effects and autocorrelated errors but without subject effects. For the logistic model, the DHDP would replace the constant which appeared in the log odds in the non-longitudinal case. The first-order DHDP was a straight line whose slope received random disturbances over time. As such, it was capable of fitting a rich variety of arbitrarily changing time curves. The second-order DHDP would generally provide a fit with smaller high frequency variation. There are a number of longitudinal data analysis methods currently available for Gaussian and binary-logistic data. They all have in common the requirement to explicitly model the overall time curve--usually by a low order deterministic polynomial. The main significance of this proposal was to represent the overall time curve by a DHDP, thereby allowing the possibility for fitting arbitrarily changing time curves without explicitly modeling the form of the change over time. The order of the DHDP can be selected by a modification of the Akaike Information Criterion. The Poisson model should be useful in fitting the periodic reported incidence of a rare disease. The relationship of the DHDP to the Smoothing Polynomial Spline (SPS) was shown and methods were developed for using a SPS instead of a DHDP in analysis. Robustness of the methods were examined by computer simulation studies which evaluated and compared the ability of the DHDP and SPS models to estimate covariate effects and time curves when the time curves were generated by processes other than DHDP. The study completion date listed in this record was obtained from the "End Date" entered in the Protocol Registration and Results System (PRS) record.

    6. Conditions and Keywords

    Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
    Cardiovascular Diseases, Heart Diseases

    7. Study Design

    10. Eligibility

    Sex
    Male
    Maximum Age & Unit of Time
    100 Years
    Accepts Healthy Volunteers
    No
    Eligibility Criteria
    No eligibility criteria

    12. IPD Sharing Statement

    Citations:
    PubMed Identifier
    5397071
    Citation
    Cioffi FA, Giammusso V. [Glucocorticoid therapy in head injuries]. Rass Int Clin Ter. 1969 Mar 31;49(6):370-7. No abstract available. Italian.
    Results Reference
    background

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