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Epidemiological Methods

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Trajectory Analysis in Health Care

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Abstract

As epidemiology seeks to study the etiology, distribution, and control of disease and health conditions, it mirrors ecology, the study of the distribution and abundance of organisms, as well as Tinbergen’s four principles of evolutionary ethology. The commonalities across these disciplines, as well as additional academic fields such as educational research, illustrate the common statistical language of these research fields. The epidemiologist has multiple research study approaches to utilize when planning a research study. The research setup for assigning participants to groups determines the approach and ultimate methods of analysis. Too often, care is not taken to appropriately specify groups and to ensure proper data collection and follow-up data collections for study validity. Trajectory analysis will examine nonlinear effects from multiple data points in longitudinal studies.

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Abbreviations

ANCOVA:

Analysis of covariance

ANOVA:

Analysis of variance

FDA:

U.S. Food and Drug Administration

ICF:

International Classification of Functioning, Disability and Health

NHANES:

National Health and Nutrition Examination Survey

NIH:

National Institutes of Health

RCT:

Randomized Clinical Trial

SAS:

Quantitative statistical package published by SAS, Inc., Cary, North Carolina

SPSS:

Statistical Package for the Social Sciences, published by IBM

WHO:

World Health Organization

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Authors and Affiliations

  1. Health Administration, Pfeiffer University, Morrisville, North Carolina, USA

    David W. Hollar

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  1. David W. Hollar
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Hollar, D.W. (2018). Epidemiological Methods. In: Trajectory Analysis in Health Care. Springer, Cham. https://doi.org/10.1007/978-3-319-59626-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-59626-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59625-9

  • Online ISBN: 978-3-319-59626-6

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