Methods Library

The Methods Library section of our Repository provides access to reference papers and reports on approaches and methods used to retrospectively harmonize data and to apply these methods to analyze data. The Harmonization Methods Library is divided into the following two subsections: General Harmonization Guidelines and Approaches and Applied harmonization. The Harmonization Methods Library is developed in collaboration with the Integrative Analysis of Longitudinal Studies on Aging. Please send us references you think could be helpful to contribute to this new resource.

To explore resources authored exclusively by Maelstrom Research members, visit the Maelstrom publications section.

This section provides a list of scientific articles and reports describing general guidelines and approaches used for harmonizing data. These texts were written with the conceptual or theoretical goal to describe or document data harmonization. They range from general information about data harmonization to presentation of specific methods of data harmonization but do not present results of data analysis using harmonized data. Use of harmonized data in these manuscripts is for illustrative purposes only.

Friedman HS, Kern ML, Hampson SE, Duckworth AL

A new life-span approach to conscientiousness and health: combining the pieces of the causal puzzle

Developmental psychology. 2014;50(5):1377-89. Pubmed ID: 23088747

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Griffith L, van den Heuvel E, Fortier I, Hofer S, Raina P, Sohel N, et al

Harmonization of Cognitive Measures in Individual Participant Data and Aggregate Data Meta-Analysis

AHRQ Methods for Effective Health Care. Rockville (MD)2013. Pubmed ID: 23617017

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Hussong AM, Curran PJ, Bauer DJ

Integrative data analysis in clinical psychology research

Annual review of clinical psychology. 2013;9:61-89. Pubmed ID: 23394226

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Fortier I, Doiron D, Wolfson C, Raina P

Harmonizing data for collaborative research on aging: why should we foster such an agenda?

Canadian journal on aging = La revue canadienne du vieillissement. 2012;31(1):95-9. Pubmed ID: 22373784

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Bennett SN, Caporaso N, Fitzpatrick AL, Agrawal A, Barnes K, Boyd HA

Phenotype harmonization and cross-study collaboration in GWAS consortia: the GENEVA experience

Genetic epidemiology. 2011;35(3):159-73. Pubmed ID: 21284036

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Fortier I, Doiron D, Wolfson C, Raina P

Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies

International journal of epidemiology. 2010;39(5):1383-93. Pubmed ID: 20813861

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Hofer S, Piccinin A

Toward an integrative science of life-span development and aging

The journals of gerontology Series B, Psychological sciences and social sciences. 2010;65B(3):269-78. Pubmed ID: 20237144

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Curran PJ, Hussong AM

Integrative data analysis: the simultaneous analysis of multiple data sets

Psychological methods. 2009;14(2):81-100. Pubmed ID: 19485623

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Hofer S, Piccinin A

Integrative data analysis through coordination of measurement and analysis protocol across independent longitudinal studies

Psychological methods. 2009;14(2):150-64. Pubmed ID: 19485626

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Bauer DJ, Hussong AM

Psychometric approaches for developing commensurate measures across independent studies: traditional and new models

Psychological methods. 2009;14(2):101-25. Pubmed ID: 19485624

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