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Missing data in longitudinal studies : strategies for Bayesian modeling and sensitivity analysis.

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Missing data in longitudinal studies : strategies for Bayesian modeling and sensitivity analysis. / McClintock, P. V. E.
In: Contemporary Physics, Vol. 51, No. 2, 03.2010, p. 188-189.

Research output: Contribution to Journal/Magazine › Book/Film/Article review

Harvard

McClintock, PVE 2010, 'Missing data in longitudinal studies : strategies for Bayesian modeling and sensitivity analysis.', Contemporary Physics, vol. 51, no. 2, pp. 188-189. https://doi.org/10.1080/00107510903093086

APA

McClintock, P. V. E. (2010). Missing data in longitudinal studies : strategies for Bayesian modeling and sensitivity analysis. Contemporary Physics, 51(2), 188-189. https://doi.org/10.1080/00107510903093086

Vancouver

McClintock PVE. Missing data in longitudinal studies : strategies for Bayesian modeling and sensitivity analysis. Contemporary Physics. 2010 Mar;51(2):188-189. doi: 10.1080/00107510903093086

Author

McClintock, P. V. E. / Missing data in longitudinal studies : strategies for Bayesian modeling and sensitivity analysis. In: Contemporary Physics. 2010 ; Vol. 51, No. 2. pp. 188-189.

Bibtex

@article{89ffd00941134c8ba4a7f77759e946f2,
title = "Missing data in longitudinal studies : strategies for Bayesian modeling and sensitivity analysis.",
abstract = "Longitudinal studies are almost always plagued by missing data. Examples include research data in public health, medicine, life and social sciences, as well as in environmental and geophysical studies of ice ages and the past climate. In the case of data involving people over a period of time there are usually some drop-outs due to e.g. moving away, or death, or simply disinclination to continue. Similarly, some physical measurements in a historic time series may be corrupted or missing. In such cases it may be impossible to repeat the measurements, or the survey, so that the best that can be done is to find a way of accommodating the lacun{\ae} such that they do minimal damage to the reliability of any conclusions.",
author = "McClintock, {P. V. E.}",
note = "Review of book {"}Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis{"}, by M.J. Daniels and J.W. Hogan.",
year = "2010",
month = mar,
doi = "10.1080/00107510903093086",
language = "English",
volume = "51",
pages = "188--189",
journal = "Contemporary Physics",
issn = "0010-7514",
publisher = "Taylor & Francis",
number = "2",

}

RIS

TY - JOUR

T1 - Missing data in longitudinal studies : strategies for Bayesian modeling and sensitivity analysis.

AU - McClintock, P. V. E.

N1 - Review of book "Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis", by M.J. Daniels and J.W. Hogan.

PY - 2010/3

Y1 - 2010/3

N2 - Longitudinal studies are almost always plagued by missing data. Examples include research data in public health, medicine, life and social sciences, as well as in environmental and geophysical studies of ice ages and the past climate. In the case of data involving people over a period of time there are usually some drop-outs due to e.g. moving away, or death, or simply disinclination to continue. Similarly, some physical measurements in a historic time series may be corrupted or missing. In such cases it may be impossible to repeat the measurements, or the survey, so that the best that can be done is to find a way of accommodating the lacunæ such that they do minimal damage to the reliability of any conclusions.

AB - Longitudinal studies are almost always plagued by missing data. Examples include research data in public health, medicine, life and social sciences, as well as in environmental and geophysical studies of ice ages and the past climate. In the case of data involving people over a period of time there are usually some drop-outs due to e.g. moving away, or death, or simply disinclination to continue. Similarly, some physical measurements in a historic time series may be corrupted or missing. In such cases it may be impossible to repeat the measurements, or the survey, so that the best that can be done is to find a way of accommodating the lacunæ such that they do minimal damage to the reliability of any conclusions.

U2 - 10.1080/00107510903093086

DO - 10.1080/00107510903093086

M3 - Book/Film/Article review

VL - 51

SP - 188

EP - 189

JO - Contemporary Physics

JF - Contemporary Physics

SN - 0010-7514

IS - 2

ER -