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Propensity Scoring after Multiple Imputation in a Retrospective Study on Adjuvant Radiation Therapy in Lymph-Node Positive Vulvar Cancer

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Propensity Scoring after Multiple Imputation in a Retrospective Study on Adjuvant Radiation Therapy in Lymph-Node Positive Vulvar Cancer. / zu Eulenburg, Christine; Suling, Anna ; Neuser, Petra; Reuss, Alexander; Canzler, Ulrich; Fehm, Tanja; Luyten, Alexander; Hellriegel, Martin; Woelber, Linn; Mahner, Sven.

In: PLOS ONE, Vol. 11, No. 11, 2016, p. e0165705.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

zu Eulenburg, C, Suling, A, Neuser, P, Reuss, A, Canzler, U, Fehm, T, Luyten, A, Hellriegel, M, Woelber, L & Mahner, S 2016, 'Propensity Scoring after Multiple Imputation in a Retrospective Study on Adjuvant Radiation Therapy in Lymph-Node Positive Vulvar Cancer', PLOS ONE, vol. 11, no. 11, pp. e0165705. https://doi.org/10.1371/journal.pone.0165705

APA

zu Eulenburg, C., Suling, A., Neuser, P., Reuss, A., Canzler, U., Fehm, T., Luyten, A., Hellriegel, M., Woelber, L., & Mahner, S. (2016). Propensity Scoring after Multiple Imputation in a Retrospective Study on Adjuvant Radiation Therapy in Lymph-Node Positive Vulvar Cancer. PLOS ONE, 11(11), e0165705. https://doi.org/10.1371/journal.pone.0165705

Vancouver

zu Eulenburg C, Suling A, Neuser P, Reuss A, Canzler U, Fehm T et al. Propensity Scoring after Multiple Imputation in a Retrospective Study on Adjuvant Radiation Therapy in Lymph-Node Positive Vulvar Cancer. PLOS ONE. 2016;11(11):e0165705. https://doi.org/10.1371/journal.pone.0165705

Bibtex

@article{0807126f7cbf4c3fad403e68637e1916,
title = "Propensity Scoring after Multiple Imputation in a Retrospective Study on Adjuvant Radiation Therapy in Lymph-Node Positive Vulvar Cancer",
abstract = "Propensity scoring (PS) is an established tool to account for measured confounding in non-randomized studies. These methods are sensitive to missing values, which are a common problem in observational data. The combination of multiple imputation of missing values and different propensity scoring techniques is addressed in this work. For a sample of lymph node-positive vulvar cancer patients, we re-analyze associations between the application of radiotherapy and disease-related and non-related survival. Inverse-probability-of-treatment-weighting (IPTW) and PS stratification are applied after multiple imputation by chained equation (MICE). Methodological issues are described in detail. Interpretation of the results and methodological limitations are discussed.",
author = "{zu Eulenburg}, Christine and Anna Suling and Petra Neuser and Alexander Reuss and Ulrich Canzler and Tanja Fehm and Alexander Luyten and Martin Hellriegel and Linn Woelber and Sven Mahner",
year = "2016",
doi = "10.1371/journal.pone.0165705",
language = "English",
volume = "11",
pages = "e0165705",
journal = "PLOS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "11",

}

RIS

TY - JOUR

T1 - Propensity Scoring after Multiple Imputation in a Retrospective Study on Adjuvant Radiation Therapy in Lymph-Node Positive Vulvar Cancer

AU - zu Eulenburg, Christine

AU - Suling, Anna

AU - Neuser, Petra

AU - Reuss, Alexander

AU - Canzler, Ulrich

AU - Fehm, Tanja

AU - Luyten, Alexander

AU - Hellriegel, Martin

AU - Woelber, Linn

AU - Mahner, Sven

PY - 2016

Y1 - 2016

N2 - Propensity scoring (PS) is an established tool to account for measured confounding in non-randomized studies. These methods are sensitive to missing values, which are a common problem in observational data. The combination of multiple imputation of missing values and different propensity scoring techniques is addressed in this work. For a sample of lymph node-positive vulvar cancer patients, we re-analyze associations between the application of radiotherapy and disease-related and non-related survival. Inverse-probability-of-treatment-weighting (IPTW) and PS stratification are applied after multiple imputation by chained equation (MICE). Methodological issues are described in detail. Interpretation of the results and methodological limitations are discussed.

AB - Propensity scoring (PS) is an established tool to account for measured confounding in non-randomized studies. These methods are sensitive to missing values, which are a common problem in observational data. The combination of multiple imputation of missing values and different propensity scoring techniques is addressed in this work. For a sample of lymph node-positive vulvar cancer patients, we re-analyze associations between the application of radiotherapy and disease-related and non-related survival. Inverse-probability-of-treatment-weighting (IPTW) and PS stratification are applied after multiple imputation by chained equation (MICE). Methodological issues are described in detail. Interpretation of the results and methodological limitations are discussed.

U2 - 10.1371/journal.pone.0165705

DO - 10.1371/journal.pone.0165705

M3 - SCORING: Journal article

C2 - 27802342

VL - 11

SP - e0165705

JO - PLOS ONE

JF - PLOS ONE

SN - 1932-6203

IS - 11

ER -