Don't Miss Out
Publications
Missing data publications
Eekhout, I., van de Wiel, M.A., Heymans, M.W. (2017). Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis. BMC Medical Research Methodology, 17(1):129. Pubmed Link
Eekhout, I. de Vet, H.C.W., de Boer, M.R., Twisk, J.W.R., Heymans, M.W. (2016). Passive imputation and parcel summaries are both valid to handle missing items in studies with multi-item scales. Statistical Methods for Medical Research. Jun 22. Epub. Pubmed link
MacNeil-Vroomen, J., Eekhout, I. , Dijkgraaf, M.G., Van Hout, H., De Rooij, S.E. , Heymans, M.W., Bosmans, J.E., (2016) Multiple imputation strategies for zero-inflated cost data in economic evaluations: which method works best? European Journal of Health Economics, 17(8):939-950. Pubmed link
Eekhout, I., Enders, C.K., Twisk, J.W.R., De Boer, M.R., de Vet, H.C.W., Heymans, M. W. (2015). Longitudinal data analysis with auxiliary item information to handle missing questionnaire data. Journal of Clinical Epidemiology, 68(6):637-645.
Eekhout, I., Enders, C.K., Twisk, J.W.R., De Boer, M.R., de Vet, H.C.W., Heymans, M. W. (2015). Analyzing Incomplete Item Scores in Longitudinal Data by Including Item Score Information as Auxiliary Variables. Structural Equation Modeling: A Multidisciplinary Journal, 00, 1-15.
Link Mplus Manual for including auxiliary item information
Eekhout, I. (2014). Don't Miss Out! Incomplete data can contain valuable information. PhD Dissertation.
ISBN: 978-90-5335-964-8 Link
Eekhout, I., de Vet, H.C.W., Twisk, J.W.R., Brand, J.P.L., de Boer, M.R., & Heymans, M.W. (2013). Missing data in a multi-item instrument were best handled by multiple imputation at the item score level. Journal of Clinical Epidemiology, 67(3), 335-342. Pubmed link R Manual for making missing data
Eekhout, I., de Boer, M.R., Twisk, J.W., de Vet, H.C., & Heymans, M.W. (2012). Missing data: a systematic review of how they are reported and handled. Epidemiology, 23(5), 729-732. Pubmed link
Rater agreement publications
de Vet, H.C.W., Mullender, M.G., Eekhout, I. (2017). Specific agreement on ordinal and multiple nominal outcomes can be calculated for more than two raters. Journal of Clinical Epidemiology, Dec 4 Epub. Pubmed Link.
de Vet, H.C.W., Dikmans, R.E., Eekhout, I. (2017). Specific agreement on dichotomous outcomes can be calculated for more than two raters. Journal of Clinical Epidemiology, 83:85-89. Pubmed link
Longitudinal modelling publications
Eekhout, I., Geuze, E., Vermetten, E. (2016) The long-term burden of military deployment on the halth care system. Journal of Psychiatric Research, 79:78-85. Pubmed link
Eekhout, I., Reijnen, A., Vermetten, E., Geuze, E., (2016). The change in posttraumatic stress symptoms after deployment to Afghanistan: a 5 year follow-up. Lancet Psychiatry, 3(1):58-64.
Other publications
Terluin, B., Eekhout, I., Terwee, C.B. (2017). The anchor-based minimal important change, based on receiver operating characteristic analysis or predictive modelling, may need to be adjusted for the proportion of improved patients. Journal of Clinical Epidemiology. 93:90-100. Pubmed link
Terluin, B., Eekhout, I., Terwee, C.B., de Vet, H.C.W. (2015). Minimal important change (MIC) based on a predictive modeling aproach was more precise than MIC based on ROC analysis. Journal of Clinical Epidemiology, Mar 28.