| Year |
Citation |
Score |
| 2020 |
Sidi Y, Harel O. Incomplete data analysis of non-inferiority clinical trials: Difference between binomial proportions case. Contemporary Clinical Trials Communications. 18: 100567. PMID 32426549 DOI: 10.1016/J.Conctc.2020.100567 |
0.319 |
|
| 2019 |
Xue Y, Harel O, Aseltine RH. Imputing race and ethnic information in administrative health data. Health Services Research. PMID 31099021 DOI: 10.1111/1475-6773.13171 |
0.321 |
|
| 2019 |
Allotey PA, Harel O. Multiple Imputation for Incomplete Data in Environmental Epidemiology Research. Current Environmental Health Reports. 6: 62-71. PMID 31090043 DOI: 10.1007/S40572-019-00230-Y |
0.399 |
|
| 2019 |
Cho H, Matthews GJ, Harel O. Confidence Intervals for the Area Under the Receiver Operating Characteristic Curve in the Presence of Ignorable Missing Data. International Statistical Review = Revue Internationale De Statistique. 87: 152-177. PMID 31007356 DOI: 10.1111/Insr.12277 |
0.337 |
|
| 2019 |
Harel O. Missing and Modified Data in Nonparametric Estimation: With R Examples. Journal of the American Statistical Association. 114: 1421-1423. DOI: 10.1080/01621459.2019.1662248 |
0.313 |
|
| 2018 |
Sidi Y, Harel O. The treatment of incomplete data: Reporting, analysis, reproducibility, and replicability. Social Science & Medicine (1982). PMID 29807627 DOI: 10.1016/J.Socscimed.2018.05.037 |
0.39 |
|
| 2017 |
Perkins NJ, Cole SR, Harel O, Tchetgen Tchetgen EJ, Sun B, Mitchell EM, Schisterman EF. Principled Approaches to Missing Data in Epidemiologic Studies. American Journal of Epidemiology. PMID 29165572 DOI: 10.1093/Aje/Kwx348 |
0.418 |
|
| 2017 |
Sun B, Perkins NJ, Cole SR, Harel O, Mitchell E, Schisterman EF, Tchetgen Tchetgen EJ. Inverse Probability Weighted Estimation for Monotone and Nonmonotone Missing Data. American Journal of Epidemiology. PMID 29165557 DOI: 10.1093/Aje/Kwx350 |
0.429 |
|
| 2017 |
Harel O, Mitchell EM, Perkins NJ, Cole SR, Tchetgen Tchetgen EJ, Sun B, Schisterman EF. Multiple Imputation for Incomplete Data in Epidemiologic Studies. American Journal of Epidemiology. PMID 29165547 DOI: 10.1093/Aje/Kwx349 |
0.398 |
|
| 2016 |
Matthews GJ, Harel O, Aseltine RH. A Review of Statistical Disclosure Control Techniques Employed by Web-Based Data Query Systems. Journal of Public Health Management and Practice : Jphmp. PMID 27798533 DOI: 10.1097/Phh.0000000000000473 |
0.322 |
|
| 2016 |
Larose C, Harel O, Kordas K, Dey DK. Latent Class Analysis of Incomplete Data via an Entropy-Based Criterion. Statistical Methodology. 32: 107-121. PMID 27695391 DOI: 10.1016/J.Stamet.2016.04.004 |
0.367 |
|
| 2016 |
Harel O, Nazzaro V. Re-thinking data collection for HIV prevention trials. Journal of Acquired Immune Deficiency Syndromes (1999). PMID 27031292 DOI: 10.1097/Qai.0000000000001005 |
0.319 |
|
| 2016 |
Thomas N, Harel O, Little RJ. Analyzing clinical trial outcomes based on incomplete daily diary reports. Statistics in Medicine. PMID 26888661 DOI: 10.1002/Sim.6890 |
0.435 |
|
| 2016 |
McGinniss J, Harel O. Multiple imputation in three or more stages Journal of Statistical Planning and Inference. 176: 33-51. DOI: 10.1016/J.Jspi.2016.04.001 |
0.446 |
|
| 2016 |
Matthews GJ, Harel O, Aseltine RH. Privacy protection and aggregate health data: a review of tabular cell suppression methods (not) employed in public health data systems Health Services and Outcomes Research Methodology. 16: 258-270. DOI: 10.1007/S10742-016-0162-8 |
0.381 |
|
| 2015 |
Bartlett JW, Harel O, Carpenter JR. Asymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic Regression. American Journal of Epidemiology. 182: 730-6. PMID 26429998 DOI: 10.1093/Aje/Kwv114 |
0.418 |
|
| 2015 |
Jung J, Harel O, Kang S. Fitting additive hazards models for case-cohort studies: a multiple imputation approach. Statistics in Medicine. PMID 26194861 DOI: 10.1002/Sim.6588 |
0.371 |
|
| 2015 |
Van Hook J, Bachmeier JD, Coffman DL, Harel O. Can we spin straw into gold? An evaluation of immigrant legal status imputation approaches. Demography. 52: 329-54. PMID 25511332 DOI: 10.1007/S13524-014-0358-X |
0.383 |
|
| 2015 |
Chaurasia A, Harel O. Partial F-tests with multiply imputed data in the linear regression framework via coefficient of determination. Statistics in Medicine. 34: 432-43. PMID 25345392 DOI: 10.1002/Sim.6334 |
0.323 |
|
| 2014 |
Siddique J, Harel O, Crespi CM, Hedeker D. Binary variable multiple-model multiple imputation to address missing data mechanism uncertainty: application to a smoking cessation trial. Statistics in Medicine. 33: 3013-28. PMID 24634315 DOI: 10.1002/Sim.6137 |
0.402 |
|
| 2013 |
Matthews GJ, Harel O. An examination of data confidentiality and disclosure issues related to publication of empirical ROC curves. Academic Radiology. 20: 889-96. PMID 23747154 DOI: 10.1016/J.Acra.2013.04.011 |
0.41 |
|
| 2013 |
Harel O, Chung H, Miglioretti D. Latent class regression: inference and estimation with two-stage multiple imputation. Biometrical Journal. Biometrische Zeitschrift. 55: 541-53. PMID 23712802 DOI: 10.1002/Bimj.201200020 |
0.341 |
|
| 2013 |
Harel O, Boyko J. Mi??ing data: should we c?re? American Journal of Public Health. 103: 200-1. PMID 23237157 DOI: 10.2105/Ajph.2012.300904 |
0.401 |
|
| 2013 |
Yan J, Aseltine RH, Harel O. Comparing Regression Coefficients Between Nested Linear Models for Clustered Data With Generalized Estimating Equations Journal of Educational and Behavioral Statistics. 38: 172-189. DOI: 10.3102/1076998611432175 |
0.385 |
|
| 2012 |
Siddique J, Harel O, Crespi CM. Addressing Missing Data Mechanism Uncertainty using Multiple-Model Multiple Imputation: Application to a Longitudinal Clinical Trial. The Annals of Applied Statistics. 6: 1814-1837. PMID 23503984 DOI: 10.1214/12-Aoas555 |
0.419 |
|
| 2012 |
Chaurasia A, Harel O. Using AIC in Multiple Linear Regression framework with Multiply Imputed Data. Health Services & Outcomes Research Methodology. 12: 219-233. PMID 22879799 DOI: 10.1007/S10742-012-0088-8 |
0.391 |
|
| 2012 |
Harel O, Pellowski J, Kalichman S. Are we missing the importance of missing values in HIV prevention randomized clinical trials? Review and recommendations. Aids and Behavior. 16: 1382-93. PMID 22223301 DOI: 10.1007/S10461-011-0125-6 |
0.354 |
|
| 2012 |
Matthews GJ, Harel O. Assessing the privacy of randomized vector-valued queries to a database using the area under the receiver operating characteristic curve Health Services and Outcomes Research Methodology. 12: 141-155. DOI: 10.1007/S10742-012-0093-Y |
0.358 |
|
| 2011 |
Matthews GJ, Harel O. Data confidentiality: A review of methods for statistical disclosure limitation and methods for assessing privacy Statistics Surveys. 5: 1-29. DOI: 10.1214/11-Ss074 |
0.356 |
|
| 2011 |
Wagstaff DA, Harel O. A closer examination of three small-sample approximations to the multiple-imputation degrees of freedom Stata Journal. 11: 403-419. DOI: 10.1177/1536867X19893645 |
0.339 |
|
| 2011 |
Harel O, Mukhopadhyay N, Yan J. On a Sequential Probability Ratio Test Subject to Incomplete Data Sequential Analysis. 30: 441-456. DOI: 10.1080/07474946.2011.619103 |
0.342 |
|
| 2011 |
Black AC, Harel O, Betsy McCoach D. Missing data techniques for multilevel data: Implications of model misspecification Journal of Applied Statistics. 38: 1845-1865. DOI: 10.1080/02664763.2010.529882 |
0.387 |
|
| 2010 |
Guo Y, Harel O, Little RJ. How well quantified is the limit of quantification? Epidemiology (Cambridge, Mass.). 21: S10-6. PMID 20526201 DOI: 10.1097/Ede.0B013E3181D60E56 |
0.312 |
|
| 2010 |
Albert PS, Harel O, Perkins N, Browne R. Use of multiple assays subject to detection limits with regression modeling in assessing the relationship between exposure and outcome. Epidemiology (Cambridge, Mass.). 21: S35-43. PMID 20386105 DOI: 10.1097/Ede.0B013E3181Ce9Eed |
0.316 |
|
| 2010 |
Harel O, Liu J, Dey D. Baltic Sea Peracarids Diurnal Activity Data : Issues On Multiple Imputation in Overdispersed Poisson Regression Model and Model Selection Calcutta Statistical Association Bulletin. 62: 261-276. DOI: 10.1177/0008068320100308 |
0.402 |
|
| 2010 |
Matthews GJ, Harel O, Aseltine RH. Examining the robustness of fully synthetic data techniques for data with binary variables Journal of Statistical Computation and Simulation. 80: 609-624. DOI: 10.1080/00949650902744438 |
0.401 |
|
| 2010 |
Matthews GJ, Harel O, Aseltine RH. Assessing database privacy using the area under the receiver-operator characteristic curve Health Services and Outcomes Research Methodology. 10: 1-15. DOI: 10.1007/S10742-010-0061-3 |
0.315 |
|
| 2009 |
Siddique J, Harel O. MIDAS: A SAS macro for multiple imputation using distance-aided selection of donors Journal of Statistical Software. 29: 1-18. DOI: 10.18637/Jss.V029.I09 |
0.416 |
|
| 2009 |
Harel O, Schafer JL. Partial and latent ignorability in missing-data problems Biometrika. 96: 37-50. DOI: 10.1093/Biomet/Asn069 |
0.424 |
|
| 2009 |
Harel O, Stratton J. Inferences on the outfluence - How do missing values impact your analysis? Communications in Statistics - Theory and Methods. 38: 2884-2898. DOI: 10.1080/03610920902947212 |
0.677 |
|
| 2009 |
Harel O. The estimation of R2 and adjusted R2 in incomplete data sets using multiple imputation Journal of Applied Statistics. 36: 1109-1118. DOI: 10.1080/02664760802553000 |
0.308 |
|
| 2008 |
Harel O, Schisterman EF, Vexler A, Ruopp MD. Monitoring quality control: can we get better data? Epidemiology (Cambridge, Mass.). 19: 621-7. PMID 18496467 DOI: 10.1097/Ede.0B013E318176Bfb2 |
0.349 |
|
| 2008 |
Harel O. Outfluence - The impact of missing values Model Assisted Statistics and Applications. 3: 161-168. DOI: 10.3233/Mas-2008-3209 |
0.381 |
|
| 2007 |
Harel O, Hofer SM, Hoffman L, Pedersen NL, Johansson B. Population inference with mortality and attrition in longitudinal studies on aging: a two-stage multiple imputation method. Experimental Aging Research. 33: 187-203. PMID 17364907 DOI: 10.1080/03610730701239004 |
0.308 |
|
| 2007 |
Harel O, Zhou XH. Multiple imputation: review of theory, implementation and software. Statistics in Medicine. 26: 3057-77. PMID 17256804 DOI: 10.1002/Sim.2787 |
0.421 |
|
| 2007 |
Harel O, Zhou XH. Multiple imputation for the comparison of two screening tests in two-phase Alzheimer studies. Statistics in Medicine. 26: 2370-88. PMID 17054089 DOI: 10.1002/Sim.2715 |
0.344 |
|
| 2007 |
Harel O. Inferences on missing information under multiple imputation and two-stage multiple imputation Statistical Methodology. 4: 75-89. DOI: 10.1016/J.Stamet.2006.03.002 |
0.322 |
|
| 2006 |
Harel O, Zhou XH. Multiple imputation for correcting verification bias. Statistics in Medicine. 25: 3769-86. PMID 16435337 DOI: 10.1002/Sim.2494 |
0.335 |
|
| Show low-probability matches. |