1. Harel, O. (2009) Strategies for Data Analysis with Two Types of Missing Values: From Theory to Application,Lambert Academic Publishing. (Amazon or Morebooks)

manuscripts published and In-press (Last updated 2.23.2021)

  1. Crespi, C.M. and Harel, O. “Guest Editorial: Articles Selected from the 2020 International Conference on Health Policy Statistics.” Health Services and Outcomes Research Methodology, In Press.
  2. Smith, MA., Vuernick, E., Anderson, D., Mulrooney, M., Harel, O. and 1Allotey, P. “Pharmacist eConsult Service for Primary Care Medication Optimization and Safety.” Journal of the American Pharmacists Association, In press.
  3. 1Sidi, Y. and Harel, O. “Non-inferiority clinical trials with binary outcome: statistical
    methods used in practice.” Statistics in Biopharmaceutical Research, In press.
  4. Ginsburg, G., Drake, K., Muggeo, M., Stewart, C., Pikulski, P., 1Zheng, D. and Harel, O. “A pilot RCT of a school nurse delivered intervention to reduce student anxiety.” Journal of Clinical Child and Adolescent Psychology, In press.
  5. 1Sidi, Y. and Harel, O. (2020) “Comprehensive benefit-risk assessment of non-inferior treatments using multi-criteria decision analysis.” Value in Health, 23(12), 1622—1629,
  6. Harel, O. and Zigler, C. (2020) “A conversation with Tom Belin – 2020 HPSS Long-Term Excellence Award winner.” Health Services and Outcomes Research Methodology, 20, 195–207.
  7. 1Sidi, Y. and Harel, O. (2020) “Incomplete data analysis of non-inferiority clinical trials: difference in binomial proportions case.” Contemporary Clinical Trials Communications, 18, 1-7, doi: 10.1016/j.conctc.2020.100567.
  8. 1Zha, R. and Harel, O. (2019) “Power calculation in multiply imputed data.” Statistical Papers,
  9. Wood, J., Matthews, G., Pellowski, J. and Harel, O. (2019) “Comparing different planned missingness designs in longitudinal studies.” Sankhya B, 81(2), 226-250.
  10. 1Allotey, P. and Harel, O. (2019) “Multiple Imputation for Incomplete Data in Environmental Epidemiology Research.” Current Environmental Health Reports, 6(2), 62–71.
  11. 1Xue, Y., Harel, O. and Aseltine, R. (2019) “Imputing Race and Ethnic Information in Administrative Health Data.” Health Services Research, 54, 957–963.
  12. 1Larose, C., Dey, D. and Harel, O. (2019) “The Impact of Missing Values on Different Measures of Uncertainty.” Statistica Sinica, 29(2), 551-566.
  13. Cho, H., Matthews, G., and Harel, O. (2019) “Performance evaluation of the Wald-type confidence interval methods of the area under the receiver operating characteristic curve in the presence of ignorable missingness.” International Statistical Review, 87(1), 152–177.
  14. Bassan, S. and Harel, O. (2018) “Health-related research in Big Data from Multiple Sources – The Ethics in Synthetics.” Journal of Law and Health, 31(1), 87.
  15. 1Sidi, Y. and Harel, O. (2018) “The treatment of incomplete data: Reporting, analysis, reproducibility, and replicability.” Social Science & Medicine, 209, 169-173.
  16. Casline, E., Pella, J., 1Zheng, D., Harel, O., Drake, K. and Ginsburg, G. (2018) “Parental Responses to Children’s Avoidance in Fear-Provoking Situations: Relation to Child Anxiety and Mediators of Intervention Response.” Child & Youth Care Forum, 47(4), 443-462.
  17. Perkins, N.J.; Harel, O. and the missing data group. (2018) “Principled approaches to missing data in epidemiologic studies.” American Journal of Epidemiology, 187(3), 568–575 .
  18. Harel, O., Mitchell, E. and the missing data group. (2018) “Multiple imputation for incomplete data in epidemiological studies.” American Journal of Epidemiology,187(3), 576–584.
  19. Sun, B.; Tchetgen Tchetgen, E.J.; Harel, O. and the missing data group. (2018) “Inverse probability weighted estimation for monotone and nonmonotone missing data.” American Journal of Epidemiology, 187(3), 585–591.
  20. Sharifi-Sanjani, M., Oyster, N., Tichy, E., Bedi, K., Harel, O., Margulies, K. and Mourkioti, F. (2017) “Cardiomyocyte-specific telomere shortening is a distinct signature of heart failure in humans.” Journal of the American Heart Association, 6(9), e005086.
  21. Matthews, G., Aseltine, R. and Harel, O. (2017) “A review of statistical disclosure control techniques employed by web-based data query systems.” Journal of Public Health Management and Practice, 23(4), e1–e4.
  22. Matthews, G., Harel, O. and Aseltine, R. (2016) “Privacy protection and aggregate health data: A review of methods (not) employed in public health data systems.” Health Services and Outcomes Research Methodology, 16(4), 258–270.
  23. Bartlett, J., Harel, O. and Carpenter, J. (2016) “Response to Letter to the Editor by Cologne and Furukawa Re: Asymptotically unbiased estimation of exposure odds ratios in complete records logistic regression.” American Journal of Epidemiology, 184(2), 161. doi: 10.1093/aje/kww067.
  24. 1McGinniss, J. and Harel, O. (2016) “Multiple imputation in three or more stages.” Journal of Statistical Planning and Inference, 176, 33–51. doi:10.1016/j.jspi.2016.04.001.
  25. Harel, O. and 1Nazzaro V. (2016) “Re-thinking data collection for HIV prevention trials.” Journal of Acquired Immune Deficiency Syndromes, 72(4), 462–464.
  26. Thomas, N., Harel, O. and Little, R.J.A. (2016) “Analyzing clinical trial outcomes based on incomplete daily diary reports.” Statistics in Medicine, 35(17), 2894–2906. doi: 10.1002/sim.6890.
  27. 2Jung, J., Harel, O. and Kang, S. (2016) “Fitting additive hazards model for case-cohort studies: A multiple imputation approach.” Statistics in Medicine, 35(17), 2975–2990.
  28. Gerlock, A., Szarka, J., Brousseau, K. and Harel, O. (2016) “Comparing intimately violent to non-violent veterans in treatment for posttraumatic stress disorder.” Journal of Family Violence, 31: 667–678.
  29. 1Larose, C., Harel, O., Kordasc, K. and Dey, D. (2016) “Latent class analysis of incomplete data via an entropy-based criterion.” Statistical Methodology, 32: 107-121.
  30. Bartlett, J., Harel, O. and Carpenter, J. (2015) “Unbiased estimation of exposure odds ratios in complete records logistic regression.” American Journal of Epidemiology, 182(8), 730-736.
  31. Matthews, G. and Harel, O. (2015) “Examining statistical disclosure issues involving digital images of ROC curves.” Stat, 4: 235–245. doi: 10.1002/sta4.93.
  32. Gans, K., Risica, P., Dulin-Keita, A., Mello, J., Dawood, M., Strolla, L. and Harel, O. (2015) “Innovative video tailoring for dietary change: final results of the Good for you! cluster randomized trial.” International Journal of Behavioral Nutrition and Physical Activity, 12(130), 1-13.
  33. Harel, O., 1Stratton, J. and Aseltine, R. (2015) “Designed missingness to better estimate efficacy of behavioral studies – Application to suicide prevention trials.” Journal of Medical Statistics and Informatics, 3(2), 1-7.
  34. 1Chaurasia, A. and Harel, O. (2015) “Partial F-tests with multiply imputed data in the linear regression framework via coefficient of determination.” Statistics in Medicine, 34(3), 432–443.
  35. Van Hook, J., Bachmeier. J.D., Coffman, D. and Harel, O. (2015) “Can we spin straw into gold? An evaluation of legal status imputation approaches.” Demography, 52(1), 329-354.
  36. Harel, O., Perkins, N. and Schisterman, E. (2014) “The use of multiple imputation for data subject to limits of detection” Sri Lankan Journal of Applied Statistics, 5(4), 227-246.
  37. Kalichman, S., Cain, D., Carey, K., Carey, M,. Eaton, L., Simbayi, L., Harel, O., Mehlomakhulu, V. and Mwaba, K. (2014) “Randomized community-level HIV prevention intervention trial for men who drink in South African alcohol-serving venues” European Journal of Public Health, 24(5), 833-839.
  38. Thompkins, A., Chauveron, L., Harel, O. and Perkins, D. (2014) “Optimizing violence prevention programs: an examination of program effectiveness among urban middle adolescents” Journal of School Health, 84(7), 435-443.
  39. Mthembu, J.,  Simbayi, L., Onoya, D., Mehlomakulu, V., Vermaak, R., Mwaba, K., Cain, D., Kalichman, S., Harel, O., Carey, M., Carey, K. (2014) “Sexism, gender-based violence and risk behaviour among men in a South African township” Journal of Violence and Gender, 1(2): 53-59.
  40. Fortinsky, R., Delaney, C., Harel, O., Pasquale, K., Schjavland, E., Lynch, J. and  Kleppinger, A. (2014) “Results and lessons learned from a nurse practitioner-guided dementia care intervention for primary care patients and their family caregivers” Research in Gerontological Nursing, 7(3), 126-37.
  41. Siddique, J., Harel, O., Crespi, C.M. and Hedeker, D. (2014) “Binary variable multiple-model multiple imputation to address missing data mechanism uncertainty: Application to a smoking cessation trial” Statistics in Medicine, 33: 3013–3028.
  42. Cain, D., Kalichman, S. C.,  Harel, O., Mthembu, J., Carey, M. P., Carey, K. B., Mehlomakulu, V., Simbayi, L. C., Mwaba, K. (2013) “Collective efficacy and HIV prevention in South African townships” Journal of Community Health, 38, 885-893.
  43. 1Chaurasia, A. and Harel, O. (2013) “Model selection rates of information based criteria” Electronic Journal of Statistics, 7, 2762–2793.
  44. Matthews, G. and Harel, O. (2013) “An examination of data confidentiality and disclosure issues related to publication of empirical ROC curves” Academic Radiology, 20(7), 889-896.
  45. Harel, O., Chung, H. and Miglioretti, D. (2013) “Latent class regression: inference and estimation with two-stage multiple imputation” Biometrical  Journal, 55(4), 541–553.
  46. Eaton, L., Kalichman, S., Kenny, D. and Harel, O. (2013) “A reanalysis of a behavioral intervention to prevent incident HIV infections: Including indirect and direct effects in modeling outcomes of Project EXPLORE” AIDS Care, 25(7), 805-811.
  47. Kalichman, S., Pitpitan, P., Eaton, L., Cain, D., Carey, K., Carey, M., Harel, O., Simbayi, L. and Mwaba, K. (2013) “Bringing it home: HIV risks to primary sex partners of men and women in alcohol serving establishments, Cape Town, South Africa” Sexually Transmitted Infections, 89(3), 231-236.
  48. Yan, J., Aseltine, R. and Harel, O. (2013) “Comparing regression coefficients between nested models for clustered data with generalized estimating equations” Journal of Educational and Behavioral Statistics, 38(2), 172-189.
  49. 1Boyko, J. and Harel, O. (2013) “Mi??ing data: Should we c?re?” The American Journal of Public Health, 103(2), 200-201.
  50. Scott-Sheldon, L.A.J., Carey, M.P., Carey, K.B., Cain, D., Harel, O., Mehlomakulu, V., Mwaba, K., Simbayi, L.C. and Kalichman, S.C. (2012) “Patterns of alcohol use and sexual behaviors among current drinkers in Cape Town, South Africa” Addictive Behaviors, 37(4), 492–497.
  51. Pitpitan E., Kalichman S., Cain D., Eaton L., Carey K., Carey, M., Harel, O., Simbayi, L. and Mwaba, K. (2012) Condom negotiation, HIV testing, and HIV risks among women from alcohol serving venues in Cape Town, South Africa. PLoS ONE 7(10): e45631. doi:10.1371/journal.pone.0045631
  52. Siddique, J., Harel, O. and Crespi, C.M. (2012) “Addressing missing data mechanism uncertainty using multiple-model multiple imputation: application to a longitudinal clinical trial” Annals of Applied Statistics, 6(4), 1814-1837.
  53. Cain, D., 1Pare, V.,  Kalichman, S. C.,  Harel, O., Mthembu, J., Carey, M. P., Carey, K. B., Mehlomakulu, V., Simbayi, L. C., Mwaba, K. (2012) “HIV risks associated with patronizing alcohol serving establishments in South African townships, Cape Town.”  Prevention Science, 13, 627–634.
  54. Thompkins, A., Chauveron, L. and Harel, O. (2012) “Urban youth violence prevention: effectiveness of a scaled-up practice-to-research program” Journal of Children’s Services, 7(4), 246-261.
  55. Martin, K., Havens, E., Boyle, K., 1Matthews, G., Schilling, E., Harel, O. and Ferris, A. (2012) “If you stock it, will they buy it? Healthy food availability and customer purchasing behavior within corner stores in Hartford, CT.”  Public Health Nutrition, 15(10), 1973-1978.
  56. Harel, O. Pellowski, J. and Kalichman, S. (2012) ”Are we missing the importance of missing values in HIV prevention randomized clinical trials? Review and Recommendations” AIDS and Behavior, 16(6), 1382-1393.
  57. 1Matthews, G. and Harel, O. (2012) “Assessing the privacy of randomized vector valued queries to a database using the area under the receiver-operator characteristic curve” Health Services and Outcomes Research Methodology, 12(2-3), 141-155.
  58. 1Chaurasia, A. and Harel, O. (2012) “Using AIC in multiple linear regression framework with multiply imputed data” Health Services and Outcomes Research Methodology, 12(2-3), 219-233.
  59. Judge, M.D., Cong, X., Harel, O., Courville, A.P. and Lammi-Keefe, C.J. (2012) “Maternal consumption of a DHA-containing functional food benefits infant sleep patterning: an early neurodevelopmental measure” Early Human Development, 88, 531–537.
  60. Kalichman, S.C., Pinkerton, S.D., Carey, M.P., Cain, D., Mehlomakulu, V., Carey, K.B., Simbayi, L.C., Mwaba, K. and Harel, O. (2011) “Heterosexual anal intercourse and HIV infection risks in the context of alcohol serving venues, Cape Town, South Africa.” BMC Public Health. 11:807.
  61. Wagstaff, D.A. and Harel, O. (2011) “A closer examination of three small-sample approximations to the multiple imputation degrees of freedom” Stata Journal, 11(3), 403-419.
  62. Harel, O., Mukhopadhyay, N. and Yan, J. (2011) “On a sequential probability ratio test (SPRT) subject to incomplete data” Sequential Analysis, 30(4), 441-456.
  63. Gerlock, A., Grimesey, J., Pisciotta, A. and Harel, O. (2011) “Intimate partner violence perpetration as a healthcare issue: documentation for male veterans with posttraumatic stress disorder” American Journal of Nursing, 111(11), 26-32.
  64. Gerlock, A., Grimesey, J., Pisciotta, A. and Harel, O. (2011) “Ask a few more questions: identifying and responding to intimate partner violence perpetration in the clinical setting” American Journal of Nursing, 111(11), 35-39.
  65. Harel, O. and Demirtas, H. (2011) Letter to the editor on “Joint modeling of missing data due to non-participation and death in longitudinal aging studies” Statistics in Medicine, 30(21), 2663–2665.
  66. 1Black, A., Harel, O. and McCoach, B. (2011) “Missing data techniques for multilevel data:  implications of model misspecification” Journal of Applied Statistics, 38(9), 1845–1865.
  67. Scott-Sheldon, L.A.J., Carey, M.P., Carey, K.B., Cain, D., Vermaak, R., Mthembu, J., Simbayi, L.C., Harel, O. and Kalichman, S.C. (2011) “Impact of HIV testing on sexual health communication in South Africa” Sexually Transmitted Infections, 87(3), 242–247.
  68. 1Matthews, G. and Harel, O. (2011) Data Confidentiality: A review of methods for statistical disclosure limitation and methods for assessing privacy” Statistics Surveys, 5, 1—29 (electronic). DOI: 10.1214/11-SS074.
  69. 1Courville, A.B., Harel, O. and Lammi-Keefe, C.J. (2011) “Consumption of a docosahexaenoic acid containing functional food during pregnancy decreases infant ponderal index and cord plasma insulin concentration” British Journal of Nutrition, 106, 208–212.
  70. Harel, O., Liu, J. and Dey, D. (2010) “Baltic sea precarids diurnal activity data: issues on multiple imputation in overdispersed Poisson regression model and model selection” Calcutta Statistical Association Bulletin, 62(247-248), 261–276.
  71. Harel, O. and the Academic ED SBIRT Research Collaborative. (2010) “The impact of screening, brief intervention and referral for treatment in emergency department patients’ alcohol use: A 3-, 6- and 12-month Follow-up” Alcohol & Alcoholism, 45(6), 514–519.
  72. Felker, B., Bush, K., Harel, O., Shofer, J., Au, D.H., Shores, M. and Kivlahan, D. (2010) “Health status and prevalence of mental disorders in patients with chronic obstructive pulmonary disease” The Primary Care Companion to The Journal of Clinical Psychiatry, 12(4). pii: PCC.09m00858.
  73. 1Matthews, G., Harel, O. and Aseltine, R. (2010) “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.
  74. Albert, P.S., Harel, O., Perkins, N. and Browne, R. (2010) “The use of multiple assays subject to detection limits with regression modeling in assessing the relationship between exposure and outcome” Epidemiology, 21(4) (Supplement):S35-S43.
  75. 1Guo, Y., Harel, O. and Little, R.J. (2010) “How well quantified is the limit of quantification?” Epidemiology, 21(4) (Supplement):S10-S16.
  76. 1Das, S., Harel, O., Dey, D., Covault, J. and Kranzler, H. (2010) “Analysis of extreem drinking in patients with alcohol dependence using Pareto regression” Statistics in Medicine, 29(11), 1250-1258.
  77. 1Matthews, G., Harel, O. and Aseltine, R. (2010) “Examining the robustness of fully synthetic data techniques for data with binary variables”  Journal of Statistical Computation and Simulation, 80(6), 609-624.
  78. Harel, O. (2009) “The estimation of R2 and adjusted R2 in incomplete data-sets using multiple imputation” Journal of Applied Statistics, 36(10), 1109-1118.
  79. Harel, O. and 1Stratton, J. (2009) “Inferences on the outfluence — how do missing values impact your analysis?” Communications in Statistics-Theory & Methods, 38(16), 2884-2898.
  80. Henderson, J., Miller, N., Guillard, K., Harel, O. and 1Raman, B. (2009) “Late fall sod installation produces greater rooting strength of Poa pratensis during the subsequent growing season” Plant Management Network, Online, Science doi:10.1094/ATS-2009-0724-01-RS.
  81. Siddique, J. and Harel, O. (2009) “MIDAS: a SAS macro for multiple imputation using distance-aided selection of donors” Journal of Statistical Software, 29, 1-18.
  82. Harel, O. and Schafer, J.L. (2009) “Partial and latent ignorability in missing-data problems” Biometrika, 96, 37-50; doi:10.1093/biomet/asn069.
  83. Wagstaff, D.A., Kranz, S. and Harel, O. (2009) “A preliminary study of active compared with passive imputation of missing body mass index values among non-Hispanic white youths” American Journal of Clinical Nutrition, 89, 1025-1030.
  84. Harel, O. (2008) “Outfluence – the impact of missing values” Model Assisted Statistics and Applications, 3(2), 161-168.
  85. Koepsell, T.D., Kurland, B.F., Harel, O., Johnson, E.A., Zhou, X.H. and Kukull, W.A. (2008) “Education, cognitive function, and severity of neuropathology in Alzheimer’s disease” Neurology, 70, 1732-1739. DOI: 10.1212/01.wnl.0000284603.85621.aa.
  86. Harel, O., Schisterman, E.F., Vexler, A. and Ruopp, M.D. (2008) “Monitoring quality control: can we get better data?” Epidemiology, 19(4), 621-627.
  87. Harel, O. for SBIRT Collaborative. (2007) “The impact of screening, brief intervention and referral for treatment (SBIRT) on emergency department patients’ alcohol use” Annals of Emergency Medicine, 50(6), 699-710.
  88. Bauer, L.O., Covault, J., Harel, O., 1Das, S., Anton, R. and Kranzler, H.R. (2007) “Variation in genes encoding GABA-A subunits predicts drinking behavior in project MATCH” Alcoholism: Clinical and Experimental Research, 31(11), 1780-1787.
  89. 1Judge, M.P., Harel, O. and Lammi-Keefe, C.J. (2007) “Maternal consumpsion of DHA-functional food during pregnancy: benefit for infant performance on problem-solving but not recognition memory tasks at 9 months of age” American Journal of Clinical Nutrition, 85(6), 1572-1577.
  90. 1Judge, M.P., Harel, O. and Lammi-Keefe, C.J. (2007) “A docosahexaenoic acid-functional food during pregnancy benefits infant visual acuity at 4 but not 6 months of age” Lipids, 42(2), 117-122. DOI 10.1007/s11745-006-3007-3.
  91. Harel, O. and Zhou, X.H. (2007) “Multiple imputation review of theory implementation and software”  Statistics in Medicine, 26(16), 3057-3077. DOI: 10.1002/sim.2787.
  92. Harel, O. and Zhou, X.H. (2007) “Multiple imputation for comparing accuracies of two competing screening tests in two-phase studies” Statistics in Medicine, 26(11), ○2370-2388. DOI: 10.1002/sim.2715.
  93. Harel, O. and Miglioretti, D. (2007)  “Latent class analysis and the rate of missing information” Journal of Data Science, 5, 269-288.
  94. Harel, O. (2007) “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.
  95. Harel, O., Hofer, S.M., Hoffman, L., Pedersen, N.L. and Johansson, B. (2007) “Population inference with mortality and attrition in longitudinal studies of aging: examination of a two-stage multiple imputation method” Experimental Aging Research, 33(2), 187-203. DOI:10.1080/03610730701239004.
  96. Harel, O. and Zhou, X.H. (2007) “Rejoinder to multiple imputation for correcting verification bias”  Statistics in Medicine, 26(15) , 3047-3050. DOI: 10.1002/sim.2843.
  97. Harel, O. and Zhou, X.H. (2006) “Multiple imputation for correcting verification bias”  Statistics in Medicine, 25(22), 3769-3786. DOI: 10.1002/sim.2494.
  98.     Harel, O. and Zhou, X.H. (2008) “Correction” Statistics in Medicine. 27, 4614-4616.
  99. Heinrichs, A. J., Heinrichs, B. S.,  Harel, O., Rogers, G. W., and Place, N. T. (2005) “A prospective study of calf factors affecting age, body size, and body condition score at first calving of Holstein dairy heifers” Journal of Dairy Science, 88, 2828-2835.

 1Student under supervision

2Post-doc under supervision

Refereed proceeding papers and book chapters

  1. Henle, T., Matthews, G.J. and Harel, O. (2018) “Data Confidentiality.” Book chapter in Gatsonis, C. and Sobolev, B.G. (Eds) Methods in Health Services Research.
  2. Schifano, E., Bar, H. and Harel, O. (2015) “Methods for analyzing secondary outcomes in public health case-control studies.” Book chapter submitted to Chen, D. and Wilson, J. (Eds.)  Innovative Statistical Methods for Public Health Data. 3-15.
  3. Pare, V. and Harel, O. (2015) “Techniques for analyzing incomplete data in public health research.” Book chapter submitted to Chen, D. and Wilson, J. (Eds.)  Innovative Statistical Methods for Public Health Data. 153-171.
  4. Harel, O., 1Stratton, J. and Aseltine, R. (2012) “Designed missingness to better estimate efficacy of behavioral studies” Proceedings of the Tenth Conference on Health Survey Research Methods. pp. 149-154, National Center for Health Statistics.
  5. Black, A.C.,  Harel, O. and 1Matthews, G. (2012) “Techniques for analyzing intensive longitudinal data with missing values” In M. R. Mehl and T. S. Conner (Eds.) Handbook of research methods for studying daily life. pp. 339-356, Guilford.
  6. Harel, O. (2009) “The impact of model mis-specification on the outfluence” World Scientific Proceedings Series on Computer Engineering and Information Science – Intelligence decision making systems, pp. 221-226, World Scientific.
  7. Rajasekaran, S., Harel, O., Zuba, M., Matthews, G. and Aseltine, R. (2009) “Responsible data releases” Proc. 9th Industrial Conference on Data Mining (ICDM), pp. 388–400, Springer LNCS.
  8. Harel, O., Zimmerman, R. and Dekhtyar, O. (2008) “Approaches to the handling of missing data in communication research” In A. F. Hayes, M.D. Slater, & L. B. Snyder (Eds.) The SAGE sourcebook of advanced data analysis methods for communication research. Thousand Oaks, CA: Sage Publications..

1Student under supervision