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Year: 2009

  • Alosh, M. (2009). The Impact of Missing Data In A Generalized Integer-valued Autoregression Model For Count Data. Journal of Biopharmaceutical Statistics, 19(6), 1039-1054. [More] [Bibtex]
  • Anonymous. (2009). Systematically missing confounders in individual participant data meta-analysis of observational cohort studies. Statistics in Medicine, 28(8), 1218-1237. [More] [Bibtex]
  • Belin, T. R. (2009). Missing Data: What a Little Can Do, and What Researchers Can Do in Response. American Journal of Ophthalmology, 148(6), 820-822. [More] [Bibtex]
  • Berard, A., Nakhai-Pour, H. R. & Kulaga, S. (2009). Impact of Missing Data on Potential Confounders in Perinatal Pharmacoepidemiologic Studies Using Administrative Databases. Pharmacoepidemiology and Drug Safety, 18, S104-S104. [More] [Bibtex]
  • Berard, A., Nakhai-Pour, H. R. & Kulaga, S. (2009). Impact of Missing Data On Potential Confounders In Perinatal Pharmacoepidemiologic Studies Using Administrative Databases. Value In Health, 12(7), A392-A392. [More] [Bibtex]
  • Bergemann, T. L. & Huang, Z. (2009). A New Method to Account for Missing Data in Case-Parent Triad Studies. Human Heredity, 68(4), 268-277. [More] [Bibtex]
  • Boone, E. L., Ye, K. Y. & Smith, E. P. (2009). Using data augmentation via the Gibbs Sampler to incorporate missing covariate structure in linear models for ecological assessments. Environmental and Ecological Statistics, 16(1), 75-87. [More] [Bibtex]
  • Chen, H., Geng, Z. & Zhou, X. H. (2009). Identifiability and Estimation of Causal Effects in Randomized Trials with Noncompliance and Completely Nonignorable Missing Data. Biometrics, 65(3), 675-682. [More] [Bibtex]
  • Chen, H. Y. (2009). Estimation and Inference Based on Neumann Series Approximation to Locally Efficient Score in Missing Data Problems. Scandinavian Journal of Statistics, 36(4), 713-734. [More] [Bibtex]
  • Chen, L. & Sun, J. G. (2009). A Multiple Imputation Approach to the Analysis of Current Status Data with the Additive Hazards Model. Communications In Statistics-theory and Methods, 38(7), 1009-1018. [More] [Bibtex]
  • Chen, T., Martin, E. & Montague, G. (2009). Robust probabilistic PCA with missing data and contribution analysis for outlier detection. Computational Statistics & Data Analysis, 53(10), 3706-3716. [More] [Bibtex]
  • Claassen, C., Kurian, B., Trivedi, M. H., Grannemann, B. D., Tuli, E., Pipes, R. et al. (2009). Telephone-based assessments to minimize missing data in longitudinal depression trials: A project IMPACTS study report. Contemporary Clinical Trials, 30(1), 13-19. [More] [Bibtex]
  • Cottrell, G., Cot, M. & Mary, J. Y. (2009). Multiple imputation of missing at random data: General points and presentation of a Monte-Carlo method. Revue D Epidemiologie Et De Sante Publique, 57(5), 361-372. [More] [Bibtex]
  • Damaraju, C. V., Olson, W. & Canuso, C. M. (2009). Dropouts and Missing Data in Psychiatric Clinical Trials Reply. American Journal of Psychiatry, 166(11), 1296-1296. [More] [Bibtex]
  • Demirtas, H. (2009). Multiple Imputation for Longitudinal Data Under a Bayesian Multilevel Model. Communications In Statistics-theory and Methods, 38(16-17), 2812-2828. [More] [Bibtex]
  • DeSouza, C. M., Legedza, A. T. & Sankoh, A. J. (2009). An Overview of Practical Approaches For Handling Missing Data In Clinical Trials. Journal of Biopharmaceutical Statistics, 19(6), 1055-1073. [More] [Bibtex]
  • Ding, X. & Laird, N. (2009). Family-Based Association Tests with Longitudinal Measurements: Handling Missing Data. Human Heredity, 68(2), 98-105. [More] [Bibtex]
  • Dow, M. M. & Eff, E. A. (2009). Multiple Imputation of Missing Data in Cross-Cultural Samples. Cross-cultural Research, 43(3), 206-229. [More] [Bibtex]
  • Egleston, B. L. & Wong, Y. N. (2009). Sensitivity analysis to investigate the impact of a missing covariate on survival analyses using cancer registry data. Statistics In Medicine, 28(10), 1498-1511. [More] [Bibtex]
  • Elobeid, M. A., Padilla, M. A., McVie, T., Thomas, O., Brock, D. W., Musser, B. et al. (2009). Missing Data in Randomized Clinical Trials for Weight Loss: Scope of the Problem, State of the Field, and Performance of Statistical Methods. Plos One, 4(8). [More] [Bibtex]
  • Ferris, J. A. (2009). Missing Data: A Gentle Introduction. Drug and Alcohol Review, 28(1), 90-91. [More] [Bibtex]
  • Fielding, S., Fayers, P. M. & Ramsay, C. R. (2009). Investigating the missing data mechanism in quality of life outcomes: a comparison of approaches. Health and Quality of Life Outcomes, 7. [More] [Bibtex]
  • Flyer, P. & Hirman, J. (2009). Missing Data In Confirmatory Clinical Trials. Journal of Biopharmaceutical Statistics, 19(6), 969-979. [More] [Bibtex]
  • Fraser, G. E., Yan, R. & Butler, T. L. (2009). Missing data in a long food frequency questionnaire: Are imputed zeroes correct? (vol 20, pg 289, 2009). Epidemiology, 20(4), 630-630. [More] [Bibtex]
  • Fraser, G. E., Yan, R., Butler, T. L., Jaceldo-Siegl, K., Beeson, W. L. & Chan, J. (2009). Missing Data in a Long Food Frequency Questionnaire Are Imputed Zeroes Correct?. Epidemiology, 20(2), 289-294. [More] [Bibtex]
Results 176 - 200 of 701