“Taban Baghfalaki”
Email:
IPM Positions |
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Non Resident Researcher, School of Biological Sciences
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Related Papers |
1. | T. Baghfalaki, M. Ganjali and D. M. Berridge Generalized estimating equations by considering additive terms for analyzing time-course gene sets data Journal of the Korean Statistical Society (2018), [abstract] |
2. | M. Ganjali and T. Baghfalaki Application of Penalized Mixed Model in Identification of Genes in Yeast Cell-Cycle Gene Expression Data Biostatistics and Biometrics 6 (2018), [abstract] |
3. | T. Baghfalaki, M. Ganjali and G. Verbeke A shared parameter model of longitudinal measurements and survival time with heterogeneous random-effects distribution J. Appl. Statist. 44 (2017), 2813-2836 [abstract] |
4. | R. Aghdam, T. Baghfalaki, P. Khosravi and E. Saberi Ansari The Ability of Different Imputation Methods to Preserve the Significant Genes and Pathways in Cancer Genomics, proteomics & bioinformatics 15 (2017), 396-404 [abstract] |
5. | T. Baghfalaki, M. Ganjali and D. Berridge Missing Value Imputation for RNA-Sequencing Data Using Statistical Models: A Comparative Study J. Appl. Statist. (inProgress) [abstract] |
6. | M. Ganjali. , T. Baghfalaki. and D. Berridge. Robust Modeling of Differential Gene Expression Data Using Normal/Independent Distributions: A Baysian Approach Plos One 10 (2015), e0123791 [abstract] |
7. | M. Ganjali. and T. Baghfalaki. A Copula Approach to Joint Modeling of Longitudinal Measurements and Survival Times Using MCEM with Application to AIDS Studies Biopharmaceutical Statistics 25 (2015), 1077-1099 [abstract] |
8. | M. Ganjali. and T. Baghfalaki. A Bayesian Shared Parameter Model for Analysing Longitudinal Skewed Responses with Nonignorable Dropout IJSMR 3 (2014), 103-115 [abstract] |
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