“Taban Baghfalaki”


IPM Positions

Non Resident Researcher, School of Biological Sciences

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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