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IPM
30
YEARS OLD

“Taban Baghfalaki”

Email: 

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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