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Baghfalaki, Taban
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1

GCPBayes pipeline: a tool for exploring pleiotropy at the g..:

Asgari, Yazdan ; Sugier, Pierre-Emmanuel ; Baghfalaki, Taban...
NAR Genomics and Bioinformatics.  5 (2023)  3 - p. , 2023
Link: https://doi.org/10.1093/..
 
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2

Bayesian joint modelling of multiple longitudinal outcomes ..:

Arabi, Zahra Sadat ; Hashemi, Reza ; Baghfalaki, Taban
Journal of Statistical Computation and Simulation.  94 (2023)  1 - p. 142-163 , 2023
Link: https://doi.org/10.1080/..
 
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3

Bayesian modeling of clustered competing risks survival tim..:

Momenyan, Somayeh ; Kavousi, Amir ; Baghfalaki, Taban.
Epidemiology, Biostatistics, and Public Health.  17 (2023)  2 - p. , 2023
Link: https://doi.org/10.2427/..
 
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4

Analysis of ordinal and continuous longitudinal responses u..:

Sefidi, Saeide ; Ganjali, Mojtaba ; Baghfalaki, Taban
METRON.  80 (2022)  2 - p. 255-280 , 2022
Link: https://doi.org/10.1007/..
 
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5

A two-stage approach for joint modeling of longitudinal mea..:

Mehdizadeh, P. ; Baghfalaki, Taban ; Esmailian, M..
Journal of Biopharmaceutical Statistics.  31 (2021)  4 - p. 448-468 , 2021
Link: https://doi.org/10.1080/..
 
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6

Variable selection for longitudinal zero-inflated power ser..:

Alsalim, Nawar ; Baghfalaki, Taban
Journal of Biopharmaceutical Statistics.  31 (2021)  5 - p. 668-685 , 2021
Link: https://doi.org/10.1080/..
 
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7

Bayesian joint modeling of ordinal longitudinal measurement..:

Baghfalaki, Taban ; Kalantari, Shiva ; Ganjali, Mojtaba..
Journal of Biopharmaceutical Statistics.  30 (2020)  4 - p. 689-703 , 2020
Link: https://doi.org/10.1080/..
 
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8

Bayesian meta‐analysis models for cross cancer genomic inve..:

Baghfalaki, Taban ; Sugier, Pierre‐Emmanuel ; Truong, Therese...
Statistics in Medicine.  40 (2020)  6 - p. 1498-1518 , 2020
Link: https://doi.org/10.1002/..
 
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9

Augmented mixed beta regression models with skew-normal ind..:

Mohsenkhani, Zohreh Fallah ; Mohhamadzadeh, Mohsen ; Baghfalaki, Taban
Communications in Statistics - Simulation and Computation.  48 (2019)  7 - p. 2147-2164 , 2019
Link: https://doi.org/10.1080/..
 
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10

Longitudinal data analysis in the presence of informative s..:

Meshkani Farahani, Zahra Sadat ; Khorram, Esmaile ; Ganjali, Mojtaba.
Journal of Applied Statistics.  46 (2019)  12 - p. 2111-2127 , 2019
Link: https://doi.org/10.1080/..
 
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11

A transition model for analyzing multivariate longitudinal ..:

Baghfalaki, Taban ; Ganjali, Mojtaba
AStA Advances in Statistical Analysis.  104 (2019)  2 - p. 169-223 , 2019
Link: https://doi.org/10.1007/..
 
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12

Bayesian quantile regression for analyzing ordinal longitud..:

Ghasemzadeh, Siamak ; Ganjali, Mojtaba ; Baghfalaki, Taban
METRON.  76 (2018)  3 - p. 321-348 , 2018
Link: https://doi.org/10.1007/..
 
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13

Bayesian quantile regression for joint modeling of longitud..:

Ghasemzadeh, Siamak ; Ganjali, Mojtaba ; Baghfalaki, Taban
Communications in Statistics - Simulation and Computation.  49 (2018)  2 - p. 375-395 , 2018
Link: https://doi.org/10.1080/..
 
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14

The impact of maternal smoking during pregnancy on childhoo..:

Moradzadeh, Rahmatollah ; Mansournia, Mohammad Ali ; Baghfalaki, Taban...
Annals of Epidemiology.  28 (2018)  10 - p. 697-703 , 2018
Link: https://doi.org/10.1016/..
 
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15

Bayesian sample size determination for longitudinal studies..:

Baghfalaki, Taban
Journal of Biopharmaceutical Statistics.  29 (2018)  2 - p. 244-270 , 2018
Link: https://doi.org/10.1080/..
 
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