Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Taban Baghfalaki"'
Autor:
Taban Baghfalaki, Ashkan ُShabak
Publikováno v:
پژوهشهای ریاضی, Vol 7, Iss 3, Pp 545-572 (2021)
The increasing difficulty of collecting data in traditional ways, due to the complexity of today's societies, necessitates the need to study to change or update statistical methods. Using other data sources and model-based techniques are some of the
Externí odkaz:
https://doaj.org/article/b6ba398fe5bb4dbcbe9f1bc4b601e3a0
Publikováno v:
مطالعات مدیریت راهبردی, Vol 11, Iss 44, Pp 103-129 (2020)
The management of the labor force is a strategic issue that requires strategic decision-making, strategic environmental analysis, which is clear that having statistics and information is a prerequisite for this. According to the current economic cond
Externí odkaz:
https://doaj.org/article/7085ab3ba4394d949954c9219f018c5d
Autor:
Bagher Pahlavanzade, Farid Zayeri, Taban Baghfalaki, Omid Mozafari, Davood Khalili, Fereidoun Azizi, Alireza Abadi
Publikováno v:
Iranian Journal of Basic Medical Sciences, Vol 22, Iss 11, Pp 1325-1330 (2019)
Objective(s): It has been proposed that lipid markers may predict cardiovascular events; however, their effect may vary depending on the type of cardiovascular disease. The purpose of this study was to investigate the effects of lipid markers on deat
Externí odkaz:
https://doaj.org/article/e2f59297eb654e2a8f38e4c3e2dcc694
Autor:
Taban Baghfalaki, Mojtaba Ganjali
Publikováno v:
Revstat Statistical Journal, Vol 18, Iss 1 (2020)
In most of the longitudinal studies, involving count responses, excess zeros are common in practice. Usually, the current response measurement in a longitudinal sequence is a function of previous outcomes. For example, in a study about acute renal al
Externí odkaz:
https://doaj.org/article/05c7f9e2e00c47658d550ede217ad074
Autor:
Taban Baghfalaki
Publikováno v:
پژوهشهای ریاضی, Vol 4, Iss 1, Pp 1-20 (2018)
Introduction Longitudinal study designs are common in a lot of scientific researches, especially in medical, social and economic sciences. The reason is that longitudinal studies allow researchers to measure changes of each individual over time and o
Externí odkaz:
https://doaj.org/article/3f40366e3992474387b287af43a3d2d5
The Ability of Different Imputation Methods to Preserve the Significant Genes and Pathways in Cancer
Publikováno v:
Genomics, Proteomics & Bioinformatics, Vol 15, Iss 6, Pp 396-404 (2017)
Deciphering important genes and pathways from incomplete gene expression data could facilitate a better understanding of cancer. Different imputation methods can be applied to estimate the missing values. In our study, we evaluated various imputation
Externí odkaz:
https://doaj.org/article/00bbcc70c6384204bfd4454d3a0d0d47
Publikováno v:
Journal of Biostatistics and Epidemiology, Vol 4, Iss 2 (2018)
Background & Aim: In survival studies, incidence of competing risks causes that the time of event of interest to be unknown. Analysis of competing risk data, often implemented using hazard-based method under proportional hazard assumption. In this st
Externí odkaz:
https://doaj.org/article/6893f29f39ff46b1b8400a9186d4172a
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 15, Iss 3 (2016)
RNA-seq technology has been widely used as an alternative approach to traditional microarrays in transcript analysis. Sometimes gene expression by sequencing, which generates RNA-seq data set, may have missing read counts. These missing values can ad
Externí odkaz:
https://doaj.org/article/a054b5ccd6c341eab923a9e645af5c9c
Autor:
Taban Baghfalaki, Mojtaba Ganjali
Publikováno v:
Revstat Statistical Journal, Vol 13, Iss 2 (2015)
Joint modeling of longitudinal measurements and survival time has an important role in analyzing medical data sets. For example, in HIV data sets, a biological marker such as CD4 count measurements is considered as a predictor of survival. Usually, l
Externí odkaz:
https://doaj.org/article/e801b06c1eed4d4dab38ba434ace0d0b
Publikováno v:
PLoS ONE, Vol 10, Iss 4, p e0123791 (2015)
In this paper, the problem of identifying differentially expressed genes under different conditions using gene expression microarray data, in the presence of outliers, is discussed. For this purpose, the robust modeling of gene expression data using
Externí odkaz:
https://doaj.org/article/137bf38b67b44560a045c6c8b38601c6