FRAILTY AND PROPORTIONAL HAZARDS MODELS FOR ANALYSIS OF SPATIAL SURVIVAL DATA

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MOTARJEM KIUMARS; MOHAMMADZADEH MOHSEN; ABYAR AMENEH

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Journal: ADVANCES IN MATHEMATICAL MODELING Year:2015 | Volume:4 | Issue:2 Page(s): 101-117

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Title

FRAILTY AND PROPORTIONAL HAZARDS MODELS FOR ANALYSIS OF SPATIAL SURVIVAL DATA

Author(s)

MOTARJEM KIUMARS | MOHAMMADZADEH MOHSEN | ABYAR AMENEH | Issue Writer Certificate

Keywords

SURVIVAL DATAQ2

COX PROPORTIONAL HAZARDS MODELQ2

FRAILTY MODELQ2

SPATIAL SURVIVAL MODELQ2

Abstract

One of the most widely used models for fitting SURVIVAL DATA is COX PROPORTIONAL HAZARDS MODEL that is based on homogeneity, independence and equi-distributed of SURVIVAL DATA. However, in many cases, hazards of statistical units are different and the assumption of population homogeneity is not established. One of the reasons for such deference is the unknown or unobserved risk factors, which may lead to some misleading models if there is no concern for them or some models such as Cox proportional hazard models have to be implemented. In such cases, regarding the unknown risk factors, FRAILTY MODELs are used. In this paper, the performances of the Cox and FRAILTY MODELs for survival and spatial SURVIVAL DATA with unknown risk factors are considered. The efficiency of these models whilst the source of unknown risk factors is the spatial correlation of SURVIVAL DATA is also examined.

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APA: Copy

MOTARJEM, KIUMARS, MOHAMMADZADEH, MOHSEN, & ABYAR, AMENEH. (2015). FRAILTY AND PROPORTIONAL HAZARDS MODELS FOR ANALYSIS OF SPATIAL SURVIVAL DATA. ADVANCES IN MATHEMATICAL MODELING, 4(2), 101-117. SID. https://sid.ir/paper/243895/en

Vancouver: Copy

MOTARJEM KIUMARS, MOHAMMADZADEH MOHSEN, ABYAR AMENEH. FRAILTY AND PROPORTIONAL HAZARDS MODELS FOR ANALYSIS OF SPATIAL SURVIVAL DATA. ADVANCES IN MATHEMATICAL MODELING[Internet]. 2015;4(2):101-117. Available from: https://sid.ir/paper/243895/en

IEEE: Copy

KIUMARS MOTARJEM, MOHSEN MOHAMMADZADEH, and AMENEH ABYAR, “FRAILTY AND PROPORTIONAL HAZARDS MODELS FOR ANALYSIS OF SPATIAL SURVIVAL DATA,” ADVANCES IN MATHEMATICAL MODELING, vol. 4, no. 2, pp. 101–117, 2015, [Online]. Available: https://sid.ir/paper/243895/en

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