Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model

Abiyot Negash Terefe; Assaye Belay Gelaw

doi:doi:10.11648/j.ijsd.20170304.12

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Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model

Abiyot Negash Terefe, Assaye Belay Gelaw

Published in International Journal of Statistical Distributions and Applications (Volume 3, Issue 4)

Received: 21 August 2017 Accepted: 7 September 2017 Published: 10 November 2017

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Abstract

Diabetes is a group of diseases marked by high or low level of glucose resulting from defects in insulin production, insulin action or both. The objective of this study is to model time-to-first recovery of adult diabetic patients using Cox Proportional Hazards model. A retrospective data was obtained from Jimma University Specialized Hospital diabetic patient clinic whose age 18 years and under treatments in between September 2010 and August 2013 are included in the study. Time of fasting blood sugar level to reach the first normal range, 70-130 mg/dl of blood were the response variable. Cox Proportional Hazard model were used. Types of diabetic, bodyweight at baseline, fasting blood sugar at baseline, sex and age of patients are significantly associated with time to first recovery of diabetic patients. These variables are important factors that should be considered during the selection phase a treatment (combination of treatments) for diabetes.

Published in	International Journal of Statistical Distributions and Applications (Volume 3, Issue 4)
DOI	10.11648/j.ijsd.20170304.12
Page(s)	67-71
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Akaike’s Information Criterion, Cox-Snell, Deviance Residuals

References

[1]	Leong, W. Y. Survival analysis of Diabetic patients in queen Elizabeth hospital, kotan kinabalu. 2007.
[2]	Connor, H. and Boulton, A. J. M. (1989). Diabetes in Practice. Chichester: Wiley.
[3]	Guariguata, L., Whiting, D. R., Hambleton, I., Beagley, J., Linnenkamp, U., & Shaw, J. E. Global estimates of diabetes prevalence for 2013 and projections for 2035 for the IDF Diabetes Atlas. Diabetes Research and Clinical Practice, 2013.
[4]	Olive D, Odwee O and Atuhaire K,. The determinants of recovery time of diabetic patients from three hospitals in Uganda, 2007.
[5]	Gebregziabher, M., Egede, LE., Lynch, CP., Echols, C., Zhao, Y. (2010). Effect of Trajectories of Glycemic Control on Mortality in Type II Diabetes.
[6]	Dereje, A. (2005). Diabetes Mellitus, Diploma program for the Ethiopian health center team.
[7]	Kaplan and Meier. Non-parametric estimation from incomplete observations. Journal of American Statistical Association, 1958.
[8]	Cox, D. Regression models and life tables (with discussion) Journal of the Royal Statistical Society B, 1972.
[9]	Green, P. J. (1987). Penalized likelihood for general semi-parametric regression models. International Statistical Review.
[10]	Schoenfeld, D. (1982). Partial residuals for the proportional hazards regression model.
[11]	Hosmer DW. & Lemeshow. Applied survival analysis regression modeling of time to event data, 1999.
[12]	Collet, D,. Modeling Survival Data in medical research second edition, 1972.
[13]	Endalew, H., H. Mariam, W., Belachew, T., Birhanu, Z. (2012). Self-care practice and glycaemic control amongst adults with diabetes at the Jimma University Specialized Hospital in south-west Ethiopia: A cross-sectional study.

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APA Style

Abiyot Negash Terefe, Assaye Belay Gelaw. (2017). Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model. International Journal of Statistical Distributions and Applications, 3(4), 67-71. https://doi.org/10.11648/j.ijsd.20170304.12

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ACS Style

Abiyot Negash Terefe; Assaye Belay Gelaw. Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model. Int. J. Stat. Distrib. Appl. 2017, 3(4), 67-71. doi: 10.11648/j.ijsd.20170304.12

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AMA Style

Abiyot Negash Terefe, Assaye Belay Gelaw. Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model. Int J Stat Distrib Appl. 2017;3(4):67-71. doi: 10.11648/j.ijsd.20170304.12

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@article{10.11648/j.ijsd.20170304.12,
  author = {Abiyot Negash Terefe and Assaye Belay Gelaw},
  title = {Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model},
  journal = {International Journal of Statistical Distributions and Applications},
  volume = {3},
  number = {4},
  pages = {67-71},
  doi = {10.11648/j.ijsd.20170304.12},
  url = {https://doi.org/10.11648/j.ijsd.20170304.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20170304.12},
  abstract = {Diabetes is a group of diseases marked by high or low level of glucose resulting from defects in insulin production, insulin action or both. The objective of this study is to model time-to-first recovery of adult diabetic patients using Cox Proportional Hazards model. A retrospective data was obtained from Jimma University Specialized Hospital diabetic patient clinic whose age  18 years and under treatments in between September 2010 and August 2013 are included in the study. Time of fasting blood sugar level to reach the first normal range, 70-130 mg/dl of blood were the response variable. Cox Proportional Hazard model were used. Types of diabetic, bodyweight at baseline, fasting blood sugar at baseline, sex and age of patients are significantly associated with time to first recovery of diabetic patients. These variables are important factors that should be considered during the selection phase a treatment (combination of treatments) for diabetes.},
 year = {2017}
}

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TY  - JOUR
T1  - Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model
AU  - Abiyot Negash Terefe
AU  - Assaye Belay Gelaw
Y1  - 2017/11/10
PY  - 2017
N1  - https://doi.org/10.11648/j.ijsd.20170304.12
DO  - 10.11648/j.ijsd.20170304.12
T2  - International Journal of Statistical Distributions and Applications
JF  - International Journal of Statistical Distributions and Applications
JO  - International Journal of Statistical Distributions and Applications
SP  - 67
EP  - 71
PB  - Science Publishing Group
SN  - 2472-3509
UR  - https://doi.org/10.11648/j.ijsd.20170304.12
AB  - Diabetes is a group of diseases marked by high or low level of glucose resulting from defects in insulin production, insulin action or both. The objective of this study is to model time-to-first recovery of adult diabetic patients using Cox Proportional Hazards model. A retrospective data was obtained from Jimma University Specialized Hospital diabetic patient clinic whose age  18 years and under treatments in between September 2010 and August 2013 are included in the study. Time of fasting blood sugar level to reach the first normal range, 70-130 mg/dl of blood were the response variable. Cox Proportional Hazard model were used. Types of diabetic, bodyweight at baseline, fasting blood sugar at baseline, sex and age of patients are significantly associated with time to first recovery of diabetic patients. These variables are important factors that should be considered during the selection phase a treatment (combination of treatments) for diabetes.
VL  - 3
IS  - 4
ER  -

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Author Information

Abiyot Negash Terefe

Department of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia
Assaye Belay Gelaw

Department of Statistics, College of Natural and Computational Science, Mizan-Tepi University, Tepi, Ethiopia

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Plain Text BibTeX RIS

APA Style

Abiyot Negash Terefe, Assaye Belay Gelaw. (2017). Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model. International Journal of Statistical Distributions and Applications, 3(4), 67-71. https://doi.org/10.11648/j.ijsd.20170304.12

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ACS Style

Abiyot Negash Terefe; Assaye Belay Gelaw. Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model. Int. J. Stat. Distrib. Appl. 2017, 3(4), 67-71. doi: 10.11648/j.ijsd.20170304.12

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AMA Style

Abiyot Negash Terefe, Assaye Belay Gelaw. Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model. Int J Stat Distrib Appl. 2017;3(4):67-71. doi: 10.11648/j.ijsd.20170304.12

Copy | Download

@article{10.11648/j.ijsd.20170304.12,
  author = {Abiyot Negash Terefe and Assaye Belay Gelaw},
  title = {Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model},
  journal = {International Journal of Statistical Distributions and Applications},
  volume = {3},
  number = {4},
  pages = {67-71},
  doi = {10.11648/j.ijsd.20170304.12},
  url = {https://doi.org/10.11648/j.ijsd.20170304.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20170304.12},
  abstract = {Diabetes is a group of diseases marked by high or low level of glucose resulting from defects in insulin production, insulin action or both. The objective of this study is to model time-to-first recovery of adult diabetic patients using Cox Proportional Hazards model. A retrospective data was obtained from Jimma University Specialized Hospital diabetic patient clinic whose age  18 years and under treatments in between September 2010 and August 2013 are included in the study. Time of fasting blood sugar level to reach the first normal range, 70-130 mg/dl of blood were the response variable. Cox Proportional Hazard model were used. Types of diabetic, bodyweight at baseline, fasting blood sugar at baseline, sex and age of patients are significantly associated with time to first recovery of diabetic patients. These variables are important factors that should be considered during the selection phase a treatment (combination of treatments) for diabetes.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Modeling Time-to- Recovery of Adult Diabetic Patients Using Cox-Proportional Hazards Model
AU  - Abiyot Negash Terefe
AU  - Assaye Belay Gelaw
Y1  - 2017/11/10
PY  - 2017
N1  - https://doi.org/10.11648/j.ijsd.20170304.12
DO  - 10.11648/j.ijsd.20170304.12
T2  - International Journal of Statistical Distributions and Applications
JF  - International Journal of Statistical Distributions and Applications
JO  - International Journal of Statistical Distributions and Applications
SP  - 67
EP  - 71
PB  - Science Publishing Group
SN  - 2472-3509
UR  - https://doi.org/10.11648/j.ijsd.20170304.12
AB  - Diabetes is a group of diseases marked by high or low level of glucose resulting from defects in insulin production, insulin action or both. The objective of this study is to model time-to-first recovery of adult diabetic patients using Cox Proportional Hazards model. A retrospective data was obtained from Jimma University Specialized Hospital diabetic patient clinic whose age  18 years and under treatments in between September 2010 and August 2013 are included in the study. Time of fasting blood sugar level to reach the first normal range, 70-130 mg/dl of blood were the response variable. Cox Proportional Hazard model were used. Types of diabetic, bodyweight at baseline, fasting blood sugar at baseline, sex and age of patients are significantly associated with time to first recovery of diabetic patients. These variables are important factors that should be considered during the selection phase a treatment (combination of treatments) for diabetes.
VL  - 3
IS  - 4
ER  -

Copy | Download