Estimating Survival Probability of Drug Users with Application to Drug and Substance Abuse in Kenya

Robert Kasisi; Joseph Koske; Mathew Kosgei

doi:doi:10.11648/j.ajtas.20170606.14

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Estimating Survival Probability of Drug Users with Application to Drug and Substance Abuse in Kenya

Robert Kasisi, Joseph Koske, Mathew Kosgei

Published in American Journal of Theoretical and Applied Statistics (Volume 6, Issue 6)

Received: 28 June 2017 Accepted: 17 July 2017 Published: 27 November 2017

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Abstract

The contemporary studies on drug abuse have blamed the increasing menace of drug abuse on failure of governments to enact adequate laws prohibiting drug abuse and failure to place strict border controls to prevent entry of drugs. Others have blamed social media and modernization as key players towards the current trends of drug abuse. As a result studies have shifted from studying factors leading to drug abuse as these seem to be obvious to studying covariates that leading to improved probabilities of recovery upon treatment. Female substance users are said to be proportionately more likely to recover from drug use than male substance abusers. However studies have showed that female drug users experience low turnout for treatment from drug abuse. With the increasing trend of women drug users seeking treatment there is an urgent need to estimate survival probability of drug use subjects based on marital status, age, gender and job status. This study sought to determine the survival probability of drug users in Kenya for the period between July 2013 and June 2015. Kaplan Meier analysis was used to determine the survival probability of a subject entering into drug use at different stages of life based on predictive covariates. Survival probability of drug users based on age, gender, marital status and employment status was determined. The study recommended that there significant differences in survival probability based on gender, age, marital status and employment status. Therefore the study recommended that treatment services be tailored on treating subjects based on these predictive covariates.

Published in	American Journal of Theoretical and Applied Statistics (Volume 6, Issue 6)
DOI	10.11648/j.ajtas.20170606.14
Page(s)	284-289
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

Survival Probability, Kaplan Meier Analysis, Intervention Programs, Hazard Rate, Drug Abuse

References

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APA Style

Robert Kasisi, Joseph Koske, Mathew Kosgei. (2017). Estimating Survival Probability of Drug Users with Application to Drug and Substance Abuse in Kenya. American Journal of Theoretical and Applied Statistics, 6(6), 284-289. https://doi.org/10.11648/j.ajtas.20170606.14

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ACS Style

Robert Kasisi; Joseph Koske; Mathew Kosgei. Estimating Survival Probability of Drug Users with Application to Drug and Substance Abuse in Kenya. Am. J. Theor. Appl. Stat. 2017, 6(6), 284-289. doi: 10.11648/j.ajtas.20170606.14

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AMA Style

Robert Kasisi, Joseph Koske, Mathew Kosgei. Estimating Survival Probability of Drug Users with Application to Drug and Substance Abuse in Kenya. Am J Theor Appl Stat. 2017;6(6):284-289. doi: 10.11648/j.ajtas.20170606.14

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@article{10.11648/j.ajtas.20170606.14,
  author = {Robert Kasisi and Joseph Koske and Mathew Kosgei},
  title = {Estimating Survival Probability of Drug Users with Application to Drug and Substance Abuse in Kenya},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {6},
  number = {6},
  pages = {284-289},
  doi = {10.11648/j.ajtas.20170606.14},
  url = {https://doi.org/10.11648/j.ajtas.20170606.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20170606.14},
  abstract = {The contemporary studies on drug abuse have blamed the increasing menace of drug abuse on failure of governments to enact adequate laws prohibiting drug abuse and failure to place strict border controls to prevent entry of drugs. Others have blamed social media and modernization as key players towards the current trends of drug abuse. As a result studies have shifted from studying factors leading to drug abuse as these seem to be obvious to studying covariates that leading to improved probabilities of recovery upon treatment. Female substance users are said to be proportionately more likely to recover from drug use than male substance abusers. However studies have showed that female drug users experience low turnout for treatment from drug abuse. With the increasing trend of women drug users seeking treatment there is an urgent need to estimate survival probability of drug use subjects based on marital status, age, gender and job status. This study sought to determine the survival probability of drug users in Kenya for the period between July 2013 and June 2015. Kaplan Meier analysis was used to determine the survival probability of a subject entering into drug use at different stages of life based on predictive covariates. Survival probability of drug users based on age, gender, marital status and employment status was determined. The study recommended that there significant differences in survival probability based on gender, age, marital status and employment status. Therefore the study recommended that treatment services be tailored on treating subjects based on these predictive covariates.},
 year = {2017}
}

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TY  - JOUR
T1  - Estimating Survival Probability of Drug Users with Application to Drug and Substance Abuse in Kenya
AU  - Robert Kasisi
AU  - Joseph Koske
AU  - Mathew Kosgei
Y1  - 2017/11/27
PY  - 2017
N1  - https://doi.org/10.11648/j.ajtas.20170606.14
DO  - 10.11648/j.ajtas.20170606.14
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 284
EP  - 289
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20170606.14
AB  - The contemporary studies on drug abuse have blamed the increasing menace of drug abuse on failure of governments to enact adequate laws prohibiting drug abuse and failure to place strict border controls to prevent entry of drugs. Others have blamed social media and modernization as key players towards the current trends of drug abuse. As a result studies have shifted from studying factors leading to drug abuse as these seem to be obvious to studying covariates that leading to improved probabilities of recovery upon treatment. Female substance users are said to be proportionately more likely to recover from drug use than male substance abusers. However studies have showed that female drug users experience low turnout for treatment from drug abuse. With the increasing trend of women drug users seeking treatment there is an urgent need to estimate survival probability of drug use subjects based on marital status, age, gender and job status. This study sought to determine the survival probability of drug users in Kenya for the period between July 2013 and June 2015. Kaplan Meier analysis was used to determine the survival probability of a subject entering into drug use at different stages of life based on predictive covariates. Survival probability of drug users based on age, gender, marital status and employment status was determined. The study recommended that there significant differences in survival probability based on gender, age, marital status and employment status. Therefore the study recommended that treatment services be tailored on treating subjects based on these predictive covariates.
VL  - 6
IS  - 6
ER  -

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Author Information

Robert Kasisi

Department of Mathematics and Computer Science Moi University, Eldoret, Kenya
Joseph Koske

Department of Mathematics and Computer Science Moi University, Eldoret, Kenya
Mathew Kosgei

Department of Mathematics and Computer Science Moi University, Eldoret, Kenya

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Plain Text BibTeX RIS

APA Style

Robert Kasisi, Joseph Koske, Mathew Kosgei. (2017). Estimating Survival Probability of Drug Users with Application to Drug and Substance Abuse in Kenya. American Journal of Theoretical and Applied Statistics, 6(6), 284-289. https://doi.org/10.11648/j.ajtas.20170606.14

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ACS Style

Robert Kasisi; Joseph Koske; Mathew Kosgei. Estimating Survival Probability of Drug Users with Application to Drug and Substance Abuse in Kenya. Am. J. Theor. Appl. Stat. 2017, 6(6), 284-289. doi: 10.11648/j.ajtas.20170606.14

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AMA Style

Robert Kasisi, Joseph Koske, Mathew Kosgei. Estimating Survival Probability of Drug Users with Application to Drug and Substance Abuse in Kenya. Am J Theor Appl Stat. 2017;6(6):284-289. doi: 10.11648/j.ajtas.20170606.14

Copy | Download

@article{10.11648/j.ajtas.20170606.14,
  author = {Robert Kasisi and Joseph Koske and Mathew Kosgei},
  title = {Estimating Survival Probability of Drug Users with Application to Drug and Substance Abuse in Kenya},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {6},
  number = {6},
  pages = {284-289},
  doi = {10.11648/j.ajtas.20170606.14},
  url = {https://doi.org/10.11648/j.ajtas.20170606.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20170606.14},
  abstract = {The contemporary studies on drug abuse have blamed the increasing menace of drug abuse on failure of governments to enact adequate laws prohibiting drug abuse and failure to place strict border controls to prevent entry of drugs. Others have blamed social media and modernization as key players towards the current trends of drug abuse. As a result studies have shifted from studying factors leading to drug abuse as these seem to be obvious to studying covariates that leading to improved probabilities of recovery upon treatment. Female substance users are said to be proportionately more likely to recover from drug use than male substance abusers. However studies have showed that female drug users experience low turnout for treatment from drug abuse. With the increasing trend of women drug users seeking treatment there is an urgent need to estimate survival probability of drug use subjects based on marital status, age, gender and job status. This study sought to determine the survival probability of drug users in Kenya for the period between July 2013 and June 2015. Kaplan Meier analysis was used to determine the survival probability of a subject entering into drug use at different stages of life based on predictive covariates. Survival probability of drug users based on age, gender, marital status and employment status was determined. The study recommended that there significant differences in survival probability based on gender, age, marital status and employment status. Therefore the study recommended that treatment services be tailored on treating subjects based on these predictive covariates.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Estimating Survival Probability of Drug Users with Application to Drug and Substance Abuse in Kenya
AU  - Robert Kasisi
AU  - Joseph Koske
AU  - Mathew Kosgei
Y1  - 2017/11/27
PY  - 2017
N1  - https://doi.org/10.11648/j.ajtas.20170606.14
DO  - 10.11648/j.ajtas.20170606.14
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 284
EP  - 289
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20170606.14
AB  - The contemporary studies on drug abuse have blamed the increasing menace of drug abuse on failure of governments to enact adequate laws prohibiting drug abuse and failure to place strict border controls to prevent entry of drugs. Others have blamed social media and modernization as key players towards the current trends of drug abuse. As a result studies have shifted from studying factors leading to drug abuse as these seem to be obvious to studying covariates that leading to improved probabilities of recovery upon treatment. Female substance users are said to be proportionately more likely to recover from drug use than male substance abusers. However studies have showed that female drug users experience low turnout for treatment from drug abuse. With the increasing trend of women drug users seeking treatment there is an urgent need to estimate survival probability of drug use subjects based on marital status, age, gender and job status. This study sought to determine the survival probability of drug users in Kenya for the period between July 2013 and June 2015. Kaplan Meier analysis was used to determine the survival probability of a subject entering into drug use at different stages of life based on predictive covariates. Survival probability of drug users based on age, gender, marital status and employment status was determined. The study recommended that there significant differences in survival probability based on gender, age, marital status and employment status. Therefore the study recommended that treatment services be tailored on treating subjects based on these predictive covariates.
VL  - 6
IS  - 6
ER  -

Copy | Download