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<title>Statistics</title>
<link>http://repository.mtu.edu.et/xmlui/handle/123456789/19</link>
<description>Statistics</description>
<pubDate>Wed, 27 May 2026 19:31:58 GMT</pubDate>
<dc:date>2026-05-27T19:31:58Z</dc:date>
<item>
<title>Joint Modeling of Blood Glucose Level, Systolic and Diastolic Blood Pressure with Time- To-Develop Microvascular Complications Among Co-Infected Patients of Diabetic Mellitus and Hypertension in Tepi General Hospital and MTUTH</title>
<link>http://repository.mtu.edu.et/xmlui/handle/123456789/185</link>
<description>Joint Modeling of Blood Glucose Level, Systolic and Diastolic Blood Pressure with Time- To-Develop Microvascular Complications Among Co-Infected Patients of Diabetic Mellitus and Hypertension in Tepi General Hospital and MTUTH
Aragaw, Adem; Abate, Lemma; Bekele, Alemu
Background:- Diabetes mellitus is currently a public health issue in both developed and&#13;
developing nations and is linked to greater morbidity and mortality globally. We aim to model&#13;
the progression of several biomarkers, including SBP, FBS, and DBP, as well as the correlation&#13;
between various aspects of this progression and the time to develop microvascular complications&#13;
in various association structures. Methods: A retrospective follow-up study was conducted on co-infected patients at Tepi&#13;
General Hospital and MTUTH. Ethiopia with an enrollment time of September 2015 and&#13;
followed for four years. We presented a joint model that consists of two related sub-models: a&#13;
multivariate linear mixed model for FBS, SBP, and DBP level and a survival sub-model for the&#13;
patient's developing retinopathy status. Three different forms of joint modeling in the Bayesian&#13;
approach via R-statistical software were used. For the analysis, we used the JMBayes Markov&#13;
Chain Monte Carlo (MCMC) algorithm to sample from the posterior conditional distributions. Results: Time had a significant effect on all repeated measurements (SBP, FBS, and DBP)&#13;
(P&lt;0.001) in the multivariate linear mixed model. The square root FBS, SBP, and DBP are&#13;
statistically significant at a 5% level of significance in all forms of the joint models that we&#13;
considered: This indicates that there is strong evidence of the association between the effect of&#13;
the longitudinal square root FBS, SBP and DBP on the risk of developing retinopathy for Co infected patients. Time-updated FBS of Co Infected patients makes them develop complications&#13;
earlier. Conclusion: At a 5% level of significance(p-value&lt;0.05), the risk of patients' hazard become&#13;
increases as the SBP, FBS, and DBP become increase. From a methodological perspective&#13;
considering different association structures in joint modeling leads to appropriate decisions. The&#13;
fixed effects of baseline age, residence, educational status, occupation, smoking, family history&#13;
of DM, and weight significantly affect the developing retinopathy time(p-value&lt;0.05).
</description>
<pubDate>Mon, 01 May 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://repository.mtu.edu.et/xmlui/handle/123456789/185</guid>
<dc:date>2023-05-01T00:00:00Z</dc:date>
</item>
<item>
<title>Determinants of Marital Dissolution in Tepi city Administration and Mizan Aman city Administration</title>
<link>http://repository.mtu.edu.et/xmlui/handle/123456789/126</link>
<description>Determinants of Marital Dissolution in Tepi city Administration and Mizan Aman city Administration
Abate, Lema; Bekele, Alemu; Aragaw, Adem; Korkoba, Dereje
Background: Marital dissolution or divorce is one of the most dramatic events that can befall in a &#13;
family. Compared to people in their first marriage, people who are currently married but have ever &#13;
been divorced have a worse self-rated health, more chronic conditions, more mobility limitations, &#13;
and more depressive symptoms. The objective of this study was to examine the determinants of &#13;
marital dissolution in Tepi and Mizan-Aman city administration.&#13;
Methods: A community based retrospective study design was conducted to assess factors &#13;
associated with marital dissolution of ever-married individuals in study area using descriptive and &#13;
inferential analysis. Multi–Stage sampling technique was used to select appropriate sample. From &#13;
the survival analysis models; the Cox-proportional hazard model was selected to identify the &#13;
factors associated with marital dissolution. &#13;
Results: About 23.9% of participants were divorced or separated from their first partners and the &#13;
mean survival time was 32 years and one month. Participants who were very unsatisfied and &#13;
unsatisfied by encouraging support, sexual compatibility, and life before marriage and giving &#13;
admiration from their partners were more exposed to divorce compared to very satisfied and &#13;
satisfied. Cox proportional hazard regression model revealed that age, partner’s education levels, &#13;
occupation, lie partner, consultancy and conflict resolution methods had significant effects on &#13;
survival time of duration of marriage. The risk of marital dissolution was significantly lower for &#13;
uneducated partners (HR=0.0.296; P=0.039), merchant (HR= 0.408; P= 0.007) and participants &#13;
who never lie their partners (HR= 0.265; P = 0.000) compared to their counterpart. &#13;
Conclusions: The findings of this study demonstrated that age group, partner’s education level, &#13;
occupation type, lie partner, getting consultancy about marriage, and conflict resolution methods&#13;
have significant effect on the survival time of marital dissolution. Participants whose age was less &#13;
than or equal to 20 year during study time was more exposed to marital dissolution than whose &#13;
age was greater than 40 years old. This implies that early marriage had significant effect on the &#13;
duration of ever-married couples. Respondents who got consultancy about the marriage was less &#13;
likely to divorce compared to participants who didn’t get consultancy
</description>
<pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://repository.mtu.edu.et/xmlui/handle/123456789/126</guid>
<dc:date>2023-01-01T00:00:00Z</dc:date>
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