A Bayesian Binary Logistic Regression Approach in Identifying Factors Associated with Exclusive Breastfeeding Practices at Arba Minch Town, South Ethiopia

Anjullo, Belay Belete; Haile, Tariku Tesfaye

doi:10.9734/air/2018/46020

Cited by 8 publications

(9 citation statements)

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Section: Methodsmentioning

confidence: 99%

“…The advantages of Bayesian inference are well known, and include elicitation of prior beliefs about experiences, avoidance of asymptotic approximations, and practical estimation of functions of parameters. 13,14 Bayesian inference assumes that the data are fixed and considers all unknown parameters as random variables. 15 This method also allows detailed inference from parameters and can be obtained for any arbitrary sample size.…”

Section: Bayesian Binary Logistic Regression Modelmentioning

confidence: 99%

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Practice of Blood Donation and Associated Factors among Adults of Gondar City, Northwest Ethiopia: Bayesian Analysis Approach

Kassie¹,

Birara²

2020

JBM

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Section: Methodsmentioning

confidence: 99%

Section: Bayesian Binary Logistic Regression Modelmentioning

confidence: 99%

Practice of Blood Donation and Associated Factors among Adults of Gondar City, Northwest Ethiopia: Bayesian Analysis Approach

Kassie¹,

Birara²

2020

JBM

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“…The likelihood function used by Bayesian inference matches with the classical inference. The likelihood contribution from the i th subject is binomial and the likelihood function is given by [ 23 ]: …”

Section: Methodsmentioning

confidence: 99%

“…This estimation of the model parameters requires the specification of a prior distribution for all the unknown parameters. For small samples, prior information can be critical because the maximum likelihood estimation on logistic regression model in small samples has significant bias and the serious inferential problems [ 19 , 23 ]. In general, any prior distributions can be used depending on the available prior information.…”

Section: Methodsmentioning

confidence: 99%

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Bayesian regression model with application to a study of food insecurity in household level: a cross sectional study

Gebrie

2021

BMC Public Health

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Background Food insecurity is a situation in which access to sufficient food is limited at times during the year by a lack of money and other resources. Even though several efforts were made to recover food security, still it is a critical social problem that needs immediate attention from policy and other decision makers especially in Ethiopia. The objective of the paper was to identify the significant predictors of food insecurity at household level in the given District. Method A cross-sectional survey study was employed among 305 households selected using systematic random sampling technique. The data was collected using structured interviewer administrative questionnaire. Descriptive statistics was used to assess the prevalence of food insecurity status, and Bayesian estimation on binary logistic regression was used to identify the significant predictors of household food insecurity. Gibbs sampler algorithm was employed on Win BUGS software. Convergence of algorithm was assessed by using time series plot, density plot and auto correlation plot. Result The prevalence of household food insecurity was 59% in the study District. From Bayesian estimation, the significant predictors of food insecurity were sex of household head, agro-ecological zone, loan status, access to agricultural training, age of household head, marital status of household head, family size, agricultural land size, tropical livestock unit, and soil fertility of agricultural land. Conclusion The result shows that the households headed by male; who had own land, who land fertile soil, and those who took agricultural training were less likely to be food insecure. On the other hand, households with large family size, small farm land size and less tropical livestock unit were more likely to be food insecure. Hence, to increase food production and productivity of the farmers, proper attention should be given to improve soil fertility of agricultural land. Creating access to credit to households and providing them with agricultural training and family planning should be also emphasized.

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A Bayesian Binary Logistic Regression Approach to Identifying Factors Affecting the Households’ Use Level of Financial Products/Services in Vietnam

Tran

2023

Studies in Systems, Decision and Control

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A Bayesian Binary Logistic Regression Approach in Identifying Factors Associated with Exclusive Breastfeeding Practices at Arba Minch Town, South Ethiopia

Cited by 8 publications

References 0 publications

Practice of Blood Donation and Associated Factors among Adults of Gondar City, Northwest Ethiopia: Bayesian Analysis Approach

Practice of Blood Donation and Associated Factors among Adults of Gondar City, Northwest Ethiopia: Bayesian Analysis Approach

Bayesian regression model with application to a study of food insecurity in household level: a cross sectional study

A Bayesian Binary Logistic Regression Approach to Identifying Factors Affecting the Households’ Use Level of Financial Products/Services in Vietnam

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