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Bayesian
Statistics
Project
Faculty of Sciences
Medellin Campus
National University of Colombia
Sofía Cuartas
Daniel Villa
Database
Selected database
Objective
Problem statement
and selection of
variables of interest
Model
Description of the model
to be treated
References
Documentation to support
the project
01
02
03
04
Table of contents
Database
01
Problem Context
gender violence in public
health
Registry of patients seen in health care institutions with a
suspected diagnosis of gender-based violence in public health
surveillance.
January 2008 - December 2019
Secretary of Health.
56,948
observations
Objectives
02
research questions to be answered
We want to know if the patient's
mode of violence can be explained
and predicted using certain
criteria that will be revealed later.
The database considers the
following kinds of violence:
Sexual Abuse
Neglect and
abandonment
Sexual
harassment
Commercial sexual
exploitation
Trafficking
in persons
Model
03
Description of the model to be treated
Comuna
week
type of social
security system
Case type
Symptom onset date
date of
consult
hospitalized
patient
References
04
Documentation to support the project
https://rpubs.com/kaz_yos/stan-glm1
http://docs.zeligproject.org/articles/zelig_mlogitbayes.html#:~:te
xt=Use%20Bayesian%20multinomial%20logistic%20regression,
likelihood%20estimation%20of%20this%20model.
https://www.frontiersin.org/articles/10.3389/fninf.2018.00051/full
"G:Mi unidad6to Semestre 2022-1SBayesianaTrabajo
FinalDocumat-RegresionLogisticaMultinomial-2981898.pdf"
"G:Mi unidad6to Semestre 2022-1SBayesianaTrabajo
FinalvanErp_2013.pdf"
"G:Mi unidad6to Semestre 2022-1SBayesianaTrabajo
Finalmatthias,+Journal+manager,+121Fruehwirth.pdf"

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Multinomial Logistic Bayes.pptx