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Proceedings

Applications in health sciences
9:00–9:45 COVID-19 epidemiological overview and risk assessment with Stata Abstract: The current COVID-19 pandemic has highlighted the importance of maintaining an updated global, regional, national and, if possible, subnational epidemiological panorama. In these circumstances, the updating, timeliness, and precision of the available
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data are fundamental elements to support decision making, which implies the challenge of using tools that respond to these needs and that allow, in addition to developing advanced and accurate epidemiological models, guarantee its reproducibility and ease of execution, reducing the probability of errors in repetitive processes and facilitating the development of more collaborative knowledge management models, allowing these developments to be shared with other professionals or adapting them from macroanalysis to apply them to more specific environments.

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Additional information:
Colombia21_Martínez.pdf

Mario Martínez
UNAM and former PAHO/WHO advisor
9:00–9:45 Generalized linear models (GLM) for health sciences research with Stata support Abstract: Information of binary, categorical, percentages, proportions, counts, and databases with excess zeros (which is frequent in health sciences), cannot be analyzed with traditional statistical techniques (ANOVA, linear regression, t-test, etc.) because of the fact that they
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generate incorrect parameters, erroneous conclusions, and risks in the application of the results. Generalized linear models (GLM) are an excellent alternative to work with these data, because they allow combining dependent and independent variables of different types in a single model without having to be restricted to the normality assumptions of traditional tests. This presentation will offer a theoretical-practical briefing on the application of GLM for case studies in health sciences with the help of Stata.

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Additional information:
Colombia21_Benavides.pdf

Felipe Benavides
National University of Colombia
Applications in financial and government sectors
9:00–9:45 Machine learning techniques applied to business management with the support of Stata Abstract: Currently, machine learning techniques are of great interest in various fields of knowledge as well as in government and corporate entities as a way to approach the use of data and the answer to complex questions from a more comprehensive approach using updated
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and efficient techniques. This presentation will address the importance of using these techniques for various data analysis and decision making processes, as well as the challenges they represent for analysts to approach the concepts, techniques, and tools that allow them to respond to this need through the use of adequate programming tools. Likewise, some Stata tools will be presented that allow one to develop these models efficiently based on ease of use.

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Additional information:
Colombia21_Mansilla.pdf

Franco Mansilla
Banco Santander Chile
9:00–9:45 Credit risk management‐provisions model under IFRS 9 Abstract: The International Financial Reporting Standard (IFRS) 9 has required some changes and adaptations in organizations to achieve its implementation. One of the main challenges is the definition of the methodologies to obtain its provision, taking into account the
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type of client, its level of risk, and the remaining life of the obligations, adding other elements to account for when incorporating the macroeconomic effects within their models. During this presentation, I will mention how you can work with Stata on different models and methodologies for an adequate implementation and parameterization of credit risk models and provisions under IFRS 9.

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Additional information:
Colombia21_Rojas.pdf

Brayan Rojas
KPMG Colombia
What's new in Stata 17
9:00–9:45 Creating customized tables in Stata Abstract: Stata 17 has a new suite of commands for creating customized tables and exporting them to Microsoft Word®, Microsoft Excel®, LaTeX, PDF, HTML, Markdown, and more. With these features, you can create tables with summary statistics, results of hypothesis tests, regression
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results, or results from any other Stata command. You can also create tables with any combination of these types of results. This presentation provides an introduction to using the new features to create a table, customize it, and export it. The new suite of commands also makes it easy to create a standard style for your tables. I will demonstrate how to customize a single table as well as how to apply a standard look to many tables.

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Additional information:
Colombia21_Ortiz.zip

Gabriela Ortiz
StataCorp
9:00–9:45 New Stata 17 commands: Differences-in-differences Abstract: Stata 17 introduced two commands to fit difference-in-differences (DID) models and difference-in-difference-in-differences (DDD) models. One of the commands, didregress, is for repeated cross-section models, and the other command, xtdidregress, is for longitudinal or panel data.
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In this presentation, I will briefly talk about the theory of DID and DDD, and then there will be a practical application about how to fit the models using the new commands. Likewise, some aspects related to standard errors that are appropriate under different scenarios will be addressed. Graphical diagnostics and tests relevant to the DID and DDD specifications, as well as new areas of development in the DID literature, will also be discussed.

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Additional information:
Colombia21_Pinzón.pdf

Enrique Pinzón
StataCorp
5:30–5:45
Open panel discussion with Stata developers
StataCorp

Logistics organizer

The logistics organizer for the 2021 Colombian Stata Conference is Software Shop, the official distributor of Stata in Argentina, Bolivia, Chile, Colombia, Costa Rica, Ecuador, Mexico, Peru, and Venezuela

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