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Applications in health sciences |
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| 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
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.
Additional information: Mario Martínez
UNAM and former PAHO/WHO advisor
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| 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
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.
Additional information: Felipe Benavides
National University of Colombia
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Applications in financial and government sectors |
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| 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
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.
Additional information: Franco Mansilla
Banco Santander Chile
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| 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
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.
Additional information: Brayan Rojas
KPMG Colombia
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What's new in Stata 17 |
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| 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
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.
Additional information: Gabriela Ortiz
StataCorp
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| 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.
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.
Additional information: Enrique Pinzón
StataCorp
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| 5:30–5:45 |
Open panel discussion with Stata developers
StataCorp
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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
View the proceedings of previous Stata Conferences and Users Group meetings.
