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Hi, this is Reuben Adatorwovor,
an assistant professor of
biostatistics with expertise in
survival analysis
with competing risks
from the University of Kentucky.
Today, I'll be presenting an
introduction to biostatistics,
an overview of key concepts,
and applications
of biostatistics.
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In this presentation, I
will be talking about
introduction to
biostatistics and
be discussing
biostatistical methods.
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Our objectives are to
understand the role
of biostatistics in
health and medicine,
to help us learn basic
biostatistical methods and
terminology, and to also explore
the application of
biostatistical methods.
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What is biostatistics?
Biostatistics is the application
of statistical methods
to analyze and interpret
data related to living
organisms and health.
It helps us understand
patterns, relationships,
and effects in biological
and biomedical research,
which is crucial for
making informed decisions
in healthcare and public health.
Key areas of biostatistics
are study design,
data analysis, and epidemiology.
In terms of study design,
it is designing experiments
and observational studies
to gather data effectively,
determining the
appropriate sample size
for studies to ensure
accurate results
and planning how data
will be collected
in a systematic
and organized way.
In terms of data analysis,
it is the process of
analyzing collected data
to draw meaningful conclusions
using descriptive
analysis or other forms.
Under data analysis, we
provide descriptive analysis,
which is summarizing
and visualizing data,
and we can also make
inferential analysis,
which is making predictions or
generalization based
upon the sample data.
Additionally, advanced
statistical methodology
can be used to handle
complex or large datasets.
In reference to epidemiology,
it is the study of
how diseases spread,
their causes and their
impact on populations.
It involves identifying
risk factors that
increase the likelihood
of diseases,
and then evaluating
the effectiveness
of public health
intervention and policies.
