School

Southern New Hampshire University **We aren't endorsed by this school

Course

IHP 525

Subject

Statistics

Date

Aug 12, 2023

Pages

3

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Information on data set to include in your description
Which variables are you investigating?
Survivability-fstat
Age of patient
Identify each variable as continuous/quantitative or
categorical, and list the descriptive statistics that are
used to describe that type of variable.
Age = Continuous/Quantitative
Survivability = Categorical
Age will be computed:
N
Mean
Standard Deviation
Q1
Q3
IQR
Will compute against survivability
Compute these descriptive statistics for the variables you
are investigating and present them here or in a
separate table below.
See table below
What does each statistic tell you about the data for the given
variable?
N- the number of observations
Mean- the mathematic average of the data
Standard deviation- a measure of distribution of data
Q1- the first 25% of the data
Q3- the last 25% of the data; three quartiles below i
75% of the data IQR- middle or 50% of the data

IHP 525 Milestone Two Table
A.
Assess the collected
data
. Use this section to lay out the source, parameters, and any
limitations of your data. Specifically, you should:
1.
Describe the
key features
of your data set. This is where you want to say where the data
came from—describe the sample and how the data was collected. Next, define each of
your variables—what do they measure about the subjects? Then describe the distribution
of each of your variables using the descriptive statistics you computed. Be sure to assess
how these features affect your analysis.
The data set that is the focus of this analysis comes from the publishing of Hosmer, et al., 2008
which utilized the Worcester Heart Attack Study as one of the primary data sources. This data was
collected over a 26-year period between 1975 and 2001 by focusing on myocardial infarction (MI)
admittances to hospitals in the Worcester, MA area and came from the studying of 100 participants
across 8 different variables. The primary focus of this analysis is only on the variables of age and
follow-up status (fstat) and survivability of patients recovering from myocardial infarction. This
data uses 0=alive and 1=dead when considering patient follow-up status while age is a continuous
variable. The information informed that the median age of suffering an acute myocardial infarction
was 62.67, with a survival rate of 73.61. The minimum likelihood of survival age was 39 years old
and the maximum age of 85 years old. The minimum rate of not surviving MI was 32 years old and
the maximum age not to survive at 92 years old.
Through the examination of age-related survival
characteristics, it canbe determined whether older age increases mortality.
2.
Analyze the
limitations
of the data set you were provided with and how those
limitations might affect your findings. Justify your response.
One of the limitations is that this is a limited data set of 100 patients over a 13-year period
which could limit the accuracy of the data and lead to an under or overestimation of the
conclusions. Another limitation is that there are many factors that could have an impact on
one's survivability that were not considered such as genetics, comorbidities, and social

indicators of health. Not considering these factors allows for the lack of risk adjustment for
these variables mentioned and has a direct impact on a patient's morbidity (Gerstman, 2015).
References
Gerstman, B. B. (2015). Basic Biostatistics: Statistics for Public Health Practice (2cd ed.).
Hosmer, D. W., Lemeshow, S., & May, S. (2008). Applied survival analysis: Regression
modeling of time to event data: Second Edition[Data set]. New York, NY: John Wiley &Sons
Inc.

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