milestone 4
follow all directions
2 years ago
10
STATCRUNCHLOGININFO.docx
Healthquestion.docx
MilestoneFourGuidelinesandRubric-IHP-525-Q3469Biostatistics24TW3.pdf
MilestoneThreeAssignment1.docx
MilestoneThreeAssignment2.docx
- Milestone2Dataset2.docx
STATCRUNCHLOGININFO.docx
MilestoneFourGuidelinesandRubric-IHP-525-Q3469Biostatistics24TW3.pdf
IHP 525 Milestone Four Guidelines and Rubric
Overview
Your task is to help the organization answer their question by critically analyzing the data. You will run descriptive statistics and a statistical test, create a graph, interpret the results, and
present the results and recommendations to non-technical decision makers in the form of a data analysis. Keep in mind that it is your job to do this from a statistical standpoint. Be sure to
justify your conclusions and recommendations with appropriate statistical support.
Prompt
In Milestone Three, you created a table listing the statistics you were going to complete to investigate your health question. In Milestone Four, you will actually complete these calculations.
Speci�cally, you must address these critical elements:
I. Data Analysis
A. Graphs: In this section, you will use graphical displays to examine the data.
1. Create at least one graph that gives a sense of the potential relationship between the two variables that form your chosen health question. Include the graph and discuss why
you selected it as opposed to others.
B. Conduct an appropriate statistical test to answer your health question.
C. Explain why this test is the best choice in this context.
D. Analysis of Biostatistics: Use this section to describe your �ndings from a statistical standpoint. Be sure to:
1. Present key biostatistics from the graph(s) and statistical test and explain what they mean. Be sure to include a spreadsheet showing your work or a copy of your StatCrunch
output as an appendix.
2. What statistical inferences or conclusions can you draw based on the results of your statistical test, descriptive statistics and graph? Justify your response.
What to Submit
You will submit screenshots of the graphs, the completed table from Milestone Three, and 2–4 paragraphs explaining and interpreting these items in a single Microsoft Word document with
double spacing, 12-point Times New Roman font, one-inch margins, and using APA format for any citations.
Milestone Four Rubric
Criteria Pro�cient (100%) Needs Improvement (70%) Not Evident (0%) Value
Data Analysis: Graphs: Graph Creates a graph that gives a sense of the
potential relationship between two
variables that form the chosen health
question and discusses why this graph was
selected over others
Creates a graph that gives a sense of the
potential relationship between two
variables that form the health question and
discusses why this graph was selected over
others, but graph is inappropriate, reasons
are illogical, or response contains
inaccuracies
Does not create a graph that gives a sense
of the potential relationship between two
variables
20
Data Analysis: Test Conducts appropriate statistical test
accurately to answer chosen health
question
Conducts statistical test to answer chosen
health question, but response contains
inaccuracies or test is not conducted
appropriately
Does not conduct appropriate statistical
test to answer chosen health question
20
Data Analysis: Best Choice Explains why test is the best choice in this
context
Explains why test is the best choice in this
context, but explanation is cursory or
contains inaccuracies
Does not explain why test is the best choice
in this context
15
Data Analysis: Analysis:
Biostatistics
Presents graph and statistical test results,
including spreadsheet showing work or
computer output, and accurately explains
what chosen calculations mean
Presents graph and statistical test results,
including spreadsheet showing work or
computer output, and explains what they
mean, but response contains inaccuracies
or omits key details
Does not present graph and statistical test
results, including spreadsheet showing
work or computer output and does not
explain what these calculations mean
20
Data Analysis: Analysis:
Statistical Inferences
Draws appropriate statistical inferences
based on statistical hypothesis test results
and graph and justi�es response
Draws appropriate statistical inferences
based on test results and graph, but does
not justify response, justi�cation is illogical,
or response contains inaccuracies
Does not draw appropriate statistical
inferences or conclusions based on test
results and graph
20
Articulation of Response Submission has no major errors related to
citations, grammar, spelling, syntax, or
organization
Submission has major errors related to
citations, grammar, spelling, syntax, or
organization that negatively impact
readability and articulation of main ideas
Submission has critical errors related to
citations, grammar, spelling, syntax, or
organization that prevent understanding of
ideas
5
Total: 100%
MilestoneThreeAssignment1.docx
The IHP 525 Milestone Three Assignment
Precious Teasley
Southern New Hampshire University
IHP-525-Q3469 Biostatistics 24TW3
Professor Cecilia Younger
March 28, 2024
The IHP 525 Milestone Three Assignment
Completed Table For Your Milestone Three Assignment
Question |
Answer |
What is your health (research) question? |
Does Age Affect the Survival (Follow-up Status) of MI Patients? |
What are the corresponding null and alternative hypotheses? |
Null hypothesis (H0): Age does not affect the survival (follow-up status) of MI patients. |
|
|
Alternative hypothesis (H1): Age affects the survival (follow-up status) of MI patients. |
List the descriptive statistics you will compute, using which |
For this analysis, we will compute descriptive statistics for the variable 'Age' to assess |
variable(s), to help answer your health question. |
its impact on survival rates. |
What is the name of the statistical test you will use to test |
We will use a statistical test called logistic regression to test the hypothesis and |
your hypothesis and answer your health question? |
understand the relationship between age and survival status among MI patients. |
What is the formula for your chosen statistical test? |
Logistic regression formula: Log(odds of survival) = β0 + β1(Age) |
Why is the statistical test you chose appropriate to answer |
Logistic regression is appropriate because it can model the probability of an outcome |
your health question? Be sure to be clear on how the two |
(survival status in this case) based on one or more predictor variables (age in our case) |
variables you described in Milestone Two are used to complete |
while accounting for potential confounding factors. Age is the main predictor variable |
this test. |
that we want to assess in relation to survival rates. |
Which graph(s) (histogram, stem and leaf, boxplot, bar graph, |
We will create a bar graph to visualize the survival rates (follow-up status) of MI |
scatterplot) will you use to visualize the answer to your health |
patients across different age groups. The x-axis will represent age groups, and the |
question? Be specific and include which variables will be used |
y-axis will show the percentage of patients in each age group who survived (follow-up |
and if the graph will be created for different subgroups of subjects. |
status = 1) or did not survive (follow-up status = 0). |
Explanation
The choice of statistical test and calculations aligns with the research question of whether age affects the survival (follow-up status) of MI patients. Logistic regression is appropriate because it allows us to model the relationship between a binary outcome variable (survival status) and one or more predictor variables (age in this case) while considering potential confounding factors. The logistic regression formula helps estimate the odds of survival based on age, providing valuable insights into how age impacts survival rates among MI patients.
Additionally, creating a bar graph to visualize survival rates across different age groups adds a graphical representation to our analysis. This graph will help stakeholders easily understand the relationship between age and survival status, making it easier to communicate the findings to non-technical decision-makers. Overall, these calculations and graphs are crucial in answering the health question comprehensively and providing evidence-based recommendations.
image1.jpeg
MilestoneThreeAssignment2.docx
The IHP 525 Milestone Three Assignment
Precious Teasley
Southern New Hampshire University
IHP-525-Q3469 Biostatistics 24TW3
Professor Cecilia Younger
March 28, 2024
The IHP 525 Milestone Three Assignment
Completed Table For Your Milestone Three Assignment
Question |
Answer |
What is your health (research) question? |
Does Age Affect the Survival (Follow-up Status) of MI Patients? |
What are the corresponding null and alternative hypotheses? |
Null hypothesis (H0): Age does not affect the survival (follow-up status) of MI patients. |
|
|
Alternative hypothesis (H1): Age affects the survival (follow-up status) of MI patients. |
List the descriptive statistics you will compute, using which |
For this analysis, we will compute descriptive statistics for the variable 'Age' to assess |
variable(s), to help answer your health question. |
its impact on survival rates. |
What is the name of the statistical test you will use to test |
We will use a statistical test called logistic regression to test the hypothesis and |
your hypothesis and answer your health question? |
understand the relationship between age and survival status among MI patients. |
What is the formula for your chosen statistical test? |
Logistic regression formula: Log(odds of survival) = β0 + β1(Age) |
Why is the statistical test you chose appropriate to answer |
Logistic regression is appropriate because it can model the probability of an outcome |
your health question? Be sure to be clear on how the two |
(survival status in this case) based on one or more predictor variables (age in our case) |
variables you described in Milestone Two are used to complete |
while accounting for potential confounding factors. Age is the main predictor variable |
this test. |
that we want to assess in relation to survival rates. |
Which graph(s) (histogram, stem and leaf, boxplot, bar graph, |
We will create a bar graph to visualize the survival rates (follow-up status) of MI |
scatterplot) will you use to visualize the answer to your health |
patients across different age groups. The x-axis will represent age groups, and the |
question? Be specific and include which variables will be used |
y-axis will show the percentage of patients in each age group who survived (follow-up |
and if the graph will be created for different subgroups of subjects. |
status = 1) or did not survive (follow-up status = 0). |
Explanation
The choice of statistical test and calculations aligns with the research question of whether age affects the survival (follow-up status) of MI patients. Logistic regression is appropriate because it allows us to model the relationship between a binary outcome variable (survival status) and one or more predictor variables (age in this case) while considering potential confounding factors. The logistic regression formula helps estimate the odds of survival based on age, providing valuable insights into how age impacts survival rates among MI patients.
Additionally, creating a bar graph to visualize survival rates across different age groups adds a graphical representation to our analysis. This graph will help stakeholders easily understand the relationship between age and survival status, making it easier to communicate the findings to non-technical decision-makers. Overall, these calculations and graphs are crucial in answering the health question comprehensively and providing evidence-based recommendations.
image1.jpeg
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