## 506-6/heart study. dataset analysis

in this Assignment

Using the  Framingham Heart Study dataset

provided, perform the ANOVA multivariable linear regression analysis using BMI as a continuous variable.

Before conducting the analysis, be sure that all participants have complete data on all analysis variables.

Describe how each characteristic is related to BMI. Are crude and multivariable effects similar? What might explain or account for any differences?

H0 The BMI is not related to the patient characteristics in the Framingham Heart Study. (Null Hypothesis)

H1 The BMI is related to the patient characteristics in the Framingham Heart Study. (Alternative Hypothesis)

Upload both Excel sheet into R Studio. (Refer to Chapters 7 & 12 in Introductory Statistics with R or pages 111â€“122 in EXCEL Statistics A Quick Guide). Exclude participants with missing data on analysis variables (age, sex, systolic blood pressure, total serum cholesterol, current smoker, and diabetes = cleaning the data).

Conduct the simple linear regression (ANOVA) by using the Excel Regression tool in the Data Analysis Toolpak.

Remember SEX is coded 1=male and 2=female.

Present your findings in a Word document by copying and pasting the ANOVA table into the document.

Your paper must be written with a title page,

1.    an introduction

2.    a discussion where you interpret the meaning of the ANOVA test

3.    and a conclusion should be included.

Your submission should be 3 pages to discuss and display your findings.

Provide support for your statements with inâ€“text citations from a minimum of 4 scholarly, peerâ€“reviewed articles.

## 505-6/Create anÂ Annotated Bibliography

Create an Annotated Bibliography, writing a three- to five-sentence summary of each article from the 10 references listed bellow

1.     Allen, L. N. (2020). Implementation of non-communicable disease policies: a geopolitical analysis of 151 countries. The Lancet Global Health, 8(1), e50-e58.Alwan, A. (2018). Global status report on Non-communicable diseases in 2010. World Health Organization.

2.     Bloom, D. E. (2012). The global economic burden of non-communicable diseases (No. 8712). Program on the Global Demography of Aging

3.     Dambah, C. (2015) Non-communicable disease risk factors and mobile phones: A proposed research plan. PubMed Central (PMC). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5438453/

4.     Hunter, D. J., & Reddy, K. S. (2018). Non-communicable diseases. New England Journal of Medicine, 369(14), 1336-1343.

5.     Goiana-da-Silva, F (2018) Developmental origins of non-communicable disease: Population and public health implications. (2011, April 27). OUP Academic. https://academic.oup.com/ajcn/article/94/suppl_6/1754S/4597866

6.     Kim, H. C. (2018). Non-communicable diseases: Current status of major modifiable risk factors in Korea. Journal of Preventive Medicine & Public Health46(4), 165-172. https://doi.org/10.3961/jpmph.2013.46.4.165

7.     Lawson, X.C. (2019) Mitigation of non-communicable diseases in developing countries with community health workers. https://doi.org.globalizationandhealth.biomedcentral.com/articles/

8.     Lee, I. M. & Lancet Physical Activity Series Working Group. (2017). Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of disease and life expectancy burden. The Lancet, 380(9838), 219-229.

9.     Nicholson (2017).Global research priorities for non-communicable diseases prevention, management, and control (2017) https://doi.ijncd.org/article.asp?issn=246

10.  Yeng B.Y. (2017) Agent-based modeling of non-communicable diseases: A systematic review. (n.d.). PubMed Central (PMC). https://doi ncbi.nlm.nih.gov/pmc/articles/PMC4330820/

Â·       There should be a title page and then these sources should be listed according APA guidelines as they would be on a reference page.

Â·       For Each individual reference listed above followed by the corresponding summary (DONâ€™T include the whole reference name just the title+ writer name in the paper context ).you can number the reference and just write reference no followed by the summary

Look for relevant literature on a topic of interest to you paying attention to the methods of collecting and analyzing data and ethical research practices.

Â·       This is an opportunity to practice synthesizing the authorâ€™s words. Do not use quotes; rather, put the authorâ€™s ideas into your own words. provide summaries for each of your articles.

## biostatics, W12

### Using the Survival Curve dataset tab located in the  Framingham Heart Study dataset,

perform a Cox Proportional Hazards Regression Analysis to determine the survival time (risk of dying) for the Survival Curve data where the patients are divided into treatment groups. perform the Cox Proportional Hazards Regression Analysis in Excel.

H0 The risk of dying is not related to the patient treatment group. (Null Hypothesis) H1 The risk of dying is related to the patient treatment group. (Alternative Hypothesis)

Present your findings as a Survival Time chart in a Word document, with a title page, introduction explaining why you would conduct a survival analysis, a discussion where you interpret the meaning of the survival analysis, and a conclusion should be included. Your submission should be 2 pages to discuss and display your findings not include cover page and references.

Provide support for your statements with in-text citations from a minimum of four scholarly, peer-reviewed articles. One of these sources may be from the class readings, textbook, or lectures, but the others must be external.

Â·       Introduction

Â·       involved all the description requirements with highlighted topics

Â·       In text citation for each paragraph.

Â·       the date of references must be (recommend that you use more contemporary sources (last 5 years) not from provided materials

Â·       conclusion

Materials:

Sullivan, L. M. (2018). Essentials of biostatistics in public health (3rd ed.). Jones & Bartlett: Boston, MA. ISBN-13: 9781284108194 Salkind, N. J. (2016).

EXCEL statistics: A quick guide (3rd ed.). Sage. Dalgaard, P. (2008).

Introductory statistics with R (2nd ed.). Springer. ISBN-13: 978-0387790534

Framingham Heart Study Dataset

## – bioW12

Using the Framingham Heart Study dataset

you will compare the risk factors in men and women where you will use the following patient characteristics: age, systolic blood pressure, diastolic blood pressure, use of anti-hypertensive medication, current smoker, total serum cholesterol, mg/dL, body mass index (BMI), and diabetes, by determining the means for each risk factor.

Create a table that summarizes your results.

H0 The risk factors for heart disease listed as patient characteristics are not related to if the patient is male or female in the Framingham Heart Study. (Null Hypothesis) H1 The risk factors for heart disease listed as patient characteristics are related to if the patient is male or female in the Framingham Heart Study. (Alternative Hypothesis)

Steps of R Studio Analysis shown on page 67 in Introductory Statistics with R.

Steps of Excel Analysis

To conduct your analysis of the data sort the data by the Sex/Gender variable and sort by smallest to largest.

Compute the means and standard deviations for continuous variables using AVERAGE(range) and STDEV(range) functions â€“ Compute n(%) for dichotomous variables using COUNT(range) and COUNTIF (range, criteria) functions modifying ranges accordingly.

Present your findings by cutting and pasting your results table in a Word document that includes:

–  title page,

– introduction,

– a discussion where you interpret the meaning of the table

– conclusion should be included.

Your submission should be 3 pages to discuss and display your findings.

Provide support for your statements with inâ€“text citations from a minimum of four scholarly, peerâ€“reviewed articles. One of these sources may be from the class readings, textbook, or lectures, but the others must be external.

Â·       Introduction

Â·       involved all the description requirements

Â·       In text citation for each paragraph.

Â·       the date of references must be (recommend that you use more contemporary sources (last 5 years) not from provided materials

Â·       conclusion

Materials:

Sullivan, L. M. (2018). Essentials of biostatistics in public health (3rd ed.). Jones & Bartlett: Boston, MA. ISBN-13: 9781284108194 Salkind, N. J. (2016).

EXCEL statistics: A quick guide (3rd ed.). Sage. Dalgaard, P. (2008).

Introductory statistics with R (2nd ed.). Springer. ISBN-13: 978-0387790534

Framingham Heart Study Dataset

## Write an Introduction -research Methodology W10

This Critical Thinking (CT) assignment builds on the Order #EE29098 and Order #EE29252.

Write an Introduction based on the references identified in the  Order #EE29098 and the annotated bibliography created in Order #EE29252.

The Introduction should provide an overview, background, and explanation of the research topic you chose.

Include an overview of your research question, what software might be used in your analysis, and ethical principles in research.

Your introduction should meet the following requirements:

• Be three paragraphs in length (2 pages), not including the title or reference pages.

Provide support for your statements with in-text citations from the scholarly articles you have gathered.

highlight the required paragraphs.

## D506/M3: Quantifying the Prevalence and Incidence of Disease

we learned the methods to use in order to quantify the extent of a disease by defining prevalence (the proportion of the population that have a risk factor under study) and incidence (the likelihood of developing a disease).

– find articles on â€œoutcomes research,â€

– then, compare and contrast outcomes research with traditional clinical research.

-Research and evaluate the role that outcomes research plays in the research conducted in Saudi Arabia.

## Create an Annotated Bibliography-Research Methodology

This Critical Thinking assignment builds on the assignment from Order #EE29098

Create an Annotated Bibliography, writing a three- to five-sentence summary of each article from the 12 references you gathered for the Order #EE29098.

There should be a title page and then these sources should be listed BY numers, as they would be on a reference page in order Order #EE29098. Each individual reference should be followed by the corresponding summary. Look for relevant literature on a topic of interest to you paying attention to the methods of collecting and analyzing data and ethical research practices.

This is an opportunity to practice synthesizing the authorâ€™s words. Do not use quotes; rather, put the authorâ€™s ideas into your own words.

This weekâ€™s module lecture provides guidance on creating annotated bibliographies. The following resources will also help you with this assignment:

## Confidence Interval Estimates-BioW6

Using the Framingham Heart Study dataset

provided, perform the ANOVA multivariable linear regression analysis using BMI as a continuous variable. Before conducting the analysis, be sure that all participants have complete data on all analysis variables.

Describe how each characteristic is related to BMI. Are crude and multivariable effects similar? What might explain or account for any differences?

H0 The BMI is not related to the patient characteristics in the Framingham Heart Study. (Null Hypothesis)

H1 The BMI is related to the patient characteristics in the Framingham Heart Study. (Alternative Hypothesis)

Upload both Excel sheet into R Studio. (Refer to Chapters 7 & 12 in Introductory Statistics with R or pages 111â€“122 in EXCEL Statistics A Quick Guide). Exclude participants with missing data on analysis variables (age, sex, systolic blood pressure, total serum cholesterol, current smoker, and diabetes = cleaning the data). Conduct the simple linear regression (ANOVA) by using the Excel Regression tool in the Data Analysis Toolpak.

Remember SEX is coded 1=male and 2=female.

Present your findings in a Word document by copying and pasting the ANOVA table into the document. Your paper must be written with a title page, an introduction, a discussion where you interpret the meaning of the ANOVA test, and a conclusion should be included. Your submission should be 2 pages to discuss and display your findings.

Provide support for your statements with inâ€“text citations from a minimum of four scholarly, peerâ€“reviewed articles. One of these sources may be from the class readings, textbook, or lectures, but the others must be external.

â€¢            Introduction

â€¢            involved all the description requirements

â€¢            In text citation for each paragraph.

â€¢            the date of references must be (recommend that you use more contemporary sources (last 5 years) not from provided materials

â€¢            conclusion

Martials:

Sullivan, L. M. (2018). Essentials of biostatistics in public health (3rd ed.). Jones & Bartlett: Boston, MA. ISBN-13:9781284108194

Salkind, N. J. (2016). EXCEL statistics: A quick guide (3rd ed.). Sage.

Dalgaard, P. (2008). Introductory statistics with R (2nd ed.). Springer. ISBN-13: 978-0387790534

Framingham Heart Study Dataset

## M4CT: Selecting Source

Selecting Sources

In research, you should select research articles that

Â·       are peer-reviewed and

Â·       in most instances, are not more than five years old.

Find 10 peer-reviewed articles about (Non-communicable diseases)

At least five articles should be empirical studies. Look for the theory that the study uses to identify the hypothesis that is formulated.

See the following article on theory in healthcare:

Maden, M., McMahon, N., Booth, A., Dickson, R., Paisley, S., & Gabbay, M. (2018). Toward a theory-led metaframework for considering socioeconomic health inequalities within systematic reviews. Journal of Clinical Epidemiology, 104, 84-94.

Â·       Write a two-page overview of your topic and the reasons for selecting each of the references. Be aware that you may find research articles that could be subtopics that may add interest to the main topic.

Submit all ten references and the two-page overview with a title page.

## M4CT : Summarizing Data Collected in a Defined Population Sample

Using the Gestation Demographics Saudi University  dataset that is located in the tabs at the bottom of the  Framingham dataset ( you will fined it in the attachments )

provided, perform the following problems using R Studio or Excel.

1.     Create a simple distribution graph (histogram) where we will explore the age of women after giving birth to their first child. Remember that a histogram consists of parallel vertical bars that show the frequency distribution of a quantitative variable in the graph.  The area of each bar is equal to the frequency of items found in each class.

2.     Determine the mean of the age of the women in the Gestation Demographics Saudi University dataset.

3.     We will be testing the hypothesis that assumes the mean age (Î¼ = Î¼0) for women is 37 years in the Gestation Demographics SEU dataset.

H0 The mean age of women giving birth is 37 years old. (Null Hypothesis) H1 The mean age of women giving birth is not 37 years old. (Alternative Hypothesis)

Â·       Present your findings in a Word document, by copying and pasting the histogram into the document.

Â·       After your analysis state whether you accept or reject the null hypothesis and your reasoning why.

Â·       use a title page, an introduction, a discussion where you interpret the meaning of the histogram, and a conclusion should be included.

Â·       Your submission should be 3 pages to discuss and display your findings.

Â·       Provide support for your statements with in-text citations from a minimum of 5 scholarly, peer-reviewed articles.