IHP 525 Milestone Two Table w1 77777

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525

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Statistics

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Jan 9, 2024

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IHP 525 Milestone Two Table Information on data set to include in your description Which variables are you investigating? Age and survival or follow-up status (fsat) Identify each variable as continuous/quantitative or categorical, and list the descriptive statistics that are used to describe that type of variable. Age = Quantitative/Continuous Survival is a categorical term. I'll calculate: N Mean Standard Deviation Q1 Q3 IQR for age. I'll next compare my calculations against survival. Compute these descriptive statistics for the variables you are investigating and present them here or in a separate table below. n Mean Standard Deviation Q1 Q3 1QR Age 100 68.25 14.428 59.5 80.5 21 Alive 49 62.67 13.47 52 73 21 Dead 51 73.36 What does each statistic tell you about the data for the given variable? N stands for "N observations" Mean: The data's mathematical average A measurement of the data's distribution is the standard deviation. the first 25% of the data from Q1 Three quartiles below it, in Q3, including 75% of the data; Q3 represents the last 25% of the data. IQR is the median or 50% of the data. 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 Worcester Heart Attack Study, conducted by Dr. Robert J. Goldberg of the Department of Cardiology at the University of Massachusetts Medical School, provided the information in this research. There are 100 participants in this data collection and nine variables. We shall concentrate on the age and survivorship variables in this research. While follow-up status is classified as 0 alive and one death for the variables, age is a continuous variable. It will be determined whether or not advanced age contributes to a higher mortality rate based on age concerning survival . 2. Analyze the limitations of the data set you were provided and how those limitations might affect your findings. Justify your response. The fact that there were only 100 participants in this study is the main limitation of this data collection. Gender, family history, comorbidities, and treatment plans are additional variables that may restrict this study. Since these variables are not included in the data set, risk adjustment for them as contributors to the patient's morbidity is not possible. The study's findings might be negatively impacted by these elements. 2015 (Gerstman) \
Reference: Gerstman, B. B. (2015). Basic Biostatistics: Statistics for Public Health Practice (2cd ed.). Burlington, Ma: Jones & Bartlett. Hosmer, D., Lemeshow, S. and May, S. (2008) applied survival analysis regression modeling of time to event data. 2nd edition, john and Wiley Sons Inc., Hoboken. - references - scientific research publishing. (n.d.). Retrieved September 18, 2022, from https://www.scirp.org/reference/ReferencesPapers.aspx?ReferenceID=2202496 StatCrunch®-Powerful Statistical Software . ® Statistical Software. (n.d.). Retrieved September 18, 2022, from https://www.pearson.com/us/higher-education/products-services- teaching/learning-engagement-tools/statcrunch.html
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