Assignment 1

.docx

School

Indiana University, Bloomington *

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Course

MISC

Subject

Medicine

Date

Feb 20, 2024

Type

docx

Pages

4

Uploaded by HighnessTurtle12764

Report
1 1. Using the spreadsheet on 2013 hospital data found in the Week 1 Homework folder, find the following information: a) Using the hospital census and charges by diagnosis related group (DRG), find the range of discharges of Medicare severity DRG 004 (MS-DRG version 31) for the following hospitals: Saint Joseph Medical Center, Harborview Medical Center, and Valley Medical Center. Saint Joseph Medical Center: 9-1=8 The range of discharges is 8. Harborview Medical Center: 5-1=4 The range of discharges is 4. Valley Medical Center: 5-1=4 The range of discharges is 4. b) What is the mean of patient days for MS-DRG 020? The mean of patient days for MS-DRG 020 is 349.4 days. 3494/10=349.4. c) Calculate the frequency of swing bed admission for MS-DRG 057. The frequency of swing bed admission for MS-DRG 057 is 9. 2. When researching “data mining” you may come across the terms “data dredging” or “data snooping.” What do they mean? What implications should a researcher know about these terms? How might they be avoided? Data dredging (also known as snooping or p-hacking) refers to intentionally exploring different data sets and conducting multiple statistical tests until a substantial finding or required outcome
2 gets obtained without appropriate correction from many comparisons. It gets used in misinterpreting research results and manipulating research findings leading to wrong clans or falsified outcomes. Researchers should know that data dredging has serious implications such as forged results, distorted scientific knowledge, and resource wastage during pursuing fraudulent leads. To avoid data dredging, researchers can create a research hypothesis, deploy statistical methods, confirm findings, report methods, and focus on importance. 3. On the following website: http://www.who.int/healthinfo/global_burden_disease/estimates_country/en/index.html Look at the data on males and females in India and the US, comparing the percentages between the different age groups of those with rheumatic heart disease: 15-50 years and 60+ years. Write a brief explanation of your findings. This is what I get when I click on the link provided.
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