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Unwinding Trends in Firearms Data and Serum Creatinine Levels

July 27, 2023
Mary Johnson
Mary Johnson
🇺🇸 United States
Data Analysis
With a Master's degree in Statistics from the esteemed Acadia University, I bring over 8 years of experience in data analysis to StatisticsAssignmentHelp.com.
Key Topics
  • Problem Description:

Delve into a detailed examination of two distinct datasets, unravelling intriguing patterns in firearms data and serum creatinine levels within the context of a data analysis assignment. The first section dissects the relative risk (RR) for men, spotlighting a pivotal shift around 1997. Factors such as evolving firearm policies, public awareness initiatives, enhanced mental health interventions, and socioeconomic dynamics are scrutinized to unravel the underlying causes behind the observed patterns. The second part meticulously analyzes serum creatinine data, emphasizing years with notably lower mean levels and revealing the nuanced trajectory of creatinine levels across the study period. This exploration not only unravels statistical intricacies but also offers valuable insights into the multifaceted nature of societal and health-related phenomena.

Tablesyear__1Tablesrasemale__2Tablesci_lov..__3Tables cs_upp-__4Tablesrev_mala__5Tablesci_lov..__6Tablesei_upp..__7
1978-094086.0665315-1330525-722408-6383163-817578
1979-1114058-0809916-1532414.8110368-7194936-9142272
1980-1174603-083553-1651278.8067227-7153239-9097998
1981-1377049.0997362-1901281-6801196-60375627661414
1982-0985916.0696678-1395234-7662141-682591-8600818
1983-1047904.0739757-148441-7260479.6459319-8161008
1984-1554054-1139099-212017-6770538.6028446.7603981
1985-152027-1111028-2080255-6550388-5856456-7326544
1986-1195335-0864633-1652525-5872833-5263423.6552801
1987-1038251-0743406-1450037.5032988-4535904-5584546
1988-0848806-0591667-1217698-4715526-4234836-5250778
19890911854.0627458-1325153.4017175-3587615-4498169
1990.09638550670582-1385389-4153005-372342-4632154
1991-0579345-038052.0882058-4165954.3748066-4630435
1992.0695187-0467154-1034532-3982833.3576561-4435254
1993.0534591-032819.08708.3881151.3466645-4345221
1994.058651-0373625-0920694-3378378.3016352-3783856
1995_0586735.0385317-089344-2854914-2541837-3206552
1996-0379747-0226765.0635933-272929.24325173062269
1997-0446809-028858-0691793-1968153-1742147-2223478
1998-0384615-0236943.0624323.1266705-1100228-1458373
19990323383.0186142-0561809-1673177-146614-190945
2000-02320190123948-0434316-1466942-1270452-1693822
2001-0452489-0289076-0708278-1659808-1448685-1901699
2002-0257611-0141589-0468706-1495665-1292413-1730881
2003-0227273-0117382-044004-1381628-1184748-1611225
2004-0135501-0056066-0327484-12471481060296-1466929
2005-02981030163651-0543019-1027967-0861646-1226392
2006-0244499.0130565-0457853-1407884-1201826-1649272
2007-0176991-0087973.0356085-1404451-1203124-1639468
2008.0299252.0168524.0531388-1217082-1038434-1426463
20090172043-0085528-0346071-1190818-1013808-1398733
2010-03004290176544.0511248-105615-0896439-1244314
2011-0141414-0067065-0298187-0950729-0797911-1132814
2012-0148148-007371-0297761-1138647-0971601-1334413
2013.0145191-0072246.0291787-1069736-0907879-1260448
2014-0099174-0044378.0221627-1031417.0882385-1205619
2015-0048701-0015664-0151421-0989380847797-1154606

Figure 1: Trends in Firearm data

Analysis of firearm suicide in Both Genders

Figure 2: Analysis of firearm suicide in Both Genders

Problem Description:

Question 1: Analysis of Firearms Data

The assignment involves a comprehensive analysis of firearms data, with a focus on understanding the trends in relative risk (RR) for men over a specified period. The provided graph indicates a notable shift in RR around the year 1997, prompting an exploration into the potential factors contributing to this change.

Solution:

Based on the analysis, the levelling off of relative risk for men post-1997 can be attributed to several key factors:

  • Changes in Firearm-related Policies:The implementation of stricter gun control measures or interventions targeting high-risk individuals likely contributed to the observed reduction in firearm-related mortality, leading to a stabilization in the relative risk.
  • Public Awareness and Prevention Efforts:Increased awareness about the risks associated with firearms, coupled with efforts to promote safe firearm practices, may have played a significant role in reducing firearm-related deaths among men.
  • Improved Mental Health Interventions: Enhanced access to mental health services and improved identification and treatment of mental health issues, often linked to firearm-related suicides, could have influenced the levelling off of the relative risk.
  • Socioeconomic and Cultural Factors:Changes in socioeconomic conditions, cultural attitudes towards firearms, and shifts in societal norms regarding help-seeking behaviour are additional factors that may have contributed to the observed patterns.

Question 2: Analysis of Serum Creatinine Data

The second part of the assignment focuses on the analysis of serum creatinine data. Notable observations include two years, 1970 and 1971, exhibiting significantly lower mean creatinine levels compared to the surrounding years. The trajectory of creatinine levels in the subjects displays variability, with specific years showing distinct patterns.

Solution:

  • 1970 and 1971 Creatinine Levels:In 1970, the mean creatinine level is recorded as .8545139, significantly lower than surrounding years. Similarly, in 1971, the mean creatinine level is .9178472, relatively lower compared to other years except for 1970.
  • Variability in Creatinine Levels:The trajectory of creatinine levels ranges from .8545139 in 1970 to .9821724 in 1972. Levels in 1968, 1969, and 1973 fall within a similar range, ranging from .9601695 to .9709747. However, in 1971, there is a slight increase compared to 1970, and the levels continue to rise in 1972 before decreasing again in 1973.

This analysis provides insights into the variations in serum creatinine levels over the specified time frame, highlighting the importance of examining outliers and trends for a comprehensive understanding of the data.

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