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PUB 540 Topic 4 DQ 1 Differentiate between association and causation using the causal guidelines
PUB 540 Topic 4 DQ 1 Differentiate between association and causation using the causal guidelines
Topic 4 DQ 1
May 12-14, 2022
Differentiate between association and causation using the causal guidelines. Discuss which of the guidelines you think is the most difficult to establish. Discuss the four types of causal relationships and use an example not listed in the textbook to describe each relationship.
REPLY TO DISCUSSION
JR
May 17, 2022, 6:17 PM
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Causality
Non-causality
Factors that collectively suggest non-causality
The more of these factors are present, the stronger the evidence against causality
Weak causality
Factors that collectively, support a weak cause-effect interpretation
The more of these factors are present, the more confident we can be in suggesting possible causality
Stronger causality
Factors that collectively, support a stronger cause-effect interpretation
The more of these factors are present, the stronger our causal inference
JT
Posted Date
May 16, 2022, 7:36 PM
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Topic 4, DQ 1, Thompson-McLaurin, Jeneen, PUB-540
Topic 4, DQ 1, Thompson-McLaurin, Jeneen, PUB-540
We all would like to know the cause of a disease, if we can determine the cause, then we have a better chance at knowing how to cure or slow it down. Kumar (2022) states that most causes are determined by observational study rather than experimental. There are several plausible explanations from observed associations that come from multiple sources. And, before cause and affect can be attributed to something the evidence from these multiple sources has to be strong enough that the conclusion isn’t merely a chance finding or by accident.
Friis & Sellers (2020) states that fully understanding the cause of a disease is not needed to treat it. The wheel model is a good example of showing the association of causality. The host is at the center, surrounded by an environment that consists of components that are biologic, social and physical. At the very center of the wheel is the genetic makeup of a person. We can substitute events that may represent the cause and association of disease when it comes to disease. This may be the easier of ways to illustrate the relationship between association and causality. The guides to this association are: plausibility, consistency, and temporality.
Reference PUB 540 Topic 4 DQ 1 Differentiate between association and causation using the causal guidelines
Kumar (2022, May 16) Causation in epidemiology: association and causation. Epidemiology for Practitioners. https://www.healthknowledge.org.uk/e-learning/epidemiology/practitioners/causation-epidemiology-association-causation
Friis, R. H., & Sellers, T. (2020). Epidemiology for public health practice (6th ed.). Jones & Bartlett Learning.
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PS
Phylicia Stubblefield
May 17, 2022, 8:35 PM
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There is this saying that “association is not causation”. I never knew before public health classes what that really meant. Association isn’t always causation but it’s possible in various aspects of the four types of causation relationships. In public health, we need to study the exposed population as well as the unexposed within the same population to see if there is any statistical significance. There isn’t a way to create an experiment of how exposures, people and risk factors to get an outcome. Osborne and Shakir (2021) explained the reason why exposures may appear to be associated with an event due to confounding factors, bias, and and probability. We need to differiate between actual evidence or a signal of a causal or observed association. That is why we need to measure how statistically significant various risk factors are to an exposure.
References: PUB 540 Topic 4 DQ 1 Differentiate between association and causation using the causal guidelines
Osborne, V., & Shakir, S. (2021). What Is the Difference Between Observed Association and Causal Association, Signals and Evidence? Examples Related to COVID-19. Frontiers in pharmacology, 11, 569189. https://doi.org/10.3389/fphar.2020.569189
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DJ
May 18, 2022, 5:19 AM
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Replies to Phylicia Stubblefield
Hi Phylicia,
Your comments caught my attention. Please know that you are not the only one, I cannot believe how much I have learned from this class in the past four weeks Statistical models are used to find patterns, identify links, and discover abnormalities and irregularities in data. It’s crucial to distinguish between association and causation when looking at the link between exposures and health outcomes. Epidemiologists aim to be able to reach conclusions regarding causality in the end, although most epidemiologic investigations are focused on establishing relationships (Zabihollah et al., 2020). Causation must be distinguished from the association, which is defined as a link between two variables.
Reference
Zabihollah Rezaee, Sara Aliabadi, Alireza Dorestani, & Nick J. Rezaee. (2020). Application of Time Series Models in Business Research: Correlation, Association, Causation. Sustainability, 12(4833), 4833. https://doi-org.lopes.idm.oclc.org/10.3390/su12124833
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Florence King-Inneh
replied toJeneen Thompson-McLaurin
May 17, 2022, 10:02 PM
Replies to Jeneen Thompson-McLaurin
hi Jeneen,
I agree with Kumar (2022) that most causes are determined by observational study rather than experiment. I think that this is because it is often difficult to replicate the exact circumstances that lead to a disease in an experiment, so observational studies can provide valuable insights. Additionally, observational studies can often be cheaper and easier to conduct than experiments. There are a few different ways to determine the cause of a disease. One is to look at the symptoms and try to find a pattern. Another is to look at the medical history of the person or people who have the disease. And a third way is to look at environmental factors. Kumar (2022) It is correct that most causes are determined by observational studies rather than experimental ones. This is because it is often difficult to create an experiment that would accurately recreate the conditions under which a disease develops. Additionally, observational studies can often provide more detailed information than experiments.
Reference: PUB 540 Topic 4 DQ 1 Differentiate between association and causation using the causal guidelines
von Gadow, K., Zhao, X. H., Tewari, V. P., Zhang, C. Y., Kumar, A., Rivas, J. J. C., & Kumar, R. (2016). Forest observational studies: an alternative to designed experiments. European Journal of Forest Research, 135(3), 417-431.
Mayyas, M., Khoshmanesh, K., Kumar, P., Mousavi, M., Tang, J., Ghasemian, M. B., … & Kalantar‐Zadeh, K. (2022). Gallium‐Based Liquid Metal Reaction Media for Interfacial Precipitation of Bismuth Nanomaterials with Controlled Phases and Morphologies. Advanced Functional Materials, 32(8), 2108673.
PUB 540 Topic 4 DQ 1 Differentiate between association and causation using the causal guidelines Grading Rubric Guidelines
Performance Category | 10 | 9 | 8 | 4 | 0 |
Scholarliness
Demonstrates achievement of scholarly inquiry for professional and academic decisions. |
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Performance Category | 10 | 9 | 8 | 4 | 0 |
Application of Course Knowledge –
Demonstrate the ability to analyze, synthesize, and/or apply principles and concepts learned in the course lesson and outside readings and relate them to real-life professional situations |
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Performance Category | 5 | 4 | 3 | 2 | 0 |
Interactive Dialogue
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Summarizes what was learned from the lesson, readings, and other student posts for the week. |
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Grammar, Syntax, APA
Note: if there are only a few errors in these criteria, please note this for the student in as an area for improvement. If the student does not make the needed corrections in upcoming weeks, then points should be deducted. Points deducted for improper grammar, syntax and APA style of writing. The source of information is the APA Manual 6th Edition |
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The student answers the threaded discussion question or topic on one day and posts a second response on another day. | The student does not meet the minimum requirement of two postings on two different days | |||
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The student must provide a substantive answer to the graded discussion question(s) or topic(s), posted by the course instructor (not a response to a peer), by Wednesday, 11:59 p.m. MT of each week. | The student does not meet the requirement of a substantive response to the stated question or topic by Wednesday at 11:59 pm MT. |