Scenario
Your supervisor is impressed with the work you did with the Demog FAERS dataset. She presented the utility of the dataset at a meeting and it piqued the interest of a Senior Epidemiologist. The epidemiologist would like you to analyze data regarding a specific research question.
Background: A class action lawsuit was filed against Matrixx Initiatives in 2006 after consumers reported losing their sense of smell (anosmia) following the use of its Zicam products. The company was required to pay $12 million in fines to consumers. On June 16, 2009, the Food and Drug Administration (FDA) asked consumers to discontinue the use of three Zicam products which prompted the company to withdraw its products from the market.
Rationale: The putative agent which led to the loss of smell was intranasal zinc. She hypothesizes that Zicam-related anosmia would be at its bare minimum since the company no longer markets zinccontaining products in the US. However, because anosmia is a rare event, she would need your help to determine if there are sufficient cases of anosmia in 2019 before proceeding with the actual analysis. Objective: The epidemiologist needs a single dataset that contains reported events of anosmia along with the demographic characteristics and reporting lag of cases with anosmia.
Task 1 (Convert Text files to SAS Datasets; 4 points):
1) Download the Demo19Q1.txt file. This is the same file used in the previous exam. Import the file using the attached codes but modify it to treat ALL dates as character variables. SAS doesn't need to know these values are dates, at least for now. Call this dataset "Demog"
2) Download and import the REAC1901.txt file. Call this dataset "AE" and keep only primaryid and PT variables. Create labels for these variables, only.
Task 2 (Identify reports of Anosmia; 10 points)
1) Using the AE dataset, create a new dataset called "Anosmia" that contains a variable called "Check" with a value of 1 if anosmia is present and 0 if absent. Follow the instructions below to complete this step
a. Convert all values within PT to a uniform case.
b. Anosmia will be identified using any of the following terminologies: anosmia, parosmia, microsmia, or hyposmia.
c. If any of these events are present, "Check" should equal 1 otherwise it should equal
zero.
2) Create a label for the Check variable using the following description: "Presence or Absence of Anosmia"
3) Create and apply a SAS format called "check?" to the variable "check" to format its values of 1 and 0 to Yes and No, respectively.
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