QuestionQuestion

Diagnosis of Depression in Primary Care

To study factors related to the diagnosis of depression in primary care, 400 patients were randomly selected and the following variables were recorded:

DAV: Diagnosis of depression in any visit during one year of care.
0 = Not diagnosed
1 = Diagnosed
PCS: Physical component of SF-36 measuring health status of the patient.
MCS: Mental component of SF-36 measuring health status of the patient
BECK: The Beck depression score.
PGEND: Patient gender
0 = Female
1 = Male
AGE: Patient’s age in years.
EDUCAT: Number of years of formal schooling.

The response variable is DAV (0 not diagnosed, 1 diagnosed), and it is recorded in the first column of the data.
The data are stored in the file final.dat and is available from the course website.
Perform a multiple logistic regression analysis of this data using SAS or any other statistical packages.
This includes estimation, hypothesis testing, model selection, odds ratios, residual analysis and diagnostics.
Explain your findings in a 3 to 4- page report.

Your report may include the following sections:
• Introduction: Statement of the problem.
• Material and Methods: Description of the data and methods that you used for the analysis.
• Results: Explain the results of your analysis in detail. You may cut and paste some of your computer outputs and refer to them in the explanation of your results.
• Conclusion and Discussion: Highlight the main findings and discuss.

Please cut and paste the computer outputs to your report and do not include any direct computer output as an attachment.
Please note that you have also the option of using a similar dataset in your own field of interest.

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REPORT
Introduction:
In today’s world everyone is concerned about their health, to live a healthy life is a challenge because of increase in work load in everyone’s life for example. In this report we want to study Diagnosis of Depression in Primary Care using the different factors such as Physical component of SF-36 measuring health status of the patient, Mental component of SF-36 measuring health status of the patient, The Beck depression score, Gender, Age and Number of years of formal schooling.
Material and Methods:
Data:
To study factors related to the diagnosis of depression in primary care, 400 patients were randomly selected, and the following variables were recorded:
DAV: Diagnosis of depression in any visit during one year of care (0 = Not diagnosed, 1 = Diagnosed)
PCS: Physical component of SF-36 measuring health status of the patient.
MCS: Mental component of SF-36 measuring health status of the patient.
BECK: The Beck depression score.
PGEND: Patient gender (0 = Female, 1 = Male)
AGE: Patient’s age in years.
EDUCAT: Number of years of formal schooling

There are 400 observations in the data set and 6 independent variables in which PCS, MCS, BECK, AGE and EDUCAT are measured on a continuous scale...

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