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HMGT 400 Research and Data Analysis in Health Care-Exercise Dataset: HMGTHOSP.csv (Please download dataset from the class). Required program: RStudio or R Programming. Author, Hossein

HMGT 400 Research and Data Analysis in Health Care-Exercise

Dataset: HMGTHOSP.csv (Please download dataset from the class).

Required program: RStudio or R Programming.

Author, Hossein Zare, PhD

Citation: Zare, H. (2017). HMGT 400 7980 Research and Data Analysis in Health Care-Exercise. UMGC.EDU

For each week exercise, For the RStudio codes and a video, please follow the class announcement page.

If you have chosen to work with Excel, please run the three linear regression models and complete the following tables.

Medicare and Medicaid Discharge Ratios:Medicare Discharges Total Hospital Discharges;Medicaid Discharges Total Hospital Discharges

Model 1:

Run a linear model to predict the impact of number of hospital beds (use bed-tot) on hospital net-benefit in teaching hospitals.

Hospital Characteristics Coef. ST. ERR T Stat P-values Lower 95% Upper 95%
Hospital beds
R Square

(Limit all results to 2 decimal places max)

Model 2:

Run a linear model to predict the impact of number of hospital beds (use bed-tot) on hospital net-benefit in non-teaching hospitals.

Hospital Characteristics Coef. ST. ERR T Stat P-values Lower 95% Upper 95%
Hospital beds
R Square

(Limit all results to 2 decimal places max)

Use the results from model 1 and model 2 and compare the results between teaching and non-teaching hospitals.

Model 3:

Now, include theMedicare and Medicaid discharge ratios in first model. How do you evaluate the impact of having higher Medicare and Medicaid patients on hospital net-benefit in teaching hospitals?

Hospital Characteristics Coef. ST. ERR T Stat P-values Lower 95% Upper 95%
Hospital beds
Medicare-discharge-ratio
Medicaid-discharge-ratio
R Square

(Limit all results to 2 decimal places max)

Model 4:

Now, include the Medicare and Medicaid discharge ratios in first model. How do you evaluate the impact of having higher Medicare and Medicaid patients on hospital net-benefit in non-teaching hospitals?

Hospital Characteristics Coef. ST. ERR T Stat P-values Lower 95% Upper 95%
Hospital beds
Medicare-discharge-ratio
Medicaid-discharge-ratio
R Square

(Limit all results to 2 decimal places max)

Based on your findings, please recommend 3 policies to improve hospital performance. Please make sure to use the final model for your recommendations.

Hospital net benefits total_hospital_beds Medicare discharge ratio Medicaid discharge ratio own system_member teaching_hospital
-1600000 168.92 0.303580133 0.322896723 0 0 0
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1000000 20.6 0.437508197 0.210382514 2 0 0
53000000 493.37 0.19803318 0.346949622 2 0 0
2200000 237.93 0.174868344 0.216647162 0 0 0
5000000 14.42 0.424808989 0.275280899 1 0 0
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24000000 37.08 0.178763397 0.272052762 0 1 0
18000000 101.97 0.472831025 0.215604801 1 1 0
18000000 360.5 0.288865538 0.193043478 1 1 0
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64000000 252.35 0.307772625 0.270414889 2 1 0
17000000 273.98 0.259680452 0.211498343 2 1 0
47000000 273.98 0.259680452 0.211498343 1 1 0
41000000 273.98 0.259680452 0.211498343 1 1 0
1900000 0 0 0 0 1 0
3800000 507.79 0.24375172 0.295574147 1 0 1
26000000 50.47 0.269109308 0.312171838 0 0 1
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41000000 397.58 0.440587612 0.060718655 1 1 1
61000000 327.54 0.415043784 0.135848319 2 1 1
23000000 169.95 0.180636883 0.343489087 0 1 1
74000000 585.04 0.205662522 0.29287388 0 1 1
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5900000 13.39 0 1 2 0 0
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20300000 673.62 0.24873877 3.29337E-05 0 1 1
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