Epidemiology and Biostatistics II

Grading Criteria

Topics to Study

Suggested Resources

Part 1: Student has applied analytical results to facilitate decision-making.

Data display, power point, and dashboards

Unit 8 Reading: Reimers, M. (2014). Leveraging business intelligence to make better decisions: Part I. The Journal of Medical Practice Management, 29(5), 327–30.

Supplemental: Wakeling, S., Clough, P., Wyper, J., & Balmain, A. (2015). Graph Literacy and Business Intelligence: Investigating User Understanding of Dashboard Data Visualizations. Business Intelligence Journal, 20(4), 8-19.

Part 2: Student has recommended organizational action based on knowledge obtained from data exploration and mining.

Exploratory data analysis versus data mining

Unit 8 Reading: Chen, H., Chiang, Roger H. L., & Storey, Veda C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188.

Supplemental:

· Exploratory Data Analysis: “Chapter 3” in Discovering Knowledge in Data by Larose and Larose (2014)

· Data Mining: “Chapter 1” in Discovering Knowledge in Data by Larose and Larose (2014

Part 3: Student has analyzed clinical data to identify trends that demonstrate quality, safety, and effectiveness of healthcare.

Descriptive statistics (mean, standard deviation, ranges, and percentiles)

Inferential statistics (T-tests, ANOVA, regression analysis, reliability, and validity); Epidemiological applications

Unit 1 Reading: Read pages 29–78 in Statistics in Plain English.

Unit 2 Reading:

· Statistics in Plain English

· Chapter 9: “t Tests”

· Chapter 10: “One-Way Analysis of Variance”

· Chapter 13: “Regression”

· SPSS Statistics for Dummies

· Part 1: “Getting Started with SPSS” (pages 1–42)

Unit 5 Reading:

· Statistics in Plain English

· Chapter 10: “One-Way Analysis of Variance” (Review as needed)

· Chapter 11: “Factorial Analysis of Variance”

· Chapter 12: “Repeated-Measures Analysis of Variance”

· SPSS Statistics for Dummies

· Part 1: “Getting Started with SPSS” (pages 260–262)

Part 4: Student has evaluated administrative reports using appropriate software

Statistical software

Management Information Systems

Administrative Reports versus Data Sets

Unit 8 Reading: Ivan, Mihaela & Velicanu, Manole (2015). Healthcare industry improvement with business intelligence. Informatica Economica, 19(2), 81–89.

Part 5: Student has interpreted inferential statistics.

Inferential statistics (T-tests, ANOVA, regression analysis, reliability, and validity)

Computerized statistical packages (SPSS & SAS)

Unit 7 Reading:

· SPSS Statistics for Dummies

· Part 1: “Getting Started with SPSS” (pages 1–42) [This was assigned in the previous unit. Please review as necessary.]

· Part 2: “Getting Data in and out of SPSS” (pages 43–112)[Please review as needed.]

· Chapter 15: “Showing Relationships between Continuous Dependent and Categorical Independent Variables” (pages 235–247) [This chapter directly relates to this unit’s Assignment.]

Part 6: Student has analyzed statistical data for decision making.

Data reporting of statistical healthcare data and presentation techniques

Unit 8 Reading: Warner, Diana. (2013). IG 101: Developing clinical business intelligence. Journal of AHIMA. Retrieved from http://journal.ahima.org/2013/12/18/ig-101-developing-clinical-business-intelligence

Supplemental: “Chapter 11” in Calculating and Reporting Healthcare Statistics by Horton (2012)

Part 7: Student has planned adherence to Institutional Review Board (IRB) processes and policies.

National guidelines regarding human-subjects research (IRB process)

Research protocol data management

Please note:

· If you have completed HS305, you have received national certification in Protecting Human Research Participants from the National Institutes of Health (NIH) at the following link: https://phrp.nihtraining.com/users/login.php

· Resources are free in completion of this certification. Please register and complete if needed.