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Biostatistics, MS (PSM Program)

Student Outcomes

Assessment of Student Outcomes

Outcome MS-A Oral Communication

Biostatistics graduates will be able to effectively communicate in a manner typically required by a biostatistician. Graduates can effectively communicate scientific observations, analyses, and arguments in a verbal format.
Objective 1 Students will effectively communicate scientific observations, analyses, and arguments in a verbal format.

Measure 1

2018 Status
Achieved
Data were collected W2018.

Outcome MS-B Written Communication

Biostatistics graduates will be able to effectively communicate in a manner typically required by a biostatistician. Graduates can effectively communicate scientific observations, analyses, and arguments in a written format.
Objective 1 Students will effectively communicate scientific observations, analyses, and arguments in a written format.

Measure 1

2018 Status
Achieved
Data were collected in winter 2018.

Outcome MS-C Statistical Modeling for Continuous Response

Biostatistics graduates will be able to develop and interpret statistical models.
Objective 1 Students will be able to develop, assess and interpret statistical models associating relevant predictors with a continuous response.

Measure 1

2018 Status
Achieved
Data were collected in fall 2017.

Measure 2

2018 Status
Achieved
Data were collected in fall 2017.

Outcome MS-D Statistical Modeling for Categorical Response

Biostatistics graduates will be able to develop and interpret statistical models.
Objective 1 Students will be able to develop, assess and interpret statistical models associating relevant predictors with a categorical response.

Measure 1

2018 Status
Achieved
Data were collected winter 2018.

Outcome MS-E Consolidating Data

Biostatistics graduates will be able to combine multiple data sets and prepare these data for analysis.
Objective 1 Students will be able to effectively merge information from multiple data sources and prepare these data for statistical analysis.

Measure 1

2018 Status
Achieved
Data were collected in winter 2018.

Outcome MS-F Sampling Plan

Graduates have the ability to design and implement a sampling (or randomization) plan.
Objective 1 Students will be able to demonstrate the ability to identify the study design employed in the scenario and develop a randomization strategy that can be used to randomly assign treatments to subjects.

Measure 1

2018 Status
Achieved
A scenario was given to the biostatistics students that requires the students to identify the study design employed in the scenario, ascertain the potential statistical methodology that will ultimately be utilized to analyze the data, and develop a randomization strategy that can be used to randomly assign treatments to subjects.

2018 Status
Achieved
A scenario was given to the biostatistics students that requires the students to identify the study design employed in the scenario, ascertain the potential statistical methodology that will ultimately be utilized to analyze the data, and develop a randomization strategy that can be used to randomly assign treatments to subjects.

2017 Status
Achieved
A scenario was given to the biostatistics students that requires the students to identify the study design employed in the scenario, ascertain the potential statistical methodology that will ultimately be utilized to analyze the data, and develop a randomization strategy that can be used to randomly assign treatments to subjects.

2017 Status
Achieved
A scenario was given to the biostatistics students that requires the students to identify the study design employed in the scenario, ascertain the potential statistical methodology that will ultimately be utilized to analyze the data, and develop a randomization strategy that can be used to randomly assign treatments to subjects.

Outcome MS-G Sample Size Determination

Graduates have the ability to determine sample sizes necessary to identify differences of a specified amount with a given probability.
Objective 1 Students will be able to determine the sample size necessary to conduct a study that will detect a difference of a specified amount with a given probability.

Measure 1

2018 Status
Achieved
A parametric problem was given to each student that requires them to determine the sample size necessary to conduct a study that will detect a difference of a specified amount with a given probability. Each student will write SAS programs that employ proc POWER to determine the appropriate sample size. In the end, the students will need to write up their solutions in the context of the problem.

2018 Status
Achieved
A non-parametric problem was given to each student that requires them to determine the sample size necessary to conduct a study that will detect a difference of a specified amount with a given probability. Each student will write SAS programs that employ proc POWER to determine the appropriate sample size. In the end, the students will need to write up their solutions in the context of the problem.

2017 Status
Achieved
A parametric problem was given to each student that requires them to determine the sample size necessary to conduct a study that will detect a difference of a specified amount with a given probability. Each student will write SAS programs that employ proc POWER to determine the appropriate sample size. In the end, the students will need to write up their solutions in the context of the problem.

2017 Status
Achieved
A non-parametric problem was given to each student that requires them to determine the sample size necessary to conduct a study that will detect a difference of a specified amount with a given probability. Each student will write SAS programs that employ proc POWER to determine the appropriate sample size. In the end, the students will need to write up their solutions in the context of the problem.