Competencies and Learning Objectives for Biostatistics
| Competency | Specific course(s) that allow assessment | |
|---|---|---|
| 1 | Apply the theoretical foundations of probability theory and distribution theory | BIOSTAT601 |
| 2 | Derive the theoretical mathematics of statistical inferences | BIOSTAT602 |
| 3 | Perform linear regression model fitting and diagnosis | BIOSTAT650 |
| 4 | Perform generalized linear regression model fitting and diagnosis | BIOSTAT651 |
| 5 | Perform ANOVA analysis and longitudinal data analysis | BIOSTAT653 |
| 6 | Interpret the results of statistical analysis in a variety of health-related areas (e.g. public health, medicine, genetics, biology, psychology, economics, management and policy, nursing, or pharmacy) for the broad scientific community | BIOSTAT699 |
| 7 | Communicate statistical analysis through written scientific reporting for public health, medical, and basic scientists, and/or educated lay audiences | BIOSTAT699 |
| Competency | Specific course(s) that allow assessment | |
|---|---|---|
| 1 | Explain key components of research design and statistical analysis, including observational studies, clinical trials, and survey studies | BIOSTAT558 |
| 2 | Use statistical software to apply statistical methods and techniques | BIOSTAT511 |
| 3 | Perform statistical analysis using modern statistical methods | BIOSTAT524 |
| 4 | Interpret statistical analysis results in a health-related area (e.g. public health, medicine, genetics, biology, psychology, economics, management and policy, nursing, or pharmacy) for the broad scientific community | BIOSTAT590 |
| 5 | Address ethical and cost-utility issues in clinical research, including the psychosocial aspects of data sciences and the need to ensure validity of the data and analyses | HMP542, HBEHED531, HMP540 |
| Competency | Specific course(s) that allow assessment | |
|---|---|---|
| 1 | Understand the roles and principles when a biostatistician conducts the analysis of biomedical or public health data | BIOSTAT620 |
| 2 | Distinguish among the different measurement scales and data quality, as well as their implications for selection of statistical methods and algorithms to be used based on these distinctions | BIOSTAT620 |
| 3 | Apply quantitative techniques commonly used to summarize and display big public health data | BIOSTAT629 |
| 4 | Apply descriptive and inferential methodologies according to the type of study design or sampling technique for answering a particular public health question | BIOSTAT629 |
| 5 | Apply basic informatics and computational techniques in the analysis of big health data, and interpret results of statistical analysis | BIOSTAT625 |
| Competency | Specific course(s) that allow assessment | |
|---|---|---|
| 1 | Apply the advanced probability theory and distribution theory | BIOSTAT801 |
| 2 | Derive the advanced theoretical mathematics of statistical inferences | BIOSTAT802 |
| 3 | Perform linear regression model fitting and diagnosis | BIOSTAT650 |
| 4 | Perform generalized linear regression model fitting and diagnosis | BIOSTAT651 |
| 5 | Perform statistical analysis for longitudinal data and correlated data | BIOSTAT653 |
| 6 | Communicate through written and oral presentation based on statistical analysis for audience from a variety of health-related areas (e.g. public health, medicine, genetics, biology, psychology, nursing, or pharmacy) and for the broad scientific community | BIOSTAT699 |
| 7 | Develop new statistical methodology for application in real life problems in Biosciences | Dissertation |
| 8 | Prepare a methodological manuscript for publication in a peer-reviewed biostatistical journal | Dissertation |