Courses Taught by Philip Boonstra
BIOSTAT591: Introduction to R
- Graduate level
- Both Online MPH and Online MS
- This is a first year course for Online students
- Spring-Summer term(s) for online MPH students; Spring-Summer term(s) for online MS students.
- 2 credit hour(s) for online MPH students; 2 credit hour(s) for online MS students;
- Instructor(s): Boonstra, Philip (Online MPH); Boonstra, Philip (Online MS);
- Prerequisites: None
- Description: This is a two-credit hour course preparing students enrolled in the online MPH and MS programs -- Biostatistics concentration to be 'data-ready' using the R statistical environment.
- Learning Objectives: Understanding the need to plot data Matching graphical techniques and data type Creating your set of 'go-to' graphical tools Understand the limitations of 'point and click' Incorporating the tidyverse into R Turning your "data" into data Learning R's capabilities Asking the right questions in R Writing reproducible R code Writing shareable R code CEPH learning objectives 1. Select quantitative and qualitative data collection methods appropriate for a given public health context 2. Analyze quantitative and qualitative data using biostatistics, informatics, computer-based programming and software, as appropriate 3. Interpret results of data analysis for public health research, policy or practice
|Department||Program||Degree||Competency||Specific course(s) that allow assessment||Population and Health Sciences||MS||Apply methodological skills needed to plan, conduct, critique and/or research population health issues and solutions.||BIOSTAT591, PUBHLTH511, PUBHLTH512, PUBHLTH515, PUBHLTH682, PUBHLTH683|
BIOSTAT699: Analysis of Biostatistical Investigations
- Graduate level
- Winter term(s) for residential students;
- 4 credit hour(s) for residential students;
- Instructor(s): Mukherjee, Bhramar Morrison, Jean Boonstra, Philip Taylor, Jeremy (Residential);
- Prerequisites: Registration for last term of studies to complete MS or MPH
- Description: Identifying and solving design and data analysis problems using a wide range of biostatistical methods. Written and oral reports on intermediate and final results of case studies required.
- Syllabus for BIOSTAT699
|Department||Program||Degree||Competency||Specific course(s) that allow assessment||BIOSTAT||MPH||Interpret the results of statistical analysis to public health audience||BIOSTAT699||BIOSTAT||MPH||Write scientific reports based on statistical analysis for effective collaboration with public health related scientists in epidemiology, health management and policy, environmental health sciences, nutrition, and health behavior and health education||BIOSTAT699||BIOSTAT||MS||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||BIOSTAT||MS||Communicate statistical analysis through written scientific reporting for public health, medical, and basic scientists, and/or educated lay audiences||BIOSTAT699||BIOSTAT||PhD||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|