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Syllabus Personal Introduction SYLLABUS Lamar University, a Member of The Texas State University System, is accredited by the Commission on Colleges of the Southern Association of Colleges and Schools to award Associate, Baccalaureate, Masters, and Doctorate degrees (for more information go to http://www.lamar.edu). Course Title: Biostatistics Course Number: HLTH 5303 Course Section: 48F Department: Health and Kinesiology Professor: Dr. Israel Msengi, CHES Office Hours: Virtual (online) Wednesday 7-8pm or by appointment. Physical: MW 11:30-2:00pm Contact Information: LU email: igmsengi@lamar.edu Office:HHP 211 Phone: 409-880-8716 PERSONAL INTRODUCTION Welcome to Lamar University. My name is Dr. Israel Msengi, and I will be your instructor of record for Biostatistics. By way of a very brief introduction, I earned my baccalaureate in Public Administration with emphasis on Governance and master’s degrees in Community Health and a Doctorate in Community and Public Health. My area of expertise is Environmental Health, but I also enjoy the challenges of Obesogenic Environment research. I joined the faculty at Lamar in the fall of 2008 and I am currently an associate professor for the Department of Health and Kinesiology in the College of Education and Human Development. COURSE DESCRIPTION Biostatistics is an area of statistics that covers and provides the specialized methodology for collecting and analyzing biomedical, health care, and public health data. This course meets the biostatistics core course requirement for all degrees and concentrations in the Public Health program. Presentation of the principles and methods of data description and elementary parametric and non-parametric statistical analysis as well as sample size estimation are covered. Specific topics include: the collection, classification, and presentation of descriptive data; the rationale of estimation and hypothesis testing; analysis of variance; analysis of contingency tables; correlation and regression analysis; multiple regression, logistic regression, and the statistical control of confounding; sample size and power considerations; and survival analysis. Special attention is directed to the ability to recognize and interpret statistical procedures in articles from the current literature. This course gives students the skills to perform, present, and interpret basic statistical analyses using either the Statistical Analysis System (SAS) or the IBM Statistical Package for the Social Sciences (SPSS). Additionally, students will use Excel data sheets to enter, arrange and do basic data reviews prior to transferring data to dedicated statistical programs. 1 of 21 COURSE-LEVEL OBJECTIVES By the end of this course, students should be able to assess the role of biostatistics in public health, distinguish between descriptive and inferential statistics, perform, interpret, and communicate the findings of a variety of statistical techniques from both descriptive and inferential statistics in public health. In general, the development and application of statistical reasoning and methods in addressing, analyzing, and solving problems in public health, health care, and biomedical, clinical, and population- based research will be emphasized. Students who successfully complete this course will be able: 1. Explain the role biostatistics serves in public health and biomedical disciplines 2. Explain to others the statistical analyses in various research reports 3. Explain basic concepts of probability, random variation, and commonly used statistical probability distributions 4. Assess appropriate statistical methods (descriptive or inferential) to be applied in a given research setting, apply these methods, and acknowledge the limitations of those method 5. Distinguish among the different measurement scales and the implications for selection of statistical methods to be used on the basis of these distinctions 6. Analyze health data using statistical programs such as “IBM SPSS Statistics software and interpret the results. 7. Implement computer to communicate, study, and gain knowledge and skills on statistics. 8. Implement numerical, tabular, and graphical descriptive techniques commonly used to characterize and summarize public health data 9. Evaluate IBM SPSS output containing statistical procedures and graphics and interpret it in a public health context 10. Create written synthesis and oral presentations of findings on the basis of statistical analyses for both public health professionals and educated lay audiences. CEPH Foundational Competencies This course meets the following Council on Education for Public Health (CEPH)’s Core Competencies: 3. Analyze quantitative and qualitative data collection methods using Biostatistics, informatics, computer- based programming and software as appropriate 4. Interpret results of data analysis for public health research, policy and practice ACADEMIC PREREQUISITES 1. Undergraduate Introductory course to Statistics e.g. Psych 2317, Math 1342, or equivalent. Methods of Learning Biostatistics: 1. Reading the assigned material, which includes following the numeric examples closely and writing down questions about anything not entirely clear to you. Reading biostatistics requires close study and rereading, not just reading through once as you might an ordinary text book. You will also find it very helpful to work the “Smart Alex’s Tasks?” problems as you complete each chapter. 2. Completing the assigned practice problems (and uploading them on time). Biostatistics is a skill. It is necessary to DO statistics, not just read and understand. 2 of 21 3. Reading all lecture PPTs, watching video clips that demonstrate how to compute statistics, and ask questions. Be sure to have done the reading first. DON’T fall behind! Required texts: COURSE MATERIALS a. Andy Field (2018). Discovering Statistics using IBM SPSS Statistics, 5th Edition, SAGE Publications Inc, Thousand Oaks, California. ISBN-13: 978-1526419521. There is also a Bundle copy: Discovering Statistics using IBM SPSS Statistics 5e + SPSS v. 24 program. b. This book- “Discovering Statistics Using SPSS 5th Edition” covers material from introductory statistical concepts through very advanced concepts, incorporating SPSS applications throughout. c. Students must also access the Companion Website/Student Study Site (http://studysites.sagepub.com/field4e/study/default.htm) in order to study additional materials, complete homework and other activities. Resources are under “Student Resources” page. 1. CALCULATOR: Use a hand calculator for doing your assignments, also calculators are permitted during exams. I would much prefer you to spend your time developing an understanding of the statistical concepts rather than adding and dividing. A simple calculator that adds, subtracts, divides, multiplies, and takes square roots is all you need. Thus, calculators that also do statistical calculations will be of little help. 2. Statistical Software: You will need access to a software package that can do descriptive statistics, graphics, and inferential statistics. Your course text comes as a bundle with SPSS included. You will need to install SPSS on your computer in order to complete the SPSS assignments. Other statistical software are permitted as long as you know how to use them. If you happen to be on campus, you can use computer labs. Most campus computer labs have IBM SPSS installed in them. a. SPSS = Statistical Product and Service Solutions; a widely used computer program/software for statistical analysis. NOTE: Between 2009 and 2010 the premier software for SPSS was called IBM SPSS Statistics. 3. Online Resources: Go to http://www.learner.org/resources/series65.html# for VIDEO clips series on various statistical tests. GRADING POLICY AND EVALUATION (700 Possible total points) Grading Scale 1: Your grade will be based on the following set scale. A - 630-700= 90-100% = Outstanding or Exceptional work B - 560-623= 80-89% = Superior or better than average C - 490-553= 70-79% = average or adequate work D- 420-483= 60-69% = An “OK” work F- <413= <59% = unacceptable or work not done I – Incomplete Your final grade will be calculated as follows: (4 exam scores + 2 Discussions + SPSS analysis + interpretation scores ÷ 7 NOTE: There will be NO extra credit or making any special arrangements regarding grades or adjustment of grades. Please do NOT ask for any adjustments to your grade (other than for errors in grading). 3 of 21 GRADING OF ASSIGNMENTS AND ASSESSMENTS Components of the grading process include the following: 1. Exams = 4 (100 points each) = 400 total 2. Discussions = 2 (50 points each) = 100 total 3. IBM SPSS analysis & interpretation =6 exercises (33.33 each) =200 total a. NOTE: Scores on assignments are reduced 4 points for up to one due date late. They are reduced 8 points from two due date late or more. You receive 0 for an assignment not completed and turned in. 3: Examinations: There will be 4 exams for this course (as shown above). The nature of the exams will be multiple choice questions. You will be answering from 25 to 50 questions with each question depending on the number of chapters and details of information covered. Each exam will have to be taken on the day and time specified on the syllabus except if you are notified of any changes. The final exam is not comprehensive. You will have a one chance to retake your exam. Retaking your exam does not guarantee a better score the next time around. Email me to ask for an exam reset. Also: 1. Each of the four exams will cover only the material since the last
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