Biostatistical Analysis
| Nancy Ostiguy, Ph.D., M.P.H. | |
| Office Hours | Monday and Wednesday 2-3 PM and by appointment |
| Office Location | 542 Agricultural Sciences & Industries Building (ASI) |
| Phone | 863-2872 |
| nxo3@psu.edu | |
| Web Site | http:\\www.ento.psu.edu/personnel/Faculty%20pages/ostiguy.htm |
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| Required | Biostatiscal Analysis - Jerrald H. Zar |
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| This course is a biostatistical methods course designed for graduate students in entomology and other agriculture sciences. The goal of this course will be to provide the tools to effectively design and analyze quantitative studies. We will be covering topics such as study design, data collection, data types, and statistical analysis. Basic parametric and non-parametric statistical techniques, such as Student’s t-test, ANOVA, Chi-square will be reviewed to insure the conceptual understanding and use of the techniques prior to moving on to study more advanced methods. The choice of specific advanced statistical techniques to be studied will be determined by student interest and the types of data students have or are planning to collect. (Students will be expected provide ideas for future scientific studies and/or data from completed or on-going studies.) |
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| Homework:
There will be between 8 and 10 homework assignments. Homework assignments will be based upon the statistical techniques being studied. You will create small data sets to simulate data that would be appropriate to the method being studied. You may, and should, work with others on your homework. The actual work should be done individually and any conclusions should be your own. No Late Work will be accepted. |
| Project:
You are to design a study and analyzed data from a study. [If you already have a study in progress or completed, you may use this design and data. If you don’t have a data set, I will work with you to create one.] The focus of the project is to design a study using valid, reliable, accurate and precise data. You will determine the best statistical techniques needed to analyze the data and complete the analysis. The written report will consist of a description and justification of the study question, the research design, the variables to be used in the study, the statistical techniques necessary to analyzed the variables, the results from data analysis and the conclusions that can be reached from the analysis performed. Please type your report. No Late Work will be accepted. |
| Mid-semester Exams:
There will be 3 mid-semester exams. Each will occur on the date scheduled irrespective of the material covered thus far. The last exam will include questions that require you to determine the appropriate statistical test for a given type of data and interpreting statistical results. |
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| Homework | 10 @ 10 points each | 100 points |
| Mid-semester Exams | 3, 75 points each | 150 points |
| Project | 75 points | |
| TOTAL | 325 points | |
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Course Introduction | |
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Sampling from Populatoins & General Study Design | Chapters 2 & 25 |
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Type of Data; Validity, Reliability, Accuracy and Precision | Chapter 1 |
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Descriptive Statistics
Measures of Central Tendency and Dispersion |
Chapters 3 & 4 |
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Class cancelled - work on project | |
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Nominal and Categorical Data One factor designs: Goodness of fit: Chi-square and G-test | Chapter 22 |
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Two factor Design: Goodness of fit & Test of Independence | Chapter 23 |
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Binomial distributions
Fisher Exact Test Poisson Distributions |
Chapter 24 |
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EXAM | |
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Ratio DAta - Normal Distributions | Chapter 6 |
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One Factor Designs: One Sample Hypothesis | Chapter 7 |
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Independent Two Sample Hypothesis - parametric | Chpater 8 |
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Fall Break | |
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Independent Two Sample Hypothesis - nonparametric | Chapter 8 |
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Paired Two Sample Hypothesis - parametric | Chapter 9 |
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Paired Two Sample Hypothesis - nonparametric | Chapter 9 |
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Three of more Samples: Analysis of Variance - parametric and non-arametric | Chapter 11 |
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Multiple Comparisons - parametric and non-parametric | Chapter 11 |
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Two Factor Crossed Designs
Two-factor analysis of variance, randomized block design, and repeated measures |
Chapter 12 |
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Three Factor Crossed Designs
Latin Squares and Randomized block and repeated designs |
Chapter 14 |
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EXAM | |
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Simple Linear Regression | Chapter 17 |
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Simple Linear Correlation | Chapter 19 |
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Multiple Regression | Chapter 20 |
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Multiple Correlation | Chapter 20 |
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Thanksgiving | |
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Partial Regression Coefficients | |
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Partical Correlations | |
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Logistic Regression | Chapter 20 |
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Catch up | |
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Non-linear regression | Chapter 21 |
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EXAM | |
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| Learning or other disabilities:
If you have any learning or other disability that may affect your performance in this class, please speak with me. Necessary arrangements will be made. Any student who has need for accommodations based on disability or other life factors, should notify me, and discuss with me, by the end of the second week of the semester what your accommodation needs are. I am happy to make and negotiate accommodations in accordance with Section 504, Rehabilitation Act of 1973, with ADA, and/or as a result of other necessities. I have often found that an accommodation request from a student is an accommodation that can be instituted into the course as a whole, and benefit all students. |
| Academic Integrity:
Your work is expected to adhere to the University’s standards of academic integrity. "Academic integrity is the pursuit of scholarly activity in an open, honest and responsible manner. Academic integrity is a basic guiding principle for all academic activity at The Pennsylvania State University, and all members of the University community are expected to act in accordance with this principle. Consistent with this expectation, the University's Code of Conduct states that all students should act with personal integrity, respect other students' dignity, rights and property, and help create and maintain an environment in which all can succeed through the fruits of their efforts." "Academic integrity includes a commitment not to engage in or tolerate acts of falsification, misrepresentation or deception. Such acts of dishonesty violate the fundamental ethical principles of the University community and compromise the worth of work completed by others". See Policies and Rules for Students, Section 49-20 for Penn State's complete policy on Academic Integrity. Any work you submit for this course without appropriate citation of the work of others is plagiarism and will not tolerated. If you include ideas, sentences, or other material that are not yours in your work, you must properly cite your source(s). Your name on any assignment submitted indicates that you understand the rules on plagiarism and academic integrity and that the submitted work is your own. All violations of academic integrity will result in a grade of a zero (0) for the assignment. |
| Make-up exams:
All exceptions to taking the exams (midterms and final) at the scheduled time and date must be arranged at least 2 weeks prior to the exam date. Any exam not taken at the schedule time and date must be taken before the regularly scheduled exam; any exceptions will result in an oral exam. Exams missed due to documented illness or documented death in your immediate family will be recorded as the average of prior/subsequent exam scores. |
| Late work:
Assignments are due at the beginning of class on the due date. You must obtain prior approval to submit any work after the due date unless you have an approved absence. |
| Phones, pagers, beepers, etc:
If you need to be contacted during class, the devise you use must be soundless and not disrupt class. If you need to make or receive a call during class you may leave class to do so but you may not return until the next class period. You will be responsible for any missed material. |
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(http://www.psu.edu/ur/2001/principles.html)
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