代写PM 510: Principles of Biostatistics Fall 2024代写C/C++程序

日期：2024-09-27 12:31

Department of Population and Public Health Sciences

PM 510: Principles of Biostatistics

Syllabus: ?Fall 2024

Course Description: ?This course provides an in-depth introduction to biostatistical methods?and?their applications in the field of?biology and health sciences.?Students will?develop?a comprehensive understanding of?statistical concepts and techniques, while also gaining hands-on experience using the?Statistical Package for the Social?Sciences (SPSS)?software for?data analysis. Students will be equipped with the skills necessary to effectively?design?experiments,?analyze biological data, and draw meaningful conclusions by the end of?the?course.

Course Objectives:

1. ??Knowledge and Comprehension:

? ????Define and explain fundamental statistical terms?and?concepts used?in biostatistics.

? ????Describe different types of?data and their appropriate graphical?and numerical?summaries.

? ????Explain?the?principles?of?probability?and?their?role?in?biostatistical?analysis.

? ????Understand?the?basics?of?experimental?design?in?biological?research.

2. ??Application and Analysis:

? ????Apply descriptive statistics to summarize and visualize biological?data.

? ????Perform. inferential statistical tests (t-tests, ANOVA, chi-square) to?analyze?differences?and associations in biological datasets.

? ????Conduct correlation and regression analyses to assess relationships between?variables?in biological studies.

? ????Interpret?the?results?of?statistical?analyses?and?draw?biologically?meaningful?conclusions.

3. ??Synthesis?and Evaluation:

? ????Design sound experiments and sampling?strategies to?address?research?questions?in?biology.

? ????Evaluate?the?assumptions?and?limitations?of?different?statistical?tests?in?the?context?of biological data.

? ????Critically?assess?published?research?studies?that?use?statistical?methods?in?the?field?of biostatistics.

? ????Synthesize information from multiple sources to?develop?a?comprehensive?statistical?analysis plan for a biological research project.

4. ??Application?of?SPSS:

? ????Navigate and utilize SPSS software for data?entry, management,?and basic?manipulation.

? ????Import and export data between different?file formats?within?the?SPSS?environment.

? ????Perform.?data?transformations, recoding, and?computation?of?derived?variables?using?SPSS syntax.

? ????Generate graphical representations and interpret output?from?SPSS?analyses.

5. ??Problem?Solving and Project Design:

? ????Identify appropriate statistical methods to address?specific research questions?in biostatistics.

? ????Develop?comprehensive?analysis?plans?for?various?types?of?biological?data.

? ????Formulate hypotheses, choose appropriate tests, and outline the steps?for?conducting statistical analyses in research projects.

6. ??Ethical and Professional Considerations:

? ????Recognize ethical issues related to data collection,?analysis,?and reporting?in biostatistics.

? ????Demonstrate?awareness?of?responsible?data?handling?and?privacy?considerations?when using biological datasets.

? ????Communicate statistical results accurately and effectively to both?technical?and?non- technical audiences.

7. ??Integration and Application to Research:

? ????Apply acquired knowledge and skills to analyze real-world biological datasets?and research questions.

? ????Collaborate effectively with multidisciplinary teams to contribute statistically?sound insights to biological research?projects.

By the end of this course, students will be proficient in applying statistical concepts and?techniques to address challenges and opportunities in biostatistics within the context??of?biological and health sciences.

Recommended Textbooks: Principles of Biostatistics, 2nd?Edition

Marcello Pagano and Kimberlee Gauvreau?Duxbury, 2000

Biostatistical Analysis, 5th?Edition Jerrold H. Zar

Prentice Hall, Inc. (may be listed?as?Pearson?Prentice Hall or Pearson Education)

OpenIntro?Statistics, 4th Edition

Diez DM, Barr CD, Cetinkaya-Rundel M. https://www.openintro.org/book/os/ (2019)

The electronic version of?this text is free?at?the?link

above. ?You can purchase a?hard copy on?the?above

website or through Amazon for ~$20. ?There are many

supplemental materials with this text including videos and labs?you may find useful.

Software: IBM?SPSS?Statistics V29. ?Some homework will require the use of SPSS, which is a?statistical analysis software package. ?This software is offered?for?free?through?USC?ITS.??The

TA will reach out to you with a license form. you must?complete?and return?in?order?to?receive?an?activation code. ?The license key is personalized, so please to not?share with?other individuals.

However, if?you did not receive an e-mail from the?TA, to?get?SPSS?you?can?go?to https://software.usc.edu/spss/spss-orderstudent/and?do TWO things:

1. ??Request your subscription by following the instructions at the bottom of?the?order page

2. ??Download the software using the link provided by ITS.

SPSS is also freely available?on the USC Virtual?Desktop?Interface?(VDI;

https://itservices.usc.edu/vdi/). ?However, if?you?have?poor?internet?connectivity, we?highly

recommend you install a local copy of SPSS on your computer. ?Also,?you?cannot?store?any?files??on the VDI and, depending on user load, the VDI may not be available?due to?the?limited number?of?available licenses. ?Therefore, again, we highly recommend you install a local?version?on your personal laptop or desktop computer.

You are expected to learn the basics of?using?SPSS on your?own. ?We provide?a?screencast?that?reviews some of?the basics and provide a link to a tutorial below.??There?are?many?online

resources that will help you?learn?SPSS basics.

Other Materials: ???Recorded?lectures?and?slides?(posted?onhttps://brightspace.usc.edu/)

Course reader (posted on Brightspace)

Homework assignments (posted on Brightspace)?Supplemental articles (posted on Brightspace)

On-line SPSS tutorial (LinkedIn Learning; there are?many?other tutorials?available online)

Policy on Generative Artificial Intelligence (AI) tools: In?this?course,?you?can?choose?to?use?AI-powered?programs?to?help?you?with?homework?assignments.??You?should?be?aware?that?AI?text??generation??tools??may??present??incorrect??information,??biased??responses,??and??incomplete?analyses. ?Thus, they?are not yet prepared?to?produce?text?that?meets?the?standards?of?this?course. To?adhere?to?our?university?values,?you?must?cite?any?AI-generated?material,?e.g.,?text,?images,?etc,?included?or?referenced?in?your?work?and?provide?the?prompts?used?to?generate?the?content.?Using?an AI tool to?generate?content without proper?attribution?will?be?treated?as?plagiarism?and reported?to?the?Office?of?Academic?Integrity.

Course Information: This?course?will?employ?a?flipped?classroom?design?to?encourage?active?student?participation?and?engagement?with?the?course?material. ??In ?order?to ?facilitate?optimal?flipped?classroom?conditions?that?allow?the?most?active?student?participation?in?discussion?and?learning?in ?synchronous ?class ?sessions, ?students ?will?be?required?to?view?videos ?and ?course?materials?posted ?in ?Brightspace ?or ?shared ?by ?your ?instructor ?in ?advance ?of ?class ?meetings.?Students?should?come?to?class?prepared?to?discuss?course?readings?and?any?required?viewing?or?supplementary materials. Please expect the following weekly time commitment for this course:

????Contact time (lectures/labs/discussion sections; pre-recorded or live): ?3 hrs?55 min

????Out-of-class time (homework, readings): ?9 hrs?15 min

Participation: Discussion will comprise a significant component?of?class participation. ?You?are expected to respectfully and actively listen to your peers?and?to?thoughtfully?contribute?your?own?ideas to our discussions.

What you will NOT need during synchronous sessions: Please ?turn ?off?your ?cell?phones ?or?any other device that would disrupt the class.

Grading: Weekly Quizzes (15%)

Midterm Exam (35%)

Final Exam (40%)

Homework Completion (10%)

The course grading rubric is shown in the table on the right. If you find yourself falling below the 55% level, please reach out to the instructor or TA. Students have generally performed well in this class and falling below 55% early in the course has been a strong predictor of a poor final grade.

Grading Scale
A ?????95-100%? A- 90-94.99%? B+ 85-89.99%? B 80-84.99%? B- 75-79.99%? C+ 70-74.99%	C ????60-69.99%? C- 55-59.99%? D+ 50-54.99%? D 45-49.99%? D- 40-44.99%? F <40%

Quizzes: There will be a weekly quiz given?online before each?synchronous?session?that?covers?that week’s materials. The quizzes will be administered via Brightspace and you will have?15 min to take the quiz during the 36 hour period before the start of the synchronous session. That?means you must take the quiz on your own during that?36 hour period prior to the?start?of?each week’s synchronous session. ?You will not be allowed to use any reference materials?(your lecture notes, textbooks, internet-based resources) for the quizzes. The quiz?is timed?for?15?min,?but you will be given three attempts at the quiz and your?highest?score will?be your?final?score. Because?of?the?possibility?of?internet?connectivity?issues, we?have?set?things?up?to?be?as?flexible ?as possible.

We have not activated the automated submission,?so Brightspace will?allow you to?exceed?15 min?for?the?quiz. ?However, please?note?Brightspace?keeps?track?of?your?time?and?will?indicate?if a question is answered after your?15?min time limit. ?Questions?answered?after the?time?limit?will?not count towards your score, so please keep track of?your time. ?The?quizzes?are?designed to help you determine if?you are keeping up with the class materials and providing you?feedback?on where you might need to spend more time reviewing specific materials. ?The questions?on the quizzes do not reflect the types of?questions that will be asked on the midterm?or?final?exams.

Exams: There will be a midterm and a final. ?Both?exams will be?held?during?the?synchronous?class hours and will be in-person, but will be administered via Brightspace. ?The exams?are designed for 2-hours, but you will given 3-hours to complete it,?assuming nobody?is using?the?classroom after our scheduled time. ?You will only be allowed to use your?lecture notes,?the course?reader, and?the?online p-value?calculator?for?the?exams.

The exams are designed to test your ability to choose?an?appropriate?statistical test?to?answer?a specific research question, test your knowledge of?statistical concepts, and test your ability to use a statistical test to obtain a correct conclusion to the?research?question.??A?reminder?to?fully charge your laptops or other digital devices prior to?coming in?for your?exams.??Depending?on the?classroom assigned to us, outlets may be scarce. ?You are more than welcome?to bring?extension???cords and power strips to?use during the?exams.

Please turn off?or silence your cell phones or other devices?during the?exam.??You?will?not be??allowed to touch your cell phones during the exam period. ?Also, you are on?the?honor?system?that you will not access additional materials online or on your?computer?during the?exam.

Anyone found to have violated the honor system or reaching for their cellphones will receive an automatic grade of “F”for the exam.

Homework: Homework?will?be?assigned?after?each?topic?is?covered?and?will?be?due?according?to the schedule shown at the end of?the?syllabus.??Homework will be?assigned?and?turned?in using?Brightspace.

Late homework will not be accepted without an adequate excuse, e.g., documented?illness.

Make?arrangements?with?the?instructor?or?TA well in advance of?the?deadline,?if?you?know?you will be late turning in a homework. ?Plan to complete all?assignments?early,?in?case unforeseen??circumstances arise, particularly with respect to Brightspace access.

Rules for homework:

Show all your work. ?All steps that led?up to your answer must be?shown.

Write clearly. Sloppy/illegible work will receive no credit. It is highly?recommended?you use Word to write up your homework and cut-and-paste your SPSS output when???necessary.

For questions requiring an interpretation or conclusion, phrase these in your own?words.?If?students?are?suspected?of?plagiarizing, i.e., having?the?exact?same?wording?of?a?free response answer, they will receive no credit for that problem and will be subject to academic discipline.

Scan or take a picture of?your written work, consolidate all your work into a single file for uploading to Brightspace. ?File format can be PDF or Word document.??Please make?sure the scan/picture is?clear!

Again, late homework will not be accepted.

There will be a section labeled “Beyond the Basics” for?some?of?the homework

assignments. ?These are extra problems for students who might be interested?in?a bit more?theoretical detail underlying some of?the topics we are covering?in?this?course. These are not required as part of the assignment and are voluntary only.

o?It is highly recommended you attempt the “Beyond the Basics” problems, if?you are considering biostatistics as a future?career.

Although the individual homework assignments are only worth one point, please remember??the overall homework is worth 10% of your final grade.??So, skipping?homework?can?have?an adverse effect on your?final?grade.