Biostatistics 501: Introduction to Biostatistics, Fall 2017 September 6, 2017

Instructors: Michael Boehnke M4108 SPH 2 boehnke@umich.edu 734-936-1001

Matt Zawistowski M4025 SPH2 mattz@umich.edu 734-615-9618

Lecture: Monday and Wednesday 10:10-12:00 am in SPH 2 Auditorium, M1020. The first class meeting is Wednesday, September 6.

Lab: Once per week on Wednesday, Thursday, or Friday. Labs start on Wednesday, September 6.

You must register for a specific lab section and should only attend that lab section. Most lab meetings (including the first) will be held in the SPH computer cluster in the basement of SPH 2. Examination review sessions and problem sessions may be held in other SPH classrooms; we will let you know.

Prerequisite: Familiarity with basic algebra. Students who have had calculus should take 521. Competencies: This course addresses the following biostatistics core competencies:

Describe basic concepts of probability, random variation, and commonly used statistical probability distributions.

Apply descriptive techniques commonly used to summarize public health data.

Apply common statistical methods for inference.

Apply descriptive and inferential methods according to the type of study design for answering a particular research question.

Interpret results of statistical analyses found in public health studies. Required Texts:

Introduction to the Practice of Statistics, 9th Edition. Moore, McCabe, and Craig or the subsetted paperback version of the text (lacking original chapter 3) specific to this course.

Computer Lab Manual. Download this from the course Canvas site before the first lab. Calculator: You should have a calculator that can perform basic arithmetic operations, square roots, logarithms, and exponentiation (including base e). We do not have calculators to loan. Software: We will use SPSS in the lectures and in the lab sessions. Web Site: Canvas site (https://umich.instructure.com/courses/178737). Go to canvas.umich.edu and login using your UM uniqname and password, then go to BIOSTAT 501 001 FA 2017. Grading: The course grade will be based on the following weighting: 25% for homework and labs combined, and 25% each for examinations 1, 2, and 3. Examinations: Examinations 1 and 2 will be given during the regularly scheduled class time on October 18 and November 15. Examination 3 will be Monday, December 18 from 1:30-3:30 pm, as scheduled by the University registrar. If you have a conflict with any of these times, please let Peggy White (ppwhite@umich.edu, 734-936-1004, M4110 SPH2) know by Wednesday, September 13 so that we can schedule an alternate time.

Homework: Homework is an opportunity to practice skills and build your understanding of the material. Homework problems will be collected Wednesdays at the beginning of class; we will also accept homework until Wednesdays at 10:00 am in Peggy White’s mailbox in M4024 SPH 2. Late homework assignments will not be accepted except under unusual circumstances. At the end of the semester, your lowest homework score will be deleted before your homework grade is computed. In addition to the problems to be handed in, we will suggest problems that will not be collected nor graded but that you may find useful for studying. Answers to odd numbered problems are in the textbook. You are permitted (indeed encouraged) to work together on homework and laboratory exercises, but submitted assignments must be written independently. Copying some or all of a homework assignment from someone else or from the web, or allowing your assignments to be copied by someone else, is cheating. If you have questions about this policy, please discuss with Mike. Homework Assignment Instructions: Identify your homework by writing the following information in the upper right corner of every page of each assignment: your name, Biostatistics 501, lab section number, GSI name, and date. Please staple all pages together. Homework will be collected Wednesdays and returned Mondays in class, organized by section. Please turn in your assignments to the appropriate lab section pile. These steps will help ensure efficient collection, grading, and return of assignments and help ensure that no assignments are lost. Lab Exercises: The Lab Manual contains exercises for most labs. Lab exercises are due at the start of the following week's lab. Graded exercises will be returned during the subsequent lab. As with the homework, your lowest lab score will be deleted before your lab grade is computed. Examination and Homework Grading and Regrading: Graded examinations and homework assignments will be returned in class as soon as possible. Any requests for re-grades should be submitted in writing within one week after the examination or homework is returned. Should you wish to request a regrade, submit your graded examination or homework with a written description of the issues to your GSI (homework) or instructor (examination) in class or using their mail boxes in M4024 SPH II. During any regrade, the entire paper is subject to regrade, so if other errors in grading are noted, they may also be corrected. Graduate Student Instructors: TBA Office Hours: Faculty and GSIs will hold office hours during the term according to the schedule below. Students from either course (501 or 521) and any lab section are welcome to attend any of the office hours, although there is some advantage to attending the office hours of your course instructor or a GSI for your class (501). Biostatistics 501/521 Office Hours: TBA

Biostatistics 501 Fall 2017 Class Schedule: Topics, Readings, and Homework Assignments (v 1.0, September 6, 2017) Schedule may be updated during semester based on progress in lecture (see Canvas web page).

Mike away October 9, 11, 18; Matt Zawistowski (M4025 SPH2, 734-615-9618, mattz@umich.edu) will teach.

Date Lecture and Lab Topics Read* Homework Problems* Due

W 9/6 Introduction; single-variable descriptive statistics 1.1-2 1.36, 38, 39 9/13

Lab Lab 1: Variable types and graphical data exploration

M 9/11 Single-variable descriptive statistics 1.3 1.65, 66, 88, 89 9/20

W 9/13 Density curves and the normal distributions 1.4 1.118, 134, 136 9/20

Lab Lab 2: Desc stats and freqs, scatterplots and correlation

M 9/18 Descriptive statistics: pairs of variables 2.1-4 2.24, 32, 33, 50, 51 9/27

W 9/20 Descriptive statistics: pairs of variables (continued) 2.4-7 2.68, 70, 87, 91, 96, 125 9/27

Lab Lab 3: Sampling and probability distributions

M 9/25 Probability: randomness, probability models 3.1-2 3.25, 26, 28, 35, 41 10/4

W 9/27 Probability: random variables, means and variances 3.3-4 3.52, 59, 62, 75, 78 10/4

Lab Lab 4: Probability work session

M 10/2 Probability: probability rules 3.5 3.102, 112, 109, 120, 123 10/11

W 10/4 Sampling distributions: sample mean 4.1-2 4.18, 19, 25, 26, 35, 40 10/11

Lab Lab 5: Sampling distribution of the sample mean & CLT

M 10/9 Sampling distributions: counts and proportions 4.3 4.52, 53, 59, 60, 70, 77 10/25

W 10/11 Introduction to inference: confidence intervals, tests 5.1-2 5.19, 20, 52, 57, 65, 74 10/25

Lab Review session for examination 1

M 10/16 STUDY BREAK: NO CLASS --

W 10/18 EXAMINATION 1 (chapters 1-3) --

Lab Lab 6: Illustrating confidence intervals for population mean

M 10/23 Introduction to inference: tests and power 5.3-4 5.93, 96, 111, 112, 113, 138, 139 11/1

W 10/25 Inference for a mean 6.1 6.14, 15, 20, 29, 34 11/1

Lab Lab 7: Inference for population means

M 10/30 Inference for two means 6.2-3 6.55, 56, 64, 65, 68, 71 11/8

W 11/1 Inference for a proportion 7.1 7.22, 25, 27, 42 11/8

Lab Lab 8+9: Inf for pop means II; Inf for means & proportions

M 11/6 Inference for two proportions 7.2 7.60, 63, 72, 76 11/22

W 11/8 Goodness of fit and analysis of two-way tables 8.2 8.34, 52, 55 11/22

Lab Review session for examination 2

M 11/13 Analysis of two-way tables 8.1 8.11, 12, 13, 16, 22, 47 11/22

W 11/15 EXAMINATION 2 (chapters 4-7) --

Lab Lab 10: Frequency tables and by group analysis

M 11/20 Simple linear regression 9.1 9.1, 2, 7, 8 11/29

W 11/22 Simple linear regression (continued) 9.2 9.31, 32, 58, 66 11/29

THANKSGIVING; NO LAB SESSIONS

M 11/27 Multiple linear regression 10.1 10.3, 4, 5ab, 6ab 12/6

W 11/29 Multiple linear regression (continued) 10.1-2 11.17, 23 12/6

Lab Lab 11: Simple and multiple linear regression

M 12/4 One-way analysis of variance (ANOVA) 11.1 11.2, 5, 10, 16, 18, 54abcd --

W 12/6 One-way ANOVA and course evaluations 11.1-2 11.20, 54e, 62 --

Lab Lab 12: One-way ANOVA

M 12/11 Class review; review session for examination 3

M 12/18 EXAMINATION 3 (chapters 8-11), 1:30-3:30 pm

Readings and homework problems are from Biostatistics 501/521 version of Moore, McCabe, Craig (2017) Introduction to the Practice of Statistics, 9th edition. Homework problems in bold are usually due Wednesday the week after they are assigned (“Due”); other problems are optional. Lab assignments are due at the next lab meeting.

*Book chapters for reading and homework assignments reflect the modified (for our class) paperback version of the textbook. If you have the standard hardcover version, add 1 to every chapter beginning with chapter 3.