### CURRENT COURSES

##### Introduction to Biotechnology and Drug Development

**Contact**: mwalker at stanfordalumni.org

Sharon Walker

**Biotechnology Demystified**

McGraw-Hill, First edition – ISBN-10: 0-07-144812-8

William Stansfield

**Schaum’s Outline of Molecular and Cell Biology**

McGraw-Hill, First edition (September 1, 1996) – ISBN-10: 0070608989

**Chapters:** Stansfield 1-5 / Walker 1-3

**Files: **

Molecules of Life (PDF)

National Center for Biotechnology Information NCBI

Consumer health information from NLM

**Chapters:** Stansfield 8-9 / Walker 7

**Chapters:**

Stansfield 6, 10, 13 / Walker 4 – 6

##### How To Save Your Aging Brain!

**Contact**: mwalker at stanfordalumni.org

There is no text for the course, but my own book on the subject is available:

How To Save Your Aging Brain

Food choices and your aging brain.pdf

Future treatments for brain aging.pdf

Hormones stress and your aging brain.pdf

##### Statistical Inference and Experimental Design

##### Michael G. Walker Ph.D

Instructor

##### Kristopher Standish

Teaching Assistant

**Office Hours:**

after class and also by appointment

**Contact:**

mwalker at stanfordalumni.org

**10 wks:** Wednesday 2 April – Friday 6 June

**Wednesday and Friday:** 1:30 to 3:30

The homework, project, quiz, and final exam must all be completed to receive a grade.

**Homework** (6 assignments worth 5 points each) : 30 points

**Factorial Design of Experiment Project** : 10 points

**Quiz** : 20 points

**Final Exam** : 40 points

biom285 supplementary-additional.zip

##### Lectures

1.0.1 How to install R for Mac.docx

1.0.2 How to install R for Windows.docx

1.0.3 R packages to install.txt

1.1 Data manipulation in R.docx

2.0 Descriptive statistics.docx

2.1 Normal distribution Z scores.docx

2.2 Descriptive statistics in R.docx

2.3 Probability – What is a p-value.docx

3.2 Power and sample size.docx

3.3.1 ANOVA for one factor.docx

3.3.2 ANOVA for two or more factors.docx

3.3.3 ANOVA for one factor R code.txt

3.3.4 ANOVA two-way R code.txt

3.4 Wilcoxon and Kruskal Wallis alternatives to t-tests and Anova.docx

3.5 Wilcoxon and Kruskal Wallis R code.docx

4.1 Simple Linear Regression.docx

4.1 Simple Linear Regression R code.docx

5.0 Multiple regression with R code.xlsx

5.0 Multiple regression graphs.docx

6.1 Factorial experiment design.pdf

6.2 Factorial experiment design example.pdf

6.3 Design of Experiments in R.docx

6.4 Two-level Factorial Designs.docx

6.5 Fractional Factorial Designs.docx

6.6 Response surface designs.doc

##### Homework

Homework 1. Data manipulation and graphs in R.txt

Homework 2. Descriptive Statistics.txt

Homework 3. T-tests and power.txt

Homework 4. ANOVA and rank methods.txt

Homework 5. Correlation and linear regression.txt

Homework 6. Multiple regression and factorial design.txt

##### Data

##### Supplementary Material

Chi square and Fisher exact test.docx

Coding for regression with categorical variables.xlsx

Confidence interval for the mean.docx

Logistic regression R code.doc

Principal Components Analysis using R.docx

Using R for Introductory Statistics Verzani.pdf

##### Additional Supplementary Material

Agresti Categorical Data Analysis R code.pdf

Assay variability – F statistic to compare two variances.docx

Bootstrap sampling to solve statistics problems.docx

Genomic Health NEJM Presentation Clear.pdf

Paired data McNemars test Conditional logistic regression.doc

ROC sensitivity specificity tutorial.pdf