Schedule 2017
qBio I
Thursday, September 14th, 2017 – Tuesday, December 12th, 2017
Tuesdays and Thursdays, 5:30 PM – 7:00 PM
Location: C200 Weill Auditorium (or A250 as indicated)
1300 York Avenue; 2nd Floor, Room C200 (unless otherwise noted)
Midterm Exam: Thursday, November 2nd (5:30 pm – 7:00 pm) in Room C200
Course Directors:
 Jason Banfelder (jbanfelder@rockefeller.edu)
 Luce Skrabanek (las2017@med.cornell.edu)
Teaching Assistants (qbioI2017@gmail.com):
Office hours and locations:
 Shana Bergman
Mondays, 1011am, E511  Dylan McNally
Fridays, 910am, BRB 14th Floor conference room  Ambrose Plante
Tuesdays, 7:308:30pm, LC504 conference room  Andrew Schaumberg
Thursdays, 12pm, E511  Jazz Weisman
Wednesdays, 67pm, CRC 4th Floor large public table (RU)
We have also set up a Piazza forum.
This course will be fully graded: (Honors, High Pass, Low Pass, Fail)
Class Sessions and Lecture Notes

Quantifying a Sample Distribution part I (R code)
Thursday, September 14th, 2017
summary statistics, quantiles, SD vs. SEM 
Quantifying a Sample Distribution part II (R code)
Tuesday, September 19th, 2017
summary statistics, SD vs. SEM, measurement variation vs. biological variation 
Probability Density Functions and the Normal Distribution part I (R code)
Thursday, September 21th, 2017
binomial, Poisson, and normal distributions, testing for normality (part I): an introduction to formal statistical tests 
Probability Density Functions and the Normal Distribution part II (R code)
Tuesday, September 26th, 2017
testing for normality (part II): qqplots vs. formal tests 
TAled Swirl tutorials
Thursday, September 28th, 2017 
JeopRdy heats
MondayFriday, October 2nd6th, 2017
Will be held during TA sessions 
Practical R part I (Rmd code)
Tuesday, October 3rd, 2017
introduction to R, common data structures (vectors, factors, lists, dataframes), importing data 
Confidence Intervals and Contingency Tables (R code)
Thursday, October 5th, 2017
ttests, working with proportional data, why CIs are more informative than pvalues, study types (retrospective, prospective, and cross sectional), working with rare events 
Final JeopRdy
Tuesday, October 10th, 2017 
pValues and Formal Statistical Testing (R code)
Tuesday, October 17th, 2017
duality between pvalues and CIs, statistical vs. biological significance, choosing an appropriate α, type I and type II errors 
Practical R part II (R code  Problem Set)
Thursday, October 19th, 2017
common data structures continued (lists and dataframes) 
Statistical Power and Experimental Design (R code)
Tuesday, October 24th, 2017
why you cannot just add a few N to your dataset when p > 0.05, appreciating the economics (in time and money) of experimental design, statistical vs. biological significance revisited, designing experiments around hardtoobtain samples 
Multiple Hypothesis Testing and Nonparametric Tests (R code)
Thursday, October 26th, 2017
from Bonferroni to False Discovery Rate, dealing with nonnormal data, ttests revisited 
Extra TA office hours
Tuesday, October 31st, 2017 
Midterm Exam
Thursday, November 2nd, 2017 
Practical R: Optimal Stopping (R code)
Tuesday, November 7th, 2017
the role of simulation in statistics, nonparametric tests, exploring the optimal stopping problem 
Bayesian Methods (R code)
Thursday, November 9th, 2017
how to incorporate prior knowledge into statistical models 
Correlation vs. Linear Regression (R code)
Tuesday, November 14th, 2017
introduction to modeling in R; why is not the whole story 
Code quality
Thursday, November 16th, 2017
data transformation and data reduction methods 
Thanksgiving Break: No class
Week of November 21st, 2017 
Fitting Model Parameters to Data (R code)
Thursday, November 30th, 2017
nonlinear regression, a statistical view of curve fitting, confidence intervals revisited 
Quantitative Comparison of Models and ANOVA part I (R code  Problem Set)
Tuesday, December 5th, 2017
This lecture will be held in Room A250
how to avoid overfitting, Ftest and AICs, Ftests as a means of parameter estimation 
Quantitative Comparison of Models and ANOVA part II (R code)
Thursday, December 7th, 2017
how to avoid overfitting, Ftest and AICs, Ftests as a means of parameter estimation 
Principal Component Analysis (R code)  Intro to ggplot2
Tuesday, December 12th, 2017
publicationquality graphics withggplot