Schedule 2019
qBio I
Tuesday, September 3rd, 2019 – Thursday, December 12th, 2019
Tuesdays and Thursdays, 5:30 PM – 7:00 PM
Location: C200 Weill Auditorium
1300 York Avenue; 2nd Floor, Room C200 (unless otherwise noted)
Midterm Exam: Thursday, October 31st, 2019 (5:30 pm – 7:30 pm) in Room C200
Course Directors:
 Jason Banfelder (jbanfelder@rockefeller.edu)
 Luce Skrabanek (las2017@med.cornell.edu)
Teaching Assistants (qbio2019@zoho.com):
 Scott Kulm
 Sofia Avritzer
 Josue Barnes
 Cerise Tang
Office hours (11am12pm):
 Nov 1  BB 216
 Nov 8  BB 216
 Nov 15  BB 216
 Nov 22  BB 216
 Dec 6  BB 216
 Dec 13  E511
This course will be fully graded: (Honors, High Pass, Low Pass, Fail)
Class Sessions and Lecture Notes

Introduction to R part I  R code
Tuesday, September 3rd, 2019 
Introduction to R part II  R code
Thursday, September 5th, 2019
(Note: class starts at 6pm) 
Introduction to R part III  R code
Tuesday, September 10th, 2019 
Introduction to R part IV  R code
ablation.xlsx  ablation.csv
Thursday, September 12th, 2019 
Quantifying a Sample Distribution  R code
Tuesday, September 17th, 2019
summary statistics, SD vs. SEM, measurement variation vs. biological variation 
R Markdown  Rmd file  HTML file
Thursday, September 19th, 2019 
Probability Density Functions and the Normal Distribution  R code
Tuesday, September 24th, 2019
binomial, Poisson, and normal distributions, testing for normality: an introduction to formal statistical tests, qqplots vs. formal tests 
Group sessions
Thursday, September 26th, 2019 
Confidence Intervals and Contingency Tables  R code
Tuesday, October 1st, 2019
ttests, working with proportional data, why CIs are more informative than pvalues, study types (retrospective, prospective, and cross sectional), working with rare events 
Code Quality  R Styles Evolution
Thursday, October 3rd, 2019 
pValues and Formal Statistical Testing  R code
Tuesday, October 8th, 2019
(Note: class starts at 6pm)
duality between pvalues and CIs, statistical vs. biological significance, choosing an appropriate α, type I and type II errors 
Problem Set #1: Understanding Type I error rates  Group sessions
Thursday, October 10th, 2019 
Statistical Power and Experimental Design  R code
Tuesday, October 15th, 2019
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 
Group sessions
Thursday, October 17th, 2019 
Multiple Hypothesis Testing and Nonparametric Tests  R code
Tuesday, October 22nd, 2019
from Bonferroni to False Discovery Rate, dealing with nonnormal data, ttests revisited 
Group sessions
Thursday, October 24th, 2019 
Problem Set #2: the optimal stopping problem  R code
Tuesday, October 29th, 2019 
Midterm Exam Review (led by TAs)
Wednesday, October 30th, 2019
(Note: held from 68pm, in B210B212) 
Midterm Exam
Thursday, October 31st, 2019 
Bayesian Methods  R code
Tuesday, November 5th, 2019
how to incorporate prior knowledge into statistical models 
Correlation vs. Linear Regression  R code
Tuesday, November 12th, 2019
introduction to modeling in R; why is not the whole story 
Fitting Model Parameters to Data  R code
Thursday, November 14th, 2019
nonlinear regression, a statistical view of curve fitting, confidence intervals revisited 
No class
Tuesday, November 19th, 2019
Joshua Lederberg – John von Neumann Symposium: Towards Quantitative Biology 
Group sessions
Thursday, November 21st, 2019 
Thanksgiving Break: No class
Week of November 25th, 2019 
Quantitative Comparison of Models and ANOVA  R code  Problem Set #3
Tuesday, December 3rd, 2019
how to avoid overfitting, Ftest and AICs, Ftests as a means of parameter estimation 
Midterm review
Thursday, December 5th, 2019 
Principal Component Analysis  R code
Thursday, December 10th, 2019
data transformation and data reduction methods 
Graphics with ggplot2
Thursday, December 12th, 2019