Schedule
Tuesday, September 1st, 2015 – Thursday, October 29th, 2015
Tuesdays and Thursdays, 5:00 PM – 6:30 PM
Location: Weill Auditorium
1300 York Avenue; 2nd Floor, Room C-200
Final Exam: Thursday, October 29th (5:00 pm – 6:30 pm)
Course Director: Jason Banfelder (jrb2004@med.cornell.edu)
Teaching Assistants: (qbio1.2015.ta@gmail.com)
Michael LeVine, Anfei Li, Asaf Poran, Mojdeh Shakiba, Yan Zhang
This course will be fully graded: (Honors, High Pass, Low Pass, Fail)
Class Sessions
-
Quantifying a Sample Distribution
Tuesday, September 1st, 2015
summary statistics, quantiles, SD vs. SEM, measurement variation vs. biological variation -
Probability Density Functions and the Normal Distribution
Thursday, September 3rd, 2015
binomial, Poisson, and normal distributions, testing for normality (part I): an intro- duction to formal statistical tests, testing for normality (part II): qqplots vs. formal tests -
Practical R (part I)
Tuesday, September 8th, 2015
introduction to R, common data structures (vectors, factors, lists, dataframes), importing data -
Confidence Intervals and Contingency Tables
Thursday, September 10th, 2015
t-tests, working with proportional data, why CIs are more informative that p-values, study types (retrospective, prospective, and cross sectional), working with rare events -
p-Values and Formal Statistical Testing
Tuesday, September 15th, 2015
duality between p-values and CIs, statistical vs. biological significance, choosing an appropriate α, type I and type II errors -
Practical R (part II)
Thursday, September 17th, 2015
libraries andggplot
, producing publication quality plots, data driven graphics -
Statistical Power and Experimental Design
Tuesday, September 22nd, 2015
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 hard-to-obtain samples -
Practical R (part III)
Thursday, September 24th, 2015
control structures and programming, the role of simulation in statistics -
Multiple Hypothesis Testing and Non-Parametric Tests
Tuesday, September 29th, 2015
from Bonferroni to False Discovery Rate, dealing with non-normal data -
Bayesian Methods
Thursday, October 1st, 2015 -
Correlation vs. Linear Regression
Tuesday, October 6th, 2015
introduction to modeling in R; why is not the whole story -
Fitting Model Parameters to Data
Thursday, October 8th, 2015
non-linear regression, a statistical view of curve fitting, confidence intervals revisited -
Practical R (part IV)
Tuesday, October 13th, 2015
data wrangling withmelt
,dcast
, andplyr
-
Quantitative Comparison of Models
Thursday, October 15th, 2015
how to avoid over-fitting, F-test and AICs, F-tests as a means of parameter estimation -
Final Exam
Thursday, October 29th, 2015