Schedule 2021
qBio I
Tuesday, September 7th, 2021 – Thursday, October 14th, 2021
Tuesdays and Thursdays, 5:30 PM – 7:30 PM (except where noted)
Location: A-250, and Zoom
Course Directors:
- Jason Banfelder (jbanfelder@rockefeller.edu)
- Luce Skrabanek (las2017@med.cornell.edu)
Teaching Assistant:
- Noemi Linden (nll4001@med.cornell.edu)
Office Hours:
- Mondays, 5-6pm
This course will be fully graded: (Honors, High Pass, Low Pass, Fail)
Class Sessions and Lecture Notes
-
Quantifying a Sample Distribution | Code
Tuesday, 7 September, 2021
summary statistics, SD vs. SEM, measurement variation vs. biological variation -
Probability Density Functions and the Normal Distribution | Code
Thursday, 9 September, 2021
binomial, Poisson, and normal distributions, testing for normality: an introduction to formal statistical tests, qqplots vs. formal tests -
R Happy Hour (optional)
Friday, 10 September, 2021 [6-7pm] -
Confidence Intervals and Contingency Tables | Code
Tuesday, 14 September, 2021
t-tests, working with proportional data, why CIs are more informative than p-values, study types (retrospective, prospective, and cross sectional), working with rare events -
p-Values and Formal Statistical Testing | Code
Thursday, 16 September, 2021
duality between p-values and CIs, statistical vs. biological significance, choosing an appropriate α, type I and type II errors
Problem Set #1: Understanding Type I error rates
R Markdown | Rmd file | HTML file
Intro to R | Code -
Statistical Power and Experimental Design | Code
Tuesday, 21 September, 2021
(Zoom only!)
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 -
Multiple Hypothesis Testing and Non-parametric Tests | Code
Thursday, 23 September, 2021
from Bonferroni to False Discovery Rate, dealing with non-normal data, t-tests re-visited -
Group project: the optimal stopping problem | Code
Code quality | R style
Tuesday, 28 September, 2021 -
Bayesian Methods | Code
Lecture slides
(presented by Emi Linden)
Thursday, 30 September, 2021
how to incorporate prior knowledge into statistical models -
Correlation vs. Linear Regression | Code
Tuesday, 5 October, 2021
(note time: 6:15-7:45)
introduction to modeling in R; why is not the whole story -
Fitting Model Parameters to Data | Code
Thursday, 7 October, 2021
non-linear regression, a statistical view of curve fitting, confidence intervals revisited -
Quantitative Comparison of Models and ANOVA | Code
Tuesday, 12 October, 2021
how to avoid over-fitting, F-test and AICs, F-tests as a means of parameter estimation
Problem Set #3 -
Graphics with ggplot2 | Rmd file
ablation.csv
Data wrangling with tidyverse | Code
Thursday, 14 October, 2021