PSLS22

Practical Statistics for the Life Sciences

Timetable (provisional)
PSLS22 Practical Statistics for the Life Sciences
Mon, Mar 28th
Introduction to Statistics in the Life Sciences - Day #1
09:30 - 11:00 Introductions and expectations.
The role of statistics in empirical research.
11:00 - 11:30 Coffee Break
11:30 - 12:30 Basic concepts: population, sample, probability, random variables, distributions.
12:30 - 14:00 Lunch Break
14:00 - 16:00 Data exploration + descriptive statistics.
16:00 - 16:30 Tea Break
16:30 - 18:00 Important concepts in experimental design: control, blinding, randomisation, replication, confounding.
Summary and questions.
Tue, Mar 29th
Introduction to Statistical Inference - Day#2
09:30 - 11:00 Summary of Day 1. Wrap-up (what have we done so far?)
Distribution of sample mean, bias, precision, confidence intervals and central limit theorem.
11:00 - 11:30 Coffee Break
11:30 - 12:30 Introduction to hypothesis testing.
12:30 - 14:00 Lunch Break
14:00 - 16:00 Additional case studies.
16:00 - 16:30 Tea Break
16:30 - 18:00 Nonparametric Statistics + Additional case studies.
Wed, Mar 30th
Simple Linear Regression. Analysis of Variance. Nonparametric Statistics - Day#3
09:30 - 11:00 Summary of Day 2. Wrap-up (what have we done so far?)
One predictor, parameter estimation, statistical inference (confidence intervals, prediction intervals, hypothesis tests), dummy variables.
11:00 - 11:30 Coffee Break
11:30 - 12:30 Additional case studies.
12:30 - 14:00 Lunch Break
14:00 - 16:00 Analysis of Variance, F-test, anova table, R2, posthoc tests.
16:00 - 16:30 Tea Break
16:30 - 18:00 Nonparametric Statistics + Additional case studies.
Summary and questions.
Thu, Mar 31st
Multiple Regression - Day#4
09:30 - 11:00 Summary of Day 3. Wrap-up (what have we done so far?)
Multiple regression: additive model, model with interactions (two continuous covariates, continuous and factor variable, two factors).
11:00 - 11:30 Coffee Break
11:30 - 12:30 Additional case studies.
12:30 - 14:00 Lunch Break
14:00 - 16:00 Diagnostics + translate research hypothesis to linear combinations of model parameters (contrasts).
16:00 - 16:30 Tea Break
16:30 - 18:00 Multiple testing + Additional case studies.
Summary and questions.
Fri, Apr 1st
Concepts of Experimental Design; the importance of Sample Size; Blocking - Day#5
09:30 - 11:00 Summary of Day 4. Wrap-up (what have we done so far?)
Randomized complete block designs.
11:00 - 11:30 Coffee Break
11:30 - 12:30 Additional case studie; Blocking.
12:30 - 14:00 Lunch Break
14:00 - 16:00 Simulation based power analysis and sample size calculation.
16:00 - 16:30 Tea Break
16:30 - 18:00 Final wrap-up and Questions.
Course Homepage

Instituto Gulbenkian de Ciência,

Apartado 14, 2781-901 Oeiras, Portugal

GTPB Homepage

IGC Homepage

Last updated:   February 9th 2022