PSLS22
Practical Statistics for the Life SciencesTimetable (provisional) 
PSLS22  Practical Statistics for the Life Sciences 
Mon, Mar 28^{th} 
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 29^{th} 
Introduction to Statistical Inference  Day#2

09:30  11:00 
Summary of Day 1. Wrapup (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 30^{th} 
Simple Linear Regression. Analysis of Variance. Nonparametric Statistics  Day#3

09:30  11:00 
Summary of Day 2. Wrapup (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, Ftest, 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 31^{st} 
Multiple Regression  Day#4

09:30  11:00 
Summary of Day 3. Wrapup (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 1^{st} 
Concepts of Experimental Design; the importance of Sample Size; Blocking  Day#5

09:30  11:00 
Summary of Day 4. Wrapup (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 wrapup and Questions. 
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Instituto Gulbenkian de Ciência, Apartado 14, 2781901 Oeiras, Portugal Last updated: February 9^{th} 2022 