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PSLS22
Practical Statistics for the Life SciencesTimetable (provisional) |
| PSLS22 | Practical Statistics for the Life Sciences |
| Mon, Mar 28th |
Introduction to Statistics in the Life Sciences - Day #1
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| 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
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| 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
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| 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
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| 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
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| 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 |
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Instituto Gulbenkian de Ciência, Apartado 14, 2781-901 Oeiras, Portugal Last updated: February 9th 2022 |