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COURSE FULL This course is scheduled once each term.

COURSE AIM

Experimental biologists often need to compare the outcome of multiple treatments when data is collected over multiple doses or time points. Consider the experimental data shown in Fig 1 (see PDF). How do we determine if the two dose-response curves in Fig. 1A or the two time-course curves in Fig. 1B are statistically different? A common approach is to repeat the measurement multiple times at a single dose or time point and perform a relevant statistical test (e.g. a t-test). A drawback of this procedure is that it masks effects that may only be apparent at different doses or time points. These effects, that are dose or time-dependent, often provide useful mechanistic insights. In this tutorial, we explain how to statistically compare multiple treatment curves directly, without the need for repeated measurements, and highlight the utility of the procedure in revealing mechanistic insights. No prior knowledge of mathematical modelling or statistics will be assumed and discussion will be restricted to tools available in Graphpad Prism. Participants are encouraged to bring their own data, which they can analyse with assistance in the last section of the course.

 

COURSE CONTENT

The course contains four sections:

1. Examples of biological data where model fitting is useful.

2. How to fit biological data to models (including how to assess the quality of a fit, the effects of noise, and the effects of incomplete data).

3. How to compare two data sets using model fitting.

4. Case studies and analysis of your own data.

Sections 1-3 (above) will begin with a lecture followed by a live demonstration in Prism. Participants will then use Prism to carry out exercises themselves. In the last section, participants will analyse three case studies and/or their own data. Instructors will be available throughout the workshop for assistance.

 

COURSE LENGTH

The total course length is 2 hours (3 sections that include a 15 minute lecture & 15 minute practical plus 30 minutes of case study analysis). The tutor also offers a tutorial style period at the end of the session for students to obtain personal help.

 

PARTICIPANT NUMBERS

Maximum 40     

 

Booking Instructions

Please read the updated instructions before booking. 

Terms and Conditions

Please read the Terms and Conditions for course booking and attendance. These have been updated for Trinity Term 2019.

*** NEW COURSES ***

Micro-Internship Programme for Research Staff - second round for applications opens Tuesday 23 April

'Academic English' courses available at the Oxford University Language Centre to help international students and staff improve their academic communication.

Limited spaces available for non-RDM MSD research staff on the RDM Learning and Development programme

iSkills for the Medical Sciences Division: Introduction to Mendeley (run by Bodleian iSkills) - book now for places during April-July.

Mixing it up mixed research methods course at the Department for Continuing Education (free for Oxford DPhil students) - 23 April to 11 June

Three Minute Thesis Competition launched, deadline 25 May 

Writing a medical conference abstract 11 June

How and why to undertake a systematic review 21 June 

Forthcoming events

Scientific Computing in MATLAB

Research Skills

Wednesday, 08 May 2019 to Wednesday, 19 June 2019, 9am - 5pm

This course is scheduled in Trinity term.

Poster production

Research Skills

Thursday, 09 May 2019, 9.30am to 12.30pm

PLEASE NOTE: This course is run by IT Services Learning Centre (ITLC). The 'Apply for this course' button will take you to the ITLC booking process. This course is scheduled to run in Hilary and Trinity terms.

Preparing for Learning and Teaching at Oxford

Teaching Skills

Monday, 13 May 2019, 10am to 4.30pm

This course is scheduled each term.

X-Ray Crystallography

Research Skills

Monday, 13 May 2019, 10am to 4.30pm

This course is scheduled only in Trinity term.

Writing and publishing research papers

Communication Skills Research Skills

Tuesday, 14 May 2019, 9.30am to 4.30pm

This course is scheduled in all three terms.

Experimental Design: the Good, the Bad and the Ugly

Research Skills

Wednesday, 15 May 2019, 9am to 5pm

This course is scheduled each term.