NIHR statistics group, laboratory studies working group training workshop: Basics of Linear Regression and Agreement Statistics
10.00-10.45: Jingky Lozano-Kuehne: Linear regression (Principles, Assumptions, Conduct, Simple vs Multivariable)
10.45-11:00: Coffee break
11.00-11.45: Jeremie Nsengimana: Agreement statistics (Deming, Passing Bablock, Bland-Altman)
Laboratory studies
Experimental laboratory studies are vital to the translational research pathway. Many scientists have limited access to statistical support and the partnership required between statisticians and scientists to undertake high quality research is often lacking.
As a group we want to build communication between scientists and statisticians. We are currently developing a discussion framework (RIPOSTE) which aims to facilitate discussion between the two disciplines at the design of a study.
The term ‘laboratory studies’ is imprecise and covers a disparate range of studies. We aim to refine what we mean by the term ‘laboratory studies’.
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Basic concepts in statistics (choosing tests, p-values and displaying data)
Accessing and analysing high-throughput genomic data from public repositories
We are pleased to let you know of a webinar to be held at 9.30am on the 25th February 2022 on the topic, Accessing and analysing high-throughput genomic data from public repositories. We have three talks planned
9.30 –10.10 FAIR principles and promoting openness in life sciences (Mallory Freeberg, European Bioinformatics Institute)
- FAIR data and metadata standards
- Resources for sharing life science data
- Best practices for submitting FAIR data
- Next-level FAIR: sharing code, software, workflows
- Case study: Sharing sensitive human genomics data at the European Genome-phenome Archive
10.10–10.50 Utilising publicly available multi-omics data for discovery and validation analyses: tips and case studies (Kevin Litchfield, University College London)
- What datasets are out there
- How to get them
- How to analyse them: illustration with individual patient data cancer meta-analysis
10.50– 11:00- break
11.00–11.30: Dealing with clinical meta-data (Jérémie Nsengimana, Newcastle University)
- What is clinical metadata
- Why clinical metadata is a rare commodity
- Why good metadata is even rarer
- Use and misuse of publicly accessible metadata: illustration with TCGA dataset
11.30–12:00 breakout rooms
12:00. EndWhat is clinical metadataWhy clinical metadata is a rare commodityWhy good metadata is even rarerFAIR data and metadata standards
Design and analysis of quantitative PCR experiments for laboratory scientists and statisticians
Friday 3rd September 10am to 12pm
Recording of event – please click here
The aim of the NIHR Laboratory Statistics Group is to bring together NIHR Statistician and Laboratory Scientists to ensure the best methods are used. We are embarking on a series of workshops to help bridge the divide. The first session looks at the use of quantitative PCR from the laboratory and analysis perspective.
Laboratory Scientists and Statisticians are welcome.
Abstract
This workshop will cover the design and analysis of quantitative PCR (qPCR) experiments, aimed both at lab researchers and statisticians. This will include:
- Introduction to qPCR and its uses.
- qPCR chemistry and how it can be used for quantification.
- Experimental setup, reference genes and controls.
- Calculation of relative expression – ddCT values and fold differences.
- Analysis considerations for relative expression – scale, normality assumptions and tests.
- Graphical representation of qPCR results.
- Statistical considerations for the design of robust qPCR experiments – units of analysis and sample size calculations.
Register in advance for this meeting:
https://bham-ac-uk.zoom.us/meeting/register/tZcscOqrqjItGNPQgLxfjv32eY0PCEpaG1z0
After registering, you will receive a confirmation email containing information about joining the meeting.