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PRIMSTAT  October 2022

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Subject:

SHORT COURSES this November by Statistical Advisory Service, Imperial College London

From:

Krupa Shukla <[log in to unmask]>

Reply-To:

Medical Statisticians interested in primary care <[log in to unmask]>

Date:

Thu, 20 Oct 2022 16:07:41 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (59 lines)

------------------------------------------ ----Apologies for cross-posting---- ------------------------------------------

Courses in ****STATA, SPSS and R**** by Statistical Advisory Service, Imperial College London  

The courses are approved for CPD credits by The Royal College of Physicians.

Register using the links below or Contact [log in to unmask] for alternative payment options.

-------------------------------------------------------------------

**Introduction to Statistics using STATA** - Tuesday 8 November 2022
<https://www.imperial.ac.uk/research-and-innovation/support-for-staff/stats-advice-service/courses/stata-courses/intro-to-stata/>
A one day practical PC-based workshop, firstly familiarising participants with STATA, and progressing from data entry and presentation to 1 and 2 sample tests, one-way ANOVA and simple regression.

*****************************************

**Data Management and Statistical Analysis using SPSS** – Tuesday 15 and Wednesday 16 November 2022
<https://www.imperial.ac.uk/research-and-innovation/support-for-staff/stats-advice-service/courses/spss-courses/data-spss/>
A little or no knowledge of SPSS and Statistics is required to attend this course. This is a *two-days* practical PC-based course which will go through basic statistical methods with further emphasis on data management.

**On-Line Course For Introductory Statistics Using SPSS** - VLE Course with ONE MONTH FULL ACCESS.
<https://www.imperial.ac.uk/research-and-innovation/support-for-staff/stats-advice-service/courses/spss-courses/on-line-spss/>
Based on one-day *Introduction to Statistics using SPSS* and two-days *Data Management and Statistical Analysis using SPSS* courses, this VLE course will give one-month unlimited access to all materials plus Tutor support. The guided walkthroughs explain how certain tasks can be done in the SPSS software while going through the theory. 


**Statistical Modelling using SPSS** – Tuesday 22 and Wednesday 23 November 2022
<https://www.imperial.ac.uk/research-and-innovation/support-for-staff/stats-advice-service/courses/spss-courses/stat-mod-spss/>
A *two-days* practical PC-based workshop, following on from the introduction, presenting more advanced statistical techniques such as ANOVA, ANCOVA, Multiple Regression, Logistic Regression, ROC Curves and Survival analysis.

*****************************************

**Foundations in R** - Tuesday 15 & Wednesday 16 November 2022
<https://www.imperial.ac.uk/research-and-innovation/support-for-staff/stats-advice-service/courses/r-courses/foundations-in-r/>
Not related to any specific area of research, this is a practical command based course introducing basics of R required for data manipulation and programming techniques. No experience or previous knowledge of R is required to attend this course.

**Introduction to Programming using R** – Wednesday 23 November 2022
<https://www.imperial.ac.uk/research-and-innovation/support-for-staff/stats-advice-service/courses/r-courses/r-prog/>
This is a practical PC-based course, on how to build a program from scratch using R: issues to be considered before writing a code and basic steps a programmer should follow to successfully find a solution. Some familiarity with R is required to attend this course.

-------------------------------------------------------------------

Statistical Advisory Service, Imperial College London provides statistical advice via one-to-one consultations. https://www.imperial.ac.uk/research-and-innovation/support-for-staff/stats-advice-service/consult/

For a full list of upcoming courses, visit us on : https://www.imperial.ac.uk/research-and-innovation/support-for-staff/stats-advice-service/courses/upcoming-courses/


Statistical Advisory Service Team
Imperial College London
Web: https://www.imperial.ac.uk/research-and-innovation/support-for-staff/stats-advice-service/
Email: [log in to unmask]
Linkedin: https://www.linkedin.com/showcase/statistical-advisory-service-imperial-college-london

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