Prior attendance of the Multiple Imputation for Missing Data short course (or equivalent introductory course to missing data concepts and multiple imputation) or be familiar with the concept of multiple imputation, and have used it in practice. Also, familiarity with standard regression methods for continuous and binary outcomes beyond a basic level.

You must have Stata* (version 13 or later) or R** (version 4.0.3 or later) installed in advance of the course.

You must be familiar with either R or Stata. Those using Stata* must have this installed in advance of the course.

*Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). 

Applicants must have knowledge and experience of a variety of linear and logistic regression models and their implementation in Stata, to beyond the level achieved in the Introduction to Linear and Logistic Regression Models course.

Familiarity with survival analysis is recommended.

You must have either Stata* (version 14, 15, 16, 17 or 18) or R installed in advance of the course. We recommend running this through RStudio Desktop or Posit Cloud**.

*Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). 

**A link to create an account and access Posit Cloud will be provided.

Knowledge of cost-effectiveness analysis, specifically on decision trees and Markov models, will be assumed (to the level of the Introduction to Economic Evaluation short course).

Experience with R is essential (to the level of the Introduction to R short course) but we will review the necessary aspects of R through pre-reads and on the first day.

Participants should be familiar with using Stata statistical software and implementing survival analyses within Stata (code for practicals will also be made available in R).

You must have Stata* or R installed in advance of the course.

*Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). 

You must have Stata (version 15 or later)* installed in advance of the course.

*Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). 

This course is intended for clinicians, researchers, public health specialists and other health care professionals who have only a basic understanding of epidemiology. Prior knowledge of basic medical statistics so that you understand findings published in peer-reviewed medical journals is important.

You must have Stata (version 15 or higher)* installed in advance of the course.

*Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). 

The course includes a session on qualitative software management using Nvivo software as an example. Nvivo access is not required for the session but is recommended in order to engage with the self-guided workbook.

You must have Stata* (version 13 or later) or R** (version 4.0.3 or later) installed in advance of the course. 

Participants will need a computer and internet connection capable of video conferencing whilst running Stata (datasets used in the course are all small). You must have Stata (version 12 or later)* installed in advance of the course.

*Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). 

You must have Stata (version 14 or later)* installed in advance of the course. Please note that older versions may be OK, but you should recognise that older versions may have slightly different functionalities.

*Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). 

A copy of the course manual will be emailed to you in advance of the course. To facilitate practical sessions we recommend that you either print the course manual yourself, have it open on another device (like a tablet or phone), or split your screen between the manual, your own version of Stata and the Stata the tutor is sharing in Blackboard.

If available, a second screen would be ideal for splitting your screen between these different programs.

Please will students ensure they have access to statistics software before the start of the course.

Full support will be given for the use of Stata* in the practical sessions. Students are welcome to use a different package (e.g. R, SAS, SPSS) if they are confident in its use, but we cannot guarantee we will be able to help if difficulties with the software are encountered.

*Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). 

Participants should have knowledge of statistical methods to the level of our Introduction to Statistics course. A basic appreciation of research designs (to the level of our Introduction to Epidemiology course) would be helpful.

Practical sessions will include implementation of meta-analysis methods in computer software, and basic knowledge of R or Stata would be helpful for this. Students will have the choice whether to undertake the practicals using (i) R as installed on their computer, (ii) R using Posit Cloud (Rstudio project), or (iii) Stata.

Participants must either (i) have access to a computer on which R (and Rstudio) is pre-installed, (ii) a Posit Cloud account (previously called RStudio Cloud) or (iii) a computer on which Stata* is pre-installed (version 15 or later).

*Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). 

Participants who would like to use Stata need to have installed Stata version 17* (or later) in advance of the course.

Those who would like to use R** (latest version) need to have this downloaded onto their computer.

The operating system can be either Windows or Mac and participants should consider having a fast internet speed for synchronous/live sessions and for downloading data and scripts.

*Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). 

**Go to R Installation Instructions for help getting set up.

You will be offered the choice to complete practicals in either Stata* or R**.

*If opting for Stata: You will need to install Stata (version 13 or later) on your computer prior to attending the course. Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). 

**If opting for R: You can use your own desktop version of R or we will provide a link to Posit Cloud, an interface for R. Go to R Installation Instructions for further information.

It would be advantageous if course attendees have some knowledge and understanding of randomised controlled trials (RCTs). The course does not go into detail about the design/conduct of RCTs, and therefore individuals unfamiliar with this study design may consider first attending the Designing and Conducting Pragmatic Randomised Controlled Trials short course. Experience of having worked on an RCT would be particularly beneficial, although not essential.

You must have Stata* (version 14, 15, 16 ,17 or 18) installed in advance of the course.

*Internal University of Bristol participants are given access to Stata. Go to Stata Installation Instructions (internal only) for help setting it up before the start of the course. 

External participants are responsible for providing their own access to Stata, however if you are an employee of a university or another institution you may be able to get a short term free Evaluate license. If you are a student, Stata offer a short term free Student licence (one week). 

Candidates must have completed a piece of work and be ready to write it up.

This course is only suitable for researchers who have already completed or are well underway with their qualitative data collection and analysis. If you are not yet at that stage please consider booking onto a later course.

In advance of the course please identify one or two published articles that you think are good examples of the kinds of qualitative writing that you aspire to.