Tutorials in Advanced Statistics

IIDS67612 Tutorials in Advanced Statistics 15 Semester 2 Postgraduate Taught Level 7 Jamie Christopher Sergeant Unit coordinator 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 7.5 This module will provide the opportunity for students to aid their development as a Health Data Scientist by exploring the literature on advanced statistical topics.  The topics covered are highly relevant for advanced understanding and practice of health research and Health Data Science, for example, Machine learning in clinical prediction models, Meta-analysis and evidence synthesis, and Analysis of longitudinal data.  The module is delivered by academics who are active researchers in the areas that they are teaching on and students will be encouraged to access, read, appraise and discuss recently published research.  Running through all the topics will be the principles of good study design and sound statistical thinking. The unit aims to:<ul><li class="MsoNormal" style="border-style:none;mso-border-alt:solid windowtext .5pt;mso-padding-alt:1.0pt 6.0pt 1.0pt 4.0pt;padding:0cm;">Consolidate and build on the fundamental statistical content in Semester 1 modules</li><li class="MsoNormal" style="border-style:none;mso-border-alt:solid windowtext .5pt;mso-padding-alt:1.0pt 6.0pt 1.0pt 4.0pt;padding:0cm;">Explore advanced statistical topics</li><li class="MsoNormal" style="border-style:none;mso-border-alt:solid windowtext .5pt;mso-padding-alt:1.0pt 6.0pt 1.0pt 4.0pt;padding:0cm;">Foster statistical thinking</li><li class="MsoNormal" style="border-style:none;mso-border-alt:solid windowtext .5pt;mso-padding-alt:1.0pt 6.0pt 1.0pt 4.0pt;padding:0cm;">Enable students to engage with and critically appraise published research</li><li class="MsoNormal" style="border-style:none;mso-border-alt:solid windowtext .5pt;mso-padding-alt:1.0pt 6.0pt 1.0pt 4.0pt;padding:0cm;">Promote reasoned discussion and respectful debate</li><li class="MsoNormal" style="border-style:none;mso-border-alt:solid windowtext .5pt;mso-padding-alt:1.0pt 6.0pt 1.0pt 4.0pt;padding:0cm;">Develop group working and presentation skills</li></ul> The unit aims to:<ul><li class="MsoNormal" style="border-style:none;mso-border-alt:solid windowtext .5pt;mso-padding-alt:1.0pt 6.0pt 1.0pt 4.0pt;padding:0cm;">Consolidate and build on the fundamental statistical content in Semester 1 modules</li><li class="MsoNormal" style="border-style:none;mso-border-alt:solid windowtext .5pt;mso-padding-alt:1.0pt 6.0pt 1.0pt 4.0pt;padding:0cm;">Explore advanced statistical topics</li><li class="MsoNormal" style="border-style:none;mso-border-alt:solid windowtext .5pt;mso-padding-alt:1.0pt 6.0pt 1.0pt 4.0pt;padding:0cm;">Foster statistical thinking</li><li class="MsoNormal" style="border-style:none;mso-border-alt:solid windowtext .5pt;mso-padding-alt:1.0pt 6.0pt 1.0pt 4.0pt;padding:0cm;">Enable students to engage with and critically appraise published research</li><li class="MsoNormal" style="border-style:none;mso-border-alt:solid windowtext .5pt;mso-padding-alt:1.0pt 6.0pt 1.0pt 4.0pt;padding:0cm;">Promote reasoned discussion and respectful debate</li><li class="MsoNormal" style="border-style:none;mso-border-alt:solid windowtext .5pt;mso-padding-alt:1.0pt 6.0pt 1.0pt 4.0pt;padding:0cm;">Develop group working and presentation skills</li></ul> <ul><li style="margin-top:0cm;" type="disc">Describe and identify common statistical issues in health research</li><li style="margin-top:0cm;" type="disc">Explain key methodological ideas related to the substantive statistical topics covered</li></ul> <ul><li>Apply methodological understanding when designing research studies</li><li>Critically appraise research studies</li></ul> <ul><li>Access and extract relevant information from research publications</li><li>Apply reporting guidelines to research studies and use critical appraisal tools  </li></ul> <ul><li>Work collaboratively in a group</li><li>Consider a range of different viewpoints</li><li>Effectively communicate findings in presentations and written work  </li></ul> Group/team working Work collaboratively in a group Written communication communicate findings clearly in written reports and presentations This module promotes learning through engagement with the research literature on advanced statistical topics.  The twice-weekly face-to-face sessions will be used to introduce substantive topics, highlight specific areas of the literature and explore the background to important research questions.  However, the key focus of these face-to-face sessions will be to facilitate discussion and debate on current statistical research questions, as well as to scaffold literature-based individual or group tasks and, subsequently, to allow students to deliver their findings, for example via group presentations.  The aim is for students to feel equipped to actively participate in ongoing statistical debates and to be able to understand and probe different views in current areas of methodological controversy.  To encourage participation from all students, and in particular to allow non-verbal participation in discussions, electronic tools such as Google Jamboard will be available.  Wherever possible, sessions will be captured and made available to watch online.  Online tutor support will be available via blackboard and email.  Office hours with course leaders (face-to-face and/or online) will also help ensure the availability of academic staff for student support.   0 Other 100%  <figure class="table"><table><thead><tr><th>Assessment task</th><th>Length</th><th>How and when feedback is provided</th><th>Weighting within unit (if relevant)</th></tr></thead><tbody><tr><td>Summative1 × individual coursework assignment with written reportThe assignment will involve engagement with the research literature. For example, it could include performing a critical appraisal of and/or a risk of bias assessment on a published article.  It is envisaged that there will be one question/task in the assignment related to each of three substantive topics in the module.  </td><td>Approx., 3000-4500 words</td><td>Scores and written feedback will be made to students after marking </td><td>100%</td></tr><tr><td>Formative  <span style="font-family:"Microsoft Sans Serif",sans-serif;font-size:11.0pt;layout-grid-mode:line;mso-ansi-language:EN-GB;mso-bidi-font-size:10.0pt;mso-bidi-language:AR-SA;mso-fareast-font-family:"Times New Roman";mso-fareast-language:EN-US;">Formative feedback will primarily be provided in the face-to-face sessions.<span style="font-family:"Microsoft Sans Serif",sans-serif;font-size:11.0pt;layout-grid-mode:line;mso-ansi-language:EN-GB;mso-bidi-font-size:10.0pt;mso-bidi-language:AR-SA;mso-fareast-font-family:"Times New Roman";mso-fareast-language:EN-US;mso-spacerun:yes;">  <span style="font-family:"Microsoft Sans Serif",sans-serif;font-size:11.0pt;layout-grid-mode:line;mso-ansi-language:EN-GB;mso-bidi-font-size:10.0pt;mso-bidi-language:AR-SA;mso-fareast-font-family:"Times New Roman";mso-fareast-language:EN-US;">Verbal feedback will be provided as part of facilitation of discussions and debates.<span style="font-family:"Microsoft Sans Serif",sans-serif;font-size:11.0pt;layout-grid-mode:line;mso-ansi-language:EN-GB;mso-bidi-font-size:10.0pt;mso-bidi-language:AR-SA;mso-fareast-font-family:"Times New Roman";mso-fareast-language:EN-US;mso-spacerun:yes;">  <span style="font-family:"Microsoft Sans Serif",sans-serif;font-size:11.0pt;layout-grid-mode:line;mso-ansi-language:EN-GB;mso-bidi-font-size:10.0pt;mso-bidi-language:AR-SA;mso-fareast-font-family:"Times New Roman";mso-fareast-language:EN-US;">Feedback on student group presentations will include elements of both tutor feedback and peer feedback.  </td><td>NA</td><td><span style="font-family:"Microsoft Sans Serif",sans-serif;font-size:11.0pt;mso-ansi-language:EN-GB;mso-bidi-font-size:10.0pt;mso-bidi-language:AR-SA;mso-fareast-font-family:"Times New Roman";mso-fareast-language:EN-US;">During face-to-face sessions, verbally and via written comments (e.g. on Jamboard)</td><td>NA</td></tr></tbody></table></figure> <span style="-webkit-text-stroke-width:0px;font-family:"Microsoft Sans Serif", sans-serif;font-size:11pt;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;">Formative feedback will primarily be provided in the face-to-face sessions.  Verbal feedback will be provided as part of facilitation of discussions and debates.  Feedback on student group presentations will include elements of both tutor feedback and peer feedback MSc Health Data Science PT MSc Health Data Science PGDT Taught Component Optional PG Dip Health Data Science PT PG Diploma Health Data Science PGDT Taught Component Optional PG Cert Health Data Science PT PGCert Health Data Sci (18) PGDT Taught Component Optional Health Data Science - CPD Health Data Science - CPD PGDT Taught Component Optional MSc Health Data Science FT MSc Health Data Science FT PGDT Taught Component Optional PG Dip Health Data Science FT PG Dip Health Data Science FT PGDT Taught Component Optional PG Cert Health Data Science FT PG Cert Health Data Science FT PGDT Taught Component Optional N Lectures 4 Practical classes & workshops 30 0 116