Module Guide 2016/17: Statistics for the Oncologist

Transcription

1 MSc Oncology Including PG Certificate and PG Diploma Part A: Basic Sciences Module Guide 2016/17: Statistics for the Oncologist

2 Contents 1. Module Details 3 2. Joint Module Leaders and Course Administration 4 3. Lecturers 5 4. Aims & Learning Outcomes 6 5. Indicative Syllabus Content 7 6. Timetable 9 7. Assessment Learning Resources 13 Statistics for the Oncologist - Module Guide 2016/17 Page 2 of 14

3 1 Full Module details Title: Statistics for the Oncologist Part of Course: Part A: Basic Sciences Compulsory or optional: Compulsory ICR Reference Number: MS1002 Academic Level: Level 7 (Masters) Credit Value: 10 Credits Statistics for the Oncologist - Module Guide 2016/17 Page 3 of 14

4 2 Name Module leaders and course administration Post Affiliation Mr James Morden Medical Statistician The Institute of Cancer Research Mrs Jo Haviland Staff Scientist The Institute of Cancer Research Anna Pili MSc Course Manager Registry The Institute of Cancer Research General Course Queries MSc Administrative Team Registry The Institute of Cancer Research Statistics for the Oncologist - Module Guide 2016/17 Page 4 of 14

5 3 Name Lecturers Post Affiliation Mr James Morden Medical Statistician Institute of Cancer Research Mrs Jo Haviland Staff Scientist Institute of Cancer Research Prof Janet Peacock Professor Medical Statistics King s College London Ms Fiona Reid Senior Lecturer in Medical Statistics King s College London Mrs Minouk Schoemaker Staff Scientist, Epidemiology Institute of Cancer Research Note: Students should forward any administrative matters (e.g. timetabling, arrangements for assessment etc) concerning the module to the course administrator, at MScAdministrator@icr.ac.uk. Any academic matters should be forwarded to the Module Leaders or Joint Course Directors as appropriate. Statistics for the Oncologist - Module Guide 2016/17 Page 5 of 14

6 4 Aims Aims and learning outcomes To give you the tools to understand the statistical principles underlying the assessment of cancer epidemiology and treatment. You will develop the necessary skills required to participate in - and evaluate - new treatments, and to critically appraise published papers. Learning objectives To develop systematic, advanced skills in the description, display and comparison of sets of data. To apply appropriate statistical tests to different types of data. To gain a systematic understanding of trends in cancer development and how putative aetiological factors are assessed by epidemiologists. To critically appraise the design, organisation and results of cancer clinical trials. Statistics for the Oncologist - Module Guide 2016/17 Page 6 of 14

7 5 Types Indicative syllabus content of data Presenting and summarising individual variables, categorical data (nominal, ordinal), numerical data (discrete and continuous, the Normal distribution, transformation to Normality) Bar charts and histograms, Measures of central tendency and spread. Sampling Concept of a source population, random sampling, estimation of population statistics, standard error of a sample mean and of a proportion, and their differences, confidence intervals, reference ranges. Principles of statistical inference Hypothesis testing and estimation, type I and II errors, interpretation of p-values and confidence intervals, statistical and clinical significance Comparing two or more groups T-tests, Chi squared (with or without corrections) Measures and tests of association between variables Correlation and regression, scatter plots, screening tests, sensitivity, specificity, positive and negative predictive value Survival analysis Types of time-to-event data (survival data, recurrence data), presentation of survival data, Kaplan-Meier and actuarial survival curves, summarising survival data, comparing groups, logrank test for two or more groups, including ordered groups, use of Cox's proportional hazards regression model, hazard ratios and their interpretation Clinical trials Phases I-IV of clinical trials. Randomisation (need for randomisation, problems with nonrandomised studies and historical controls, methods of randomisation (simple, block, stratified minimisation), blinding/masking). Designs (parallel group, cross-over, factorial), Contents of a trial protocol. Ethics and informed consent. Measures of response (tumour regression, quality of life, morbidity, local and regional recurrence, distant metastases, death) Principles of sample size calculation, interim analyses, intent-totreat analysis Role and basic principles of meta-analysis Statistics for the Oncologist - Module Guide 2016/17 Page 7 of 14

8 Epidemiology Design and interpretation of retrospective (case control) and prospective (cohort) studies. Odds ratios and relative risks, mortality rates and standardised mortality rates. Cancer registration and follow-up. Trends in cancer incidence and mortality for major cancers. Page 8 of 14 Assessment Guide 2016/17

9 6 The Timetable timetable is below. Please see Canvas for the most up to date timetables. All lectures take place at: CCT Venues-Barbican Aldersgate House Aldersgate Street London EC1A 4JA Module Dates: 13th January-10th February 2017 Session Date Start Time Lecture Title Lecturer 1 Lecturer 2 13/01/ :15 Registration 13/01/ :30 summarising data Fiona Reid 13/01/ :30 BREAK 13/01/ :45 summarising data Fiona Reid 13/01/ :45 summarising data Fiona Reid 13/01/ :45 LUNCH 13/01/ :45 clinical trials James Morden Jo Haviland 13/01/ :45 clinical trials James Morden Jo Haviland 13/01/ :45 BREAK 13/01/ :00 clinical trials James Morden Jo Haviland 20/01/ :15 Registration 20/01/ :30 standard errors and confidence intervals Fiona Reid 20/01/ :30 BREAK Statistics for the Oncologist - Module Guide 2016/17 Page 9 of 14

10 20/01/ :45 20/01/ :45 standard errors and confidence intervals standard errors and confidence intervals Fiona Reid Fiona Reid 20/01/ :45 LUNCH 20/01/ :45 Epidemiology Minouk Schoemaker 20/01/ :45 Epidemiology Minouk Schoemaker 20/01/ :45 BREAK 20/01/ :00 Epidemiology Minouk Schoemaker 27/01/ :15 Registration 27/01/ :30 p-values and significance levels Fiona Reid 27/01/ :30 BREAK 27/01/ :45 p-values and significance Fiona Reid 27/01/ :45 p-values and significance Fiona Reid 27/01/ :45 LUNCH 27/01/ :45 survival analysis Janet Peacock 27/01/ :45 survival analysis Janet Peacock 27/01/ :45 BREAK 27/01/ :00 survival analysis Janet Peacock 03/02/ :15 Registration 03/02/ :30 Correlation and regression Fiona Reid 03/02/ :30 BREAK 03/02/ :45 Correlation and regression Fiona Reid Page 10 of 14 Assessment Guide 2016/17

11 03/02/ :45 Correlation and regression Fiona Reid 03/02/ :45 LUNCH 03/02/ :45 critical appraisal preparation time Anna Pili 03/02/ :45 critical appraisal preparation time 03/02/ :45 BREAK 03/02/ :00 critical appraisal preparation time 10/02/ :15 Registration 10/02/ :30 statistics - various Fiona Reid 10/02/ :30 BREAK 10/02/ :45 statistics - various Fiona Reid 10/02/ :45 statistics - various Fiona Reid 10/02/ :45 LUNCH 10/02/ :45 critical appraisals James Morden Jo Haviland 10/02/ :45 critical appraisals James Morden Jo Haviland 10/02/ :45 BREAK 10/02/ :00 critical appraisals James Morden Jo Haviland Page 11 of 14 Assessment Guide 2016/17

12 7 The Assessment following assessment methods will be used in this module: Submission of a critical review of a research publication together with peer group discussion. The critical review and peer group discussion will allow examination of the depth of your understanding of a specific aspect of statistics along with your ability to critically appraise data and to demonstrate its relationship and relevance to a clinical environment. You will be asked to select one of seven provided published research papers and undertake a critical review (max 1000 words). You should use the structured appraisal guidelines to critique the paper as discussed during the course (this can be a RCT, structured review, qualitative, cohort or economic analysis). Your critical review of this paper should include: A brief description of the trial design [this should not exceed 300 words] A summary of the main findings Why you think this study is important What are the weaknesses or limitations of the study? How do the findings of the trial relate to standard management of patients with this condition? Should this trial change patient management? If so how? Are there any limitations to implementing change on the basis of the trial? What future research should this trial stimulate? Suggest an appropriate design if possible The original paper should be attached as an appendix. In addition all students will sit a single best answer paper of 45 minutes duration. This assessment needs to be passed but will not contribute to the overall module mark.. Statistics for the Oncologist - Module Guide 2016/17 Page 12 of 14

13 8 The Learning resources following learning resources are relevant to this module: Core Texts: An Introduction to Medical Statistics, Bland, 3rd edition, 2000 (Oxford University Press) Epidemiology for the Uninitiated, Coggon, Barker & Rose, 5th edition, 2003 (BMJ Books) Medical Statistics at a Glance, Petrie & Sabin, 2000, (Blackwell Science) Practical Statistics for Medical Research, Altman, 1990 (Chapman & Hall) Statistical Questions in Evidence-based Medicine, Bland & Peacock, 2000, Oxford University Press Additional Reading: Clinical Epidemiology: A Basic Science for Clinical Medicine, Sackett, Haynes & Tugwell, 2nd edition, 1991, (Lippincott Williams & Watkins) Clinical Trials in Cancer: Principles and Practice, Girling, Parmar, Stenning & Stephens, 2003 (Oxford University Press) Statistics for the Oncologist - Module Guide 2016/17 Page 13 of 14

14 Mr James Morden and Mrs Jo Haviland Module Leaders: Statistics MSc Oncology The Institute of Cancer Research First Edition: March 2006 for Academic Year , Revised: August 2006, April 2007, July 2007, April 08 for Academic Year , July 08 for Academic Year January 10 for Academic Year July 10 for Academic Year February 12 for Academic Year June 12 for Academic Year November 12 for Academic Year February 13 for Academic Year June 13 for Academic Year February 14 for Academic Year Updated August 2014 for Year Updated January 2016 for Year Updated December 2016 for Year Page 14 of 14 Assessment Guide 2016/17