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Biostatistics in Research Practice

Biostatistics in Research Practice. Dr Victoria Allgar. Course structure. Lecture of key concepts Practical on SPSS for most sessions except: Multi-level modelling Meta analysis Course material available from my web area: http://www-users.york.ac.uk/~va507/

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Biostatistics in Research Practice

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  1. Biostatistics in Research Practice Dr Victoria Allgar

  2. Course structure • Lecture of key concepts • Practical on SPSS for most sessions except: • Multi-level modelling • Meta analysis • Course material available from my web area: http://www-users.york.ac.uk/~va507/ • Any questions or problems you can contact me on ext: 1384 or e-mail: victoria.allgar@hyms.ac.uk

  3. Lecturers • Victoria Allgar - Senior Lecturer in Medical Statistics, HYMS/Health Sciences • Simon Crouch - Research Fellow, Eplidemiology and genetics unit • Gill Worthy - Research Fellow, Centre for Reviews and Dissemination • Kate Pickett - Lecturer in Epidemiology, Health Sciences • Martin Bland - Professor of Health Statistics, Health Sciences

  4. Recap of applied biostatistics • Frequency distributions • Mean and standard deviation • Significance tests • Standard error and confidence intervals • Comparing means: t-tests • Chi-square tests • Proportions, risk ratios and odds ratios • Correlation and regression • Multiple regression

  5. Biostatistics in Research Practice • Week 2: Review of inferential statistics • Week 3: Non-parametric tests • Week 4: Regression and multiple regression • Week 5: More multiple regression • Week 6: Categorical data: logistic regression • Week 7: Multi-level modelling • Week 8: Time related data: survival analysis and Cox’s regression • Week 9: Meta analysis

  6. Week 2: Review of inferential statistics • Practical session on SPSS • Drawing on the Applied Biostatistics module • Keel free to ask questions or ask for clarification. • 1.15 – 4.15: Coffee break?

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