Biostatistics in Research Practice

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Biostatistics in Research Practice

• Dr Victoria Allgar

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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_at_hyms.ac.uk

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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

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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

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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
  Coxs regression
• Week 9 Meta analysis

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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?