
Academic Year:  2019/0 
Owning Department/School:  Department of Mathematical Sciences 
Credits:  6 [equivalent to 12 CATS credits] 
Notional Study Hours:  120 
Level:  Honours (FHEQ level 6) 
Period: 

Assessment Summary:  CW 25%, EX 75% 
Assessment Detail: 

Supplementary Assessment: 

Requisites:  Before taking this module you must take MA20227 
Description:  Aims: To introduce the statistical terminology specific to medical applications; to describe a range of techniques suitable for use in typical medical problems; to focus on questions that are of particular interest to medical practitioners; and to emphasise the explanation of statistical ideas and methods to clinicians. Learning Outcomes: On completing the course, students will be able to: * Recognise the key statistical features of a medical research problem, and, where appropriate, suggest a suitable study design; * Summarize medical data and identify possible sources of bias; * Use R to analyse data from routinelycollected health data sources, epidemiological studies, and clinical trials; * Understand the ethical considerations and governance problems related to biomedical studies. Skills: Numeracy T/F A Problem Solving T/F A Written and Spoken Communication T/F A Computing Skills T/F Content: Revision of statistical tests set in a medical context and introduction of nonparametric tests. Measures of risk inepidemiology; incidence and prevalence and formulation of hypothesis tests and confidence intervals. Methods of standardization and standardized mortality ratios. Demographic life tables. Diagnostic tests and measures of agreement. Design of medical experiments and ethical considerations. Clinical trials: phases I to IV of drug development and testing. Possible sources of bias in medical studies; randomization, blinding, patient withdrawals and "intent to treat" analysis. Observational studies; cohort and casecontrol studies. Relative risks and odds ratios; developing hypothesis tests and confidence intervals and interpretation. Sample size calculations. Survival analysis: censoring, life tables, survivor and hazard functions, KaplanMeier product limit estimator, logrank test, Cox's proportional hazards model. 
Programme availability: 
MA30086 is Optional on the following programmes:Department of Economics

Notes:
