| CODE | PHR3602 | ||||||||||||
| TITLE | Data Management | ||||||||||||
| UM LEVEL | 03 - Years 2, 3, 4 in Modular Undergraduate Course | ||||||||||||
| MQF LEVEL | 6 | ||||||||||||
| ECTS CREDITS | 6 | ||||||||||||
| DEPARTMENT | Pharmacy | ||||||||||||
| DESCRIPTION | - Data Management Plan - Electronic data - Case report forms - Entering data - Managing laboratory data - Collecting adverse events data - Creating reports and transferring data Statistics: - Errors - Populations samples and distributions - The normal distribution: Calculating probabilities of occurrences; Calculating confidence intervals for the - mean; Interpreting confidence intervals - Covariance and correlation - Linear combinations of random variables - Random sampling in normal populations Applying the normal distribution: Making comparisons with a reference value; Determining sample size; Statistically controlling processes; Comparing two averages; Comparing two variances. Study-unit Aims: - To input and manage data in the pharmaceutical industry, community and in hospital settings; - To collect and handle data for projects. Learning Outcomes: 1. Knowledge & Understanding: By the end of the study-unit the student will be able to describe techniques of data collection and data management 2. Skills: By the end of the study-unit the student will be able to: - collect, store, handle and analyse data; - present data using scientific language, with the appropriate referencing system. Main Text/s and any supplementary readings: - Sharp J. Quality in the Manufacture of Medicines and other Healthcare Products. London: Pharmaceutical Press; 2000. - Prokscha S. Practical guide to clinical data management. Boca Raton (USA): CRC Press; 2007. - Smith F. Conducting Your Pharmacy Practice Research Project: A Step-By-Step Guide. London: Pharmaceutical Press; 2005. - Bruns RE, Scarminio LS, Neto BB. Statistical Design - Chemometrics, Volume 25 (Data Handling in Science and Technology). Amsterdam: Elsevier BV; 2006. |
||||||||||||
| STUDY-UNIT TYPE | Lecture and Tutorial | ||||||||||||
| METHOD OF ASSESSMENT |
|
||||||||||||
| LECTURER/S | Decelis Danika Agius Alison Anastasi Nicolette Sammut Bartolo |
||||||||||||
|
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2024/5. It may be subject to change in subsequent years. |
|||||||||||||