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The concept of evidence-based pharmacy practice and sources of drug information.
Common study designs in biomedical literature.
Strengths and limitations of different study designs.
Basic Concepts and Theoretical Aspects of Biostatistics.
Requirements and steps for conducting descriptive and inferential statistics.
Important statistical formulas used in biomedical research.
Common statistical tests and software in data analysis.
Applying statistical concepts to practical scenarios and cases.
1.1 Explain the role of qualitative and quantitative research in building better evidence.
1.2 Description of qualitative, analytical, and experimental research types.
1.3 Description of the methods and steps used in conducting different types of research.
1.4 Describe the main characteristics of health data.
1.5 Description of Statistical Methods Used in Biomedical Research.
2.1 Differentiating between different types of evidence.
2.2 Evaluating the strengths and weaknesses of different research types.
2.3 Conduct Qualitative and Quantitative Research.
2.4 Numerical and Graphical Data Representation.
2.5 Calculation of the Mean, Median, Mode, Standard Deviation, and Confidence Intervals.
2.6 Conducting Statistical Inference and Significance Tests.
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