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PHC410 Pharmaceutical Biostatistics Assignment Example UiTM Malaysia

The course is aimed at equipping students with the fundamentals of biostatistics and the basic skills necessary for working in pharmaceutical companies. The lessons cover all aspects related to statistics, and epidemiology, as well as analytics software that is used when analyzing big data problems like ours.

The course material is extremely practical and we use a hands-on approach to make learning easier. Besides lectures, there are also practical exercises in which students can apply their new knowledge. Additionally, many case studies demonstrate real-life situations that you may encounter while working in the field.

The course is divided into four main units:

  1. Introduction to Biostatistics and Data Analysis
  2. Study Design and Data Collection
  3. Statistical Methods
  4. Data Management and Analysis Software

Each unit contains several lessons, which cover the topics in detail. At the end of each unit, there is a practical assignment in which students can apply their new knowledge.

The course also includes a series of guest lectures from experts working in the field, as well as online quizzes to test your understanding. Overall, this is an excellent opportunity for anyone looking to begin or advance a career in biostatistics.

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Assignment Activity 1: Demonstrate practical skills by applying data analytics tools for statistical analysis.

There are many different data analytics tools available on the market today, and choosing the right one for your needs can be a daunting task. However, if you want to demonstrate practical skills by applying data analytics tools for statistical analysis, here are some recommendations.

For descriptive statistics analysis, Excel is a great tool because it is relatively user-friendly and has a lot of built-in functions that can save you time. For example, you can use Excel to easily calculate means, medians, mode, and standard deviation for your data set. If you need to generate charts or graphs to visualize your data, Excel can also do this quickly and easily.

If you need to do more advanced statistical analysis, such as predictive modelling or multivariate analysis, then more specialized tools like R and SAS are worth exploring. These tools offer powerful capabilities for manipulating and analyzing large data sets, and they can often integrate seamlessly with other software platforms to speed up your workflow.

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Assignment Activity 2: Apply basic concepts of pharmaceutical biostatistics and data analytics.

Pharmaceutical biostatistics is the application of statistics to the pharmacy and the pharmaceutical sciences. It encompasses all aspects of designing, conducting, analyzing, and interpreting experiments and observational studies to assess the safety and efficacy of drugs and other medical treatments. Data analytics is a rapidly growing field that uses advanced analytical techniques to extract valuable insights from data.

Now that we have a basic understanding of these two concepts, let’s see how they can be applied to better understand the effectiveness of drugs and other medical treatments. 

Sample size calculation is an important aspect of pharmaceutical biostatistics. To ensure that our results are statistically significant, we must calculate the minimum number of samples that need to be collected. This allows us to properly power our study and increases the chances of finding a true difference between the treatment and control groups if one exists.

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