Available courses

Review Article

Ethical Review Committees, processes and Procedures

Responsible conduct of research

Introduction to research ethics

Scientific Writing

Scholarly Writing Course 

 

 Course credits: 2 credits                                                                                         

Meeting Time – 2 hours weekly      

Meeting Place : TBA                                                                        

 

Course Instructor

Dr. Shaza Kamal Abass, BDS, MSc, PhD.

Associate Professor of Orthodontics, University of Khartoum 

Email: skabbas@hotmail.com

 

Course Overview:

This course will cover the importance of scientific writing with emphasis on clarity, simplicity and precision in writing. Different types of scientific articles will be addressed including original articles, review articles, case reports and commentaries.  Special consideration will be given to ethical practices in writing and publications as well as acceptable writing styles and citation methods.  The students will be expected to prepare a manuscript following a journal guidelines by the end of the course. Also students will learn how to prepare an as well as an abstract and a poster presentation to be submitted to a scientific meeting.

 

Course Objectives:

At completion of this online course, students will be able to communicate their research findings by preparing a written presentations that describes what was done and how it was done with proper discussion of their results. Students should be able to

1.      Use precise clear writing style.

2.      Prepare written materials that demonstrate accepted scientific styles.

3.      Be able to systematically review the literature and write a literature review.

4.      Avoid plagiarism through proper paraphrasing and accurate literature citations.

5.      Recognize ethical challenges involved in publishing scientific research including authorship and acknowledgments.

6.      Organize, evaluate and arrange data to create tables and figures that are clear , complete and effectively illustrate the important results

7.      Using the “Instructions to Authors’ from a journal.

8.      Identify problems in written materials and edit revise and rewrite material in order to clarify its meaning

9.      Prepare an abstract suitable for submission to a scientific meeting.

10.  Prepare a poster presentation

 

COURSE MATERIALS

The course material that will be posted on the course site, these include reading materials, lessons, and videos. The text book for this course is Day, Robert A. 1998.How to Write and Publish a scientific Paper, (5th Ed). Oryx Press, NY.

 

COURSE SCHEDULE:

Activity

1.      Introduction to Scientific Writing

   (Readings: Day  page 1-8)

2.      Type of Scientific Literature 

(Readings: Day Chapter 1, 32, 33, Appendices 3and 4)

3.      Elements of  a scientific article

(Readings: Day Chapter 32)

4.      Reviewing the Literature

5.      Introduction to primary research; Writing the Introduction and Literature Review          

Readings; Day page 33-36, page 200- 226)

6.      Introduction to primary research; Writing the Material and Methods section

Readings Day pages 46- 41

7.      Introduction to primary research articles- Writing your results- Figures, tables and other Illustrations

Readings ; Day page 42-45

8.      Introduction to primary research; Writing the Discussion, Title, Authors, Acknowledgement  and Bibliography

Readings Day Chapter 10

9.      Preparing an Abstract

10.  Guidelines for reviewing manuscripts

11.  Preparing a Book Chapter and  review articles

12.  Preparing a Grant Proposal

13.  Plagiarism, Paraphrasing and Citing the Literature

Readings:  Day, Chapters 12 and 31

14.  Preparing a Poster Presentation

 

Class Text :

Day, Robert A. 1998.How to Write and Publish a scientific Paper, (5th Ed). Oryx Press, NY.

 

Assessment:

Discussion Forum 1 (15/3/2017)                                 30%

Discussion Forum 2 (12/4/2017)                                 30%

Exercises                                                                     40%


Data collection, management and analysis

Study designs and systematic review

Open

Introduction to research methodology

Closed 

Biostats

Course Information

Course Number:

3

Course Title:

Biostatistics

Semester & Year:

Fall 2018

Start / End Dates:  

14/05/2018 - 8/07/2018

Credit Hours:          

3 Credits

 

Instructor Information

InstructorName:

Dr. Husam Eldin Sadig

Phone:

0908832728

Email:

husam.sadig@hotmail.com

Instructor Response:

Within 48 hours

 

Course Overview

Course Description:

The subject biostatistics is concerned with the application of statistical methods on biomeasures. This helps researchers understand the nature of the relationships between different factors which, in turn, aids the process of answering research questions and lay the foundations for developments in the health system. The course helps students acquire a set of skills relevant to the application of statistical methods (both descriptive and analytical) on biological data.

Prerequisites:

None

Corequisites:

None

Required readings

Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

 

Course Learning Objectives

 

Upon completion of this course, students will be able to:

1.       Describe the importance of biostatistics in the application of health sciences research.

2.       Apply measures of central tendency and dispersion on bio measures.

3.       Diferentiate between the different types of probability.

4.       Calculate the probability for different types of events.

5.       Use the life table to estimate survival/death probability.

6.       Describe the normal curve and the area underneath it using standard deviation units.

7.       Discuss the sampling distribution of the sample mean and the central limit theorem.

8.       Apply confidence intervals for the estimation of a sample mean.

9.       Conduct hypothesis testing using different types of statistical tests.

10.   Test for association and correlation between factors.

11.   Apply regression analysis and use the estimated regression for prediction purposes.

 

Grading

 

Percentages:

Excersises:  40%

Assignment:          60%

 

Grading Scale:

Final Grade

Percentage

 A+

94 - 100%

         A

90 – 93%

 B

80 - 89%

C

70 - 79%

D

60 - 69%

F

< 60%

 

 

Submitting Assignments: assignment and excersies must be submitted on time. Late submisions will either not be accepted or will result in grade reduction at the discretion of the instructor.

 

All excersises and assignment should be submitted through the online system. If you encounter a problem regarding submition, first contact the programme help desk (Mr. Tarig Elkheir). If this does not resolve the issue in time to meet the deadline, notify your instructor about the problem and make the submission via email or other methods specified by your instructor.

 

SYLLABUS

 

Module

Topic

 

Module Learning

Objectives

 

Instructional Content and Resources

 

 

Activities

Assessment

 

Due Date

Introduction to biostatistics: significance and basic concepts

1.       Describe the importance of biostatistics in the application of health sciences research.

REQUIRED READINGS

·         Lecture 1 notes.

·         Chapter 1 in Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

Lesson 1:

Introduction to biostatistics

 

Read the  Required Readings

Assignment

Assignment is due 27/12

Descriptive statistics: measures of central tendency and dispersion

2.       Apply measures of central tendency and dispersion on bio measures.

 

REQUIRED READINGS

·         Lecture 2 notes.

·         Chapter 3 in Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

Lesson 2:

Descriptive statistics

 

Read the required readings

Excersise 1

 

Assignement

Excersise 1 is due 23/11

 

Assignment is due 27/12

Probability theory: definitions, probability types and random variables.

 

3.       Diferentiate between the different types of probability.

REQUIRED READINGS

·         Lecture 3 notes.

·         Chapter 4 in Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

 

Lesson 2:

Probability theory

 

Read the required readings

Excersise 2

 

Assignement

Excersise 2 is due 24/11

 

Assignment is due 27/12

Probability theory: continued

 

4.       Calculate the probability for different types of events.

REQUIRED READINGS

·         Lecture 4 notes.

·         Chapter 4 in Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

Lesson 3:

Probability theory

 

Read the required readings

Excersise 3

 

Assignement

Excersise 3 is due 26/11

 

Assignment is due 22/12

Life table

5.       Use the life table to estimate survival/death probability.

 

REQUIRED READINGS

·         Lecture 5 notes.

 

Lesson 5:

Life table

 

Read the required readings

Excersise 4

 

Assignement

Excersise 4 is due 29/11

 

Assignment is due 27/12

Distribution theory

6.       Describe the normal curve and the area underneath it using standard deviation units.

·         Lecture 6 notes.

·         Chapter 4 in Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

Lesson 6:

Distribution theory

 

Read the required readings

Excersise 5

 

Assignement

Excersise 5 is due

2/12

 

Assignment is due 27/12

Sampling distribution and central limit theorem

7.       Discuss the sampling distribution of the sample mean and the central limit theorem.

 

·         Lecture 7 notes.

·         Chapter 4 in Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

Lesson 7:

Sampling distribution and central limit theorem

 

Read the required readings

Excersise 6

 

Assignement

Excersise 6 is due

4/12

 

Assignment is due 27/12

Inferential statistics: estimation

8.       Apply confidence intervals for the estimation of a sample mean.

·         Lecture 8 notes.

·         Chapter 4 in Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

Lesson 8:

Estimation

 

Read the required readings

Excersise 7

 

Assignement

Excersise 7 is due

7/12

 

Assignment is due 27/12

Inferential statistics: test of hypothesis

9.       Conduct hypothesis testing using different types of statistical tests.

·         Lecture 9 notes.

·         Chapter 4 and 5 in Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

Lesson 9:

Test of hypotheisis

 

Read the required readings

Excersise 8

 

Assignement

Excersise 8 is due

10/12

 

Assignment is due 27/12

Inferential statistics: test of hypothesis: continued

9. Conduct hypothesis testing using different types of statistical tests.

·         Lecture 10 notes.

·         Chapter 5 in Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

Lesson 10:

Test of hypothesis (continued)

 

Read the required readings

Excersise 9

 

Assignement

Excersise 9 is due

13/12

 

Assignment is due 27/12

Association and correlation

10. Test for association and correlation between factors.

·         Lecture 11 notes.

·         Chapter 7 and 9 in Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

Lesson 11:

Association and correlation

 

Read the required readings

Excersise 10

 

Assignement

Excersise 10 is due

16/12

 

Assignment is due 27/12

Regression analysis

11. Apply regression analysis and use the estimated regression for prediction purposes.

·         Lecture 12 notes.

·         Chapter 9 in Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

Lesson 12:

Regression analysis

 

Read the required readings

Excersise 11

 

Assignement

Excersise 11 is due

18/12

 

Assignment is due 27/12

Regression analysis: continued

11. Apply regression analysis and use the estimated regression for prediction purposes.

 

·         Lecture 13 notes.

·         Chapter 9 in Biostatistics: A methodology for the Health Sciences (2004), Belle, G., Fisher, L., Heagerty, P., and Lumley, T., Wiley: New York.

 

Lesson 13:

Regression analysis

 

Read the required readings

Excersise 12

 

Assignement

Excersise 12 is due

20/12

 

Assignment is due 27/12