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CLINICAL RESEARCH, DATA ANALYSIS AND PUBLICATION

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Self-Paced Online Training: 40 Hours
Pre/post Test: (1hr Each)
Written Assignment: 4hrs
Support and Assistance: 24/7
Student: 30 Students
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CLINICAL RESEARCH, DATA ANALYSIS AND PUBLICATION

( 5.0 )
Overview

The Short Course on Clinical Research, Data Analysis, and Publication is designed to equip healthcare professionals, researchers, and students with essential skills and knowledge in clinical research methodologies, data analysis techniques, and the intricacies of scientific writing and publication. This comprehensive program covers foundational research methods, topic selection, literature review, quantitative and qualitative research approaches, data analysis, and manuscript preparation. Participants will engage in practical exercises and real-world applications to enhance their research capabilities and contribute effectively to the scientific community.

Goal

The goal of this short course is to develop participants' proficiency in conducting high-quality clinical research, analyzing data accurately, and publishing their findings in reputable scientific journals. By the end of the course, participants will be equipped with the necessary tools to undertake independent research projects, collaborate effectively in research teams, and contribute valuable insights to their respective fields.

Mission

The mission of this short course is to foster a deep understanding of clinical research principles and practices among healthcare professionals and researchers. We aim to empower participants with the knowledge and skills to design, execute, and disseminate robust research studies that advance medical science and improve patient outcomes. Through a blend of theoretical knowledge and practical experience, we strive to cultivate a culture of rigorous scientific inquiry and ethical research conduct.

ICT Requirements

  • Computer/ Laptop with Microphone & Camera in working condition
  • Good Internet
  • Access to Google Forms / MS Forms
  • Ability to perform basic MS word and Excel
  • SPSS, STATA, R software’s for data analysis
Learning Outcomes

By the end of the training, participants will be able to.

    1. Define and explain key research concepts and terminology, and differentiate between various types of research and methodologies.
    2. Select appropriate research topics, formulate clear research objectives, questions, and hypotheses, and design and plan research studies using quantitative and qualitative approaches.
    3. Access and evaluate relevant research literature, and properly cite sources while integrating findings into their research projects.
    4. Implement quantitative research designs, including experimental and non-experimental methods, and apply qualitative research methods and study designs effectively.
    5. Analyze research data using descriptive and inferential statistical techniques, and utilize software tools for data analysis and interpretation.
    6. Write clear and concise abstracts and manuscripts, understand the ethical considerations in research, adhere to best practices, and present and disseminate research findings through appropriate channels.
    7. Collaborate effectively with research teams and stakeholders, and communicate research findings to diverse audiences, including academic, clinical, and public sectors.
Training Modality

Live Online Sessions: 2 hours per day for 11 days, conducted synchronously by renowned researchers with over 20 published works.

Online Group Mentorship: 2 hours per week for one month.

Assessment

Pre-test and post-test, each lasting 1 hour.

Target Audience

This course is designed for healthcare professionals, researchers, students, and individuals who are interested in or involved with clinical research, data analysis, and publication.

How to Obtain Credit

To obtain CPD or CME Credit, complete the post-tests with an 80% pass rate. Complete the evaluation survey on-line and submit. A certificate will be mailed within a week of course completion date to the E-mail address provided at the time of registration.

Curriculum

This module introduces the fundamental concepts and methodologies of research. Participants will explore what constitutes research, its applications, and different types of research. The session will also cover essential research vocabulary, concepts, hypotheses, variables, and types of data.

Objectives
    • Understand the definition and purpose of research.
    • Differentiate between various types of research.
    • Familiarize with basic research concepts and vocabulary.
    • Identify and formulate hypotheses and variables.
    • Distinguish between qualitative and quantitative data.
    • Comprehend the processes of deduction and induction.

This module focuses on selecting a research topic and writing the initial sections of a research paper. Participants will learn how to define research objectives, formulate research questions, and develop hypotheses.

Educational Objectives
Upon completion of this program, participants should be better able to:
    • Select an appropriate research topic.
    • Define clear research objectives and questions.
    • Develop a well-structured hypothesis.
    • Write preliminary sections of a research paper.

Participants will learn how to conduct a thorough literature review and properly cite sources. This module covers accessing resources, searching for relevant materials, and understanding the importance of citations in research.

Educational Objectives
Upon completion of this activity, the participant should be able to:
    • Conduct an effective literature review.
    • Access and evaluate resource materials.
    • Properly cite sources in research work.

This module explores various quantitative research approaches and study designs, providing participants with a comprehensive understanding of experimental and non-experimental research methods.

Educational Objectives
Upon completion of this activity, the participant should be able to:
    • Understand various quantitative research approaches and study designs.
    • Differentiate between experimental and non-experimental research designs.
    • Apply appropriate study designs for different research questions.

This module focuses on probability sampling methods and determining sample sizes, crucial for ensuring the validity and reliability of quantitative research findings.

Educational Objectives
Upon completion of this activity, the participant should be able to:
    • Apply probability sampling methods.
    • Determine appropriate sample sizes for research studies.
    • Understand the implications of sampling methods on research results.

This module covers various quantitative data collection techniques, equipping participants with the skills to effectively gather and analyze data for research purposes.

Educational Objectives
    • Collect quantitative data using different methods.
    • Understand the advantages and limitations of various data collection techniques.
    • Implement data collection methods appropriately based on research needs.

This module introduces participants to qualitative research methods, study designs, sampling techniques, and data collection methods. Participants will learn about the foundations of qualitative research and various non-probability sampling methods.

Educational Objectives
    • Understand qualitative research methodologies.
    • Identify different qualitative study designs.
    • Apply non-probability sampling methods.
    • Collect qualitative data using various techniques.

This module provides a comprehensive understanding of descriptive data analysis techniques. Participants will learn how to summarize and interpret data to gain insights and present results effectively.

Educational Objectives
    1. Perform descriptive data analysis to summarize and interpret data.
    2. Utilize statistical measures to describe data distributions and trends.
    3. Interpret and present descriptive statistics effectively.

This module delves into inferential data analysis techniques, focusing on making predictions and generalizations about a population based on sample data

Educational Objectives
    1. Perform inferential data analysis to draw conclusions from data.
    2. Apply statistical tests to make predictions and generalizations.
    3. Interpret inferential statistics results and understand their implications.

This module focuses on using statistical software tools for data analysis. Participants will gain hands-on experience with software tools like SPSS, R, and Stata to conduct various types of data analysis.

Educational Objectives
    1. Utilize statistical software tools for data analysis.
    2. Perform data manipulation and analysis using software.
    3. Interpret and present results from statistical software.

This module guides participants through the process of writing an abstract, preparing a manuscript for publication, and understanding research ethics. It also covers data presentation and dissemination of findings.

Educational Objectives
    • Write a concise and informative abstract.
    • Prepare a manuscript for publication.
    • Understand and adhere to research ethics.
    • Present and disseminate research findings effectively.
Benefits of Attending the training

1. Gain a comprehensive understanding of research methodologies, data analysis techniques, and scientific writing, which are essential for conducting high-quality research projects.
2. Apply theoretical knowledge through practical exercises and real-world applications, enhancing your ability to execute research projects effectively.
3. Learn to use advanced software tools for data analysis, enabling you to handle complex datasets and derive meaningful insights from your research.
4. Develop the skills necessary to prepare and submit manuscripts for publication in reputable scientific journals, increasing your research visibility and academic contributions.
5. Connect with fellow researchers, healthcare professionals, and experts in the field, fostering collaborative relationships and expanding your professional network.
6. Understand and adhere to ethical standards in research, ensuring that your studies are conducted responsibly and with integrity.
7. Enhance your professional profile and career prospects by acquiring valuable skills and knowledge that are highly regarded in the academic and healthcare research communities.
8. Benefit from a tailored curriculum that addresses the specific needs and challenges of clinical research, data analysis, and publication.
9. Receive a certificate upon completing the course, demonstrating your commitment to professional development and your expertise in clinical research.
10. Earn CPD points that contribute to your ongoing professional development and certification requirements.

Training method:
• Live Synchronous Interactive presentations
• Discussions
• Project exercise
• Case studies
• Mentorship
• Support for case study publication
Assessment
• Pre-Test
• Progress assessment Online Test
• Post-Test
• Case Study Questions
• Self-Paced Learning Tests on the LMS
Passing Criteria
To receive a certificate of competence, candidates must achieve a minimum passing score of 80% or above on the post-test administered at the end of the training.
Assessment Feedback
• Daily participant evaluation form
• End of training assessment
Evaluation of the CPD Activity
• Performance at Post test
• Continuous evaluation of participant’s performance through project and assignment
• Post training follow-up
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