50_Research methodology and Biostatistics.pdf
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The document outlines the syllabus for a B.Sc. in Medical Lab Technology, specifically focusing on research methodology and biostatistics. It details the course objectives, outcomes, and structure, including various units covering research design, data analysis, and ethical considerations. Additionally, it includes performance indicators and recommended textbooks for further study.
50_Research methodology and Biostatistics.pdf
- 1. B.Sc. MLT Syllabus Attuluri Vamsi Kumar I Assistant professor I Dept of MLT I Ph No: 7416660584 I Website: mltmaster.com Website: www.mltmaster.com I YouTube: https://www.youtube.com/@vamsiMLT Program Name: B.Sc. Medical Lab Technology Syllabus of Research methodology and Biostatistics Course Name: Research methodology and Biostatistics Course Type Course Coordinator: Attuluri Vamsi Kumar – B.Sc. MLT, M.Sc. MLT, PhD (Perusing) Designation: Assistant Professor Department: Department of Medical Lab Technology (MLT) Program Core PRE-REQUISITE Basic life sciences up to 10+2 level Sem: 7 S. No: 50 About Vamsi: I am academician in Medical Laboratory Sciences with a strong desire to improve Outcome based education (OBE) structured MLT education. I am constantly focusing on building an academic atmosphere that is set high standards with strong multi blended teaching pedagogy models. YouTube: https://www.youtube.com/@vamsiMLT SlideShare: https://www.slideshare.net/VamsiIntellectual Website: www.mltmaster.com / https://sites.google.com/view/vamsi-intellectual-protfolio/home LinkedIn: https://www.linkedin.com/in/vamsi-kumar-attuluri-ab8987128/?originalSubdomain=in Research Gate: https://www.researchgate.net/profile/Attuluri-Kumar Orcid ID: https://orcid.org/0000-0001-9278-6714 Contact No: +91 7416660584 Mail ID: vamsifmlt@gmail.com A. COURSE DESCRIPTION This syllabus covers the foundational aspects of Research Methodology and Biostatistics. The course is designed to equip students with the necessary understanding and skills to formulate research problems, address ethical considerations, design research studies, comprehend the basic concepts of Biostatistics, and understand the relationship between data and variables. The aim is to enhance the students' ability to construct, summarize, and analyze data in biostatistics effectively. B. COURSE OBJECTIVES: 1. To identify and describe the basic principles of research methodology and biostatistics. 2. To explain the relationship between data and variables in the context of biostatistics. 3. To utilize various research tools and data collection methods effectively in the development of a research proposal. 4. To analyze different types of data and variables in biostatistics, and their implications in research. 5. To design and construct a comprehensive research study considering population, sample, and normality concepts. C. COURSE OUTCOMES CO No Statement Performance Indicator Level of Learning (Highest BT Level) Target Attainment CO1 Recall and describe the basic principles of research methodology and biostatistics, including different types of data and variables. PI 2.5, PI 6 Knowledge (K1) 70% CO2 Explain the significance of research design, ethical considerations in research, and the need for biostatistics in data analysis. PI 2, PI 4 Comprehension (K2) 70% CO3 Apply knowledge of research tools and sampling methods to formulate and develop a comprehensive research proposal. PI 2.1, PI 2.2, PI 2.3, PI 2.4, PI 6 Application (K3) 70%
- 2. B.Sc. MLT Syllabus Attuluri Vamsi Kumar I Assistant professor I Dept of MLT I Ph No: 7416660584 I Website: mltmaster.com Website: www.mltmaster.com I YouTube: https://www.youtube.com/@vamsiMLT CO4 Analyze the construction of a study, including the concepts of population, sample, and normality, and identify the relationships between data and variables. PI 2.5, PI 2.6, PI 2.7, PI 3 Analysis (K4) 70% CO5 Synthesize information and techniques learned to design a research study and effectively collect relevant data. PI 2.1, PI 2.2, PI 2.3, PI 2.4, PI 2.8, PI 2.9 Synthesis (K5) 70% CO6 Evaluate and interpret statistical analyses, and make inferences from research findings to draw meaningful conclusions. PI 2.6, PI 2.7, PI 2.8, PI 3, PI 7, PI 8 Evaluation (K6) 70% D. SYLLABUS Unit-1 Introduction to Research Methodology Contact Hours:15 Chapter 1.1 Understanding Research and Ethical Issues- Introduction to research methods, Identifying research problem, Ethical issues in research Chapter 1.2 Designing a Research Study- Research design, Research tools and Data collection methods, Developing a research proposal Experiment 1 / Case study Developing a Hypothesis for a Research Problem Experiment 2 / Case study Identifying Ethical Issues in a Given Research Scenario Experiment 3 / Case study Designing a Research Study Based on a Given Problem Unit-2 Understanding Biostatistics Contact Hours:15 Chapter 2.1 Basic Concepts of Biostatistics - 50 Chapter 2.2 Data and Variables in Biostatistics- Relation between data & variables, Type of variables: defining data set, Collection of relevant data: sampling methods Experiment 4 / Case study Differentiating Different Types of Data in Biostatistics Experiment 5 / Case study Identifying Variables in a Given Data Set Experiment 6 / Case study Applying Sampling Methods for Data Collection Experiment 7 / Case study Understanding the Relationship Between Data & Variables Unit-3 Analyzing Data in Biostatistics Contact Hours:15 Chapter 3.1 Construction of Study- Construction of study: population, sample, normality and its beyond Chapter 3.2 Summarization and Analysis of Data- Summarizing data on the pretext of underlined study, Understanding of statistical analysis Experiment 8 / Case study Constructing a Study using Population, Sample and Normality Concepts Experiment 9 / Case study Summarizing Data for a Given Study Experiment 10 / Case study Conducting a Basic Statistical Analysis Self-study topics for Advance learners: Advanced Statistical Models: This could include topics such as hierarchical linear modeling, structural equation modeling, and advanced regression techniques. These statistical models can handle more complex research questions and data structures., Bayesian Statistics: This is a different approach to statistical inference that has gained popularity in recent years. Understanding Bayesian statistics can offer a new perspective and additional tools for data analysis., Meta-Analysis: This is a research method that combines the results of multiple studies on the same topic to draw more robust conclusions. This topic would cover the rationale for conducting meta-analyses, the statistical methods used, and the interpretation of results., Advanced Research
- 3. B.Sc. MLT Syllabus Attuluri Vamsi Kumar I Assistant professor I Dept of MLT I Ph No: 7416660584 I Website: mltmaster.com Website: www.mltmaster.com I YouTube: https://www.youtube.com/@vamsiMLT Design: Cover topics like factorial designs, sequential designs, longitudinal studies, and multi-level designs. These designs can address more complex research questions than simpler designs like single- factor experiments. E. TEXT BOOKS/REFERENCE BOOKS TEXT BOOKS T1 Statistical Methods by S.P. Gupta T2 Research Methodology: A Step-by-Step Guide for Beginners by Ranjit Kumar T3 Biostatistics: The Bare Essentials by Geoffrey R. Norman and David L. Streiner REFERENCE BOOKS R1 Methods in biostatistics for medical students by B.K.Mahajan R2 RPG Biostatistics by HimanshuTyagi R3 Designing Clinical Research by Stephen B Hulley
- 4. B.Sc. MLT Syllabus Attuluri Vamsi Kumar I Assistant professor I Dept of MLT I Ph No: 7416660584 I Website: mltmaster.com Website: www.mltmaster.com I YouTube: https://www.youtube.com/@vamsiMLT Code Performance Indicators PI 1 Demonstrate professional interpersonal, oral, and written communications skills sufficient to serve the needs of patients and the public including an awareness of how diversity may affect the communication process. PI 2 Perform pre-analytical, analytical, and post-analytical processes: PI 2.1 Demonstrate ability to understand investigation/test requisition. PI 2.2 Collecting the relevant clinical samples along with complete and accurate documentation with proper safety measures in relation to sample accountability. PI 2.3 To transport the samples with precautionary measures to the relevant lab section. PI 2.4 Demonstrate the ability to prepare clinical sample for processing PI 2.5 To demonstrate the knowledge of accurate sample processing for the required lab investigation. Perform routine clinical laboratory tests in clinical chemistry, haematology/haemostasis, immunology, immunohematology, microbiology, Histopathology, Cytopathology, body fluid analysis, and laboratory operations. PI 2.6 Perform mathematical calculations related to all areas of the clinical laboratory PI 2.7 Ability to record the test results/data. PI 2.8 To demonstrate the ability to interpret the test reports and its documentation in lab records. PI 2.9 Demonstrate ability to release the report to the right person in minimum turn-around time (TAT). PI 3 Perform problem solving and troubleshooting techniques for laboratory methodologies Correlate laboratory test results with patient diagnosis and treatment. PI 4 To follow basic quality assessment protocol of clinical laboratory. PI 5 Demonstrate routine laboratory techniques sufficient to orient new employees within the clinical laboratory. PI 6 Apply basic scientific principles in learning new techniques/procedures; demonstrate application of principles and methodologies. PI 7 Utilize computer technology applications to interact with computerized instruments and laboratory information systems. PI 8 Demonstrate adequate knowledge of computer software as it applies to document production, spreadsheets, and presentations. PI 9 Demonstrate professional behaviour with co-team mates. PI 10 Demonstrate sensitivity and compassion towards patients.