Research Methods & Biostatistics

Research Methods & Biostatistics

1 Basic Concepts

  1. Epidemiology: An Introduction
  2. Biostatistics
  3. What is Research and Scientific Approach?

2 Formulation of Research Problem

  1. Introduction
  2. Selection of a Suitable Problem
  3. Specifying the Objectives of the Research Problem
  4. Formulating Hypothesis
  5. The Design of Research
  6. Sample Size Considerations

3 Design Strategies in Research- Descriptive Studies

  1. Design Strategies in Epidemiological Research
  2. Descriptive Studies
  3. Correlational Studies
  4. Case Study/Report
  5. Cross-Sectional Study/Survey

4 Design Strategies in Research- Analytic Studies

  1. Introduction
  2. Analytic Studies
  3. Observational Studies
  4. Experimental/Intervention Studies
  5. Issues in the Design and Conduct of Clinical Trials

5 Issues in the Design and Conduct of Selected Epidemiological Research Designs

  1. Descriptive Research
  2. Observational Studies
  3. Experimental Research

6 Methods of Sampling

  1. Concept of Sampling
  2. Methods of Sampling
  3. Probability Sampling
  4. Non-Probability Sampling
  5. Characteristics of a Good Sample

7 Research Tools-I- Questionnaire, Rating Scale, Attitude Scale and Tests

  1. Scales of Data Measurement
  2. Characteristics of a Good Research Tool
  3. Questionnaire and Schedules
  4. Rating Scale
  5. Attitude Scale
  6. Tests

8 Research Tools-II- Interview, Observation and Documents

  1. Interview
  2. Observation
  3. Documents

9 Data Collection

  1. Concept of Data
  2. Methods of Data Collection
  3. Ensuring the Quality of Data
  4. Key Points at a Glance

10 Tabulation and Organization of Data

  1. Types of Data: Quantitative and Qualitative
  2. Processing of Quantitative Data
  3. Tabulation and Organization of Quantitative Data
  4. Graphical Presentation of Quantitative Data
  5. Qualitative Data

11 Reference Values, Health Indicators and Validity of Diagnostic Tests

  1. Reference Values: Basic Concept
  2. Probability: A Measure of Uncertainty
  3. Indicators: Measures of Mortality and Morbidity
  4. Measures for Validity of Diagnostic Tests

12 Analysis of Data

  1. Measures of Central Tendency
  2. Measures of Variability
  3. Measures of Relative Positions
  4. Measures of Relationship
  5. Analysis of Qualitative Data

13 Statistical Testing of Hypothesis

  1. Classification of Statistical Tests
  2. Parametric Tests
  3. Sampling Distribution of Means
  4. Confidence Intervals and Levels of Significance
  5. Degrees of Freedom
  6. Application of Z-test
  7. Two-tailed and One-tailed Tests
  8. Application of t-test
  9. Application of F-test
  10. Non-parametric Tests
  11. Application of Chi-square Test
  12. Application of Median Test

14 Data Management, Analysis and Presentation

  1. Introduction to SPSS
  2. Features of SPSS for Windows
  3. Getting Started with SPSS
  4. Entering, Editing, and Deleting Data
  5. Importing Data into SPSS
  6. Data File Management Functions
  7. Running a Preliminary Analysis
  8. Understanding Relationship Between Variables: Data Analysis
  9. SPSS Production Facility
  10. JMP Statistical Analysis System (SAS)
  11. NUDIST