Research Methodology and Biostatistics for Medical Sciences
Material type:
TextLanguage: English Publication details: New York : Alexis Press, 2023.Description: x, 322p. : ill. ; 24 cmISBN: - 9781645322788
- B28:f R3
Textual
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Central Science Library | Central Science Library | B28:f R3 (Browse shelf(Opens below)) | Available | SL1656008 |
Includes bibliography and index.
Research is defined as careful consideration of study regarding a particular concern or problem using scientific methods. According to the American sociologist Earl Robert Babble, "research is a systematic inquiry to describe, explain, predict, and control the observed phenomenon. It involves inductive and deductive methods." Inductive research methods analyze an observed event, while deductive methods verify the observed event. Inductive approaches are associated with qualitative research, and deductive methods are more commonly associated with quantitative analysis. Research Methodology & Biostatistics for Medical Sciences is a precisely written book for undergraduate and postgraduate medical, dental, nursing, physiotherapy, clinical psychology and other allied health care profession students. The book is an excellent attempt towards introducing the students and faculty members to the various research methodologies adopted in the field of health sciences to record health-related data. An applied, user-friendly book with self-explanatory simple language and presentation for the students. In-depth coverage of all aspects of research methodology and biostatistics in a concise manner.Introduction to Research and Biostatistics, 2. Research Process, Problems andDesign, 3. Types of Data and Proportions, Tabular and Diagrammatic Presentation of Data Probability, 4. Need of Bio-statistics in Medicine, 5. Research in Statistical Methods, 6. Research Proposal and Report Writing and Data Presentation and Data Handling in Populations and Statistics, 7. Biostatistical Design of Medical Studies, 8. Statistical Inference: Populations and Samples, 9. Measures of Central Tendency, Measures of Location Arithmetic, Measures of Variation, 10. Organization of Data, Frequency Distribution, Normal Distribution, Measures of Dispersion and Standard Error Estimation, 11. Correlation and Regression, Blocking and Regression Modeling, 12. Methods of Probability Sampling: Simple, Random, Stratified, Systemetic Procedure, Merit and Demerit, Use of Random Number Table, 13. Basic Probability Distributions and Sampling Distributions, 14.Sampling and Hypothesis, Multivariate Analysis, 15. Parametric and Non-Parametric Test, 16. Test of Significance, 17. Clinical Research Design, Industrial and Clinical Trials: Statistical Software's, 18, Design and Analysis of Fun
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