000			03089nam a22002297a 4500
005			20250630103226.0
008			250630b |||||||| |||| 00| 0 eng d
020			_a9781645322788
040			_aCSL _cCSL
041			_2eng _aeng
084			_aB28:f R3 _qCSL
100			_aFraser, Joshua _eauthor. _9814880
245			_aResearch Methodology and Biostatistics for Medical Sciences
260			_aNew York : _bAlexis Press, _c2023.
300			_ax, 322p. _b: ill. _c; 24 cm.
500			_aIncludes bibliography and index.
520			_aResearch 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
650			_aMethodology. _9462782
650			_aBiostatistics. _9426235
650			_aClinical trials. _9733386
942			_2CC _cTEXL _hB28:f R3 _n0
999			_c1433099 _d1433099