Biostatistics for Medical, Nursing and Pharmacy Students(English, Paperback, Indrayan Abhaya)
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Designed specially for undergraduate students in medicine, pharmacy and nursing, this compact text, oriented completely to the medical aspects, skillfully analyzes the fundamentals of Biostatistics. The book begins with discussions on Biostatistics in health and diseases, types of data, and methods of data collection. Then it goes on to give a detailed description of fertility and demography indicators, indicators of social and mental health, sampling, standard error and confidence interval, as well as the principles of statistical tests. The study concludes with a discussion on parametric and non-parametric tests, chi-square tests, regression and correlation, and sample size in medical studies. About The Author L. Satyanarayana, Ph.D., is Deputy Director, Division of Epidemiology and Biostatistics, Institute of Cytology and Preventive Oncology (Indian Council of Medical Research), Noida (UP). A. Indrayan, Ph.D. (Ohio State University, USA), FAMS, is Head of the Department of Biostatistics and Medical Informatics, University College of Medical Sciences (UCMS), Delhi. He has been a visiting faculty at Ohio State University and a Visiting Research Scientist, University of Massachusetts. Table of Contents Preface. 1. Biostatistics in Health and Disease. 2. Types of Data and Methods of Data Collection. 3. Quality of Data and Medical Tests. 4. Sources of Existing Medical Data. 5. Assessment of Morbidity. 6. Indicators of Mortality. 7. Fertility and Demography Indicators. 8. Indicators of Social and Mental Health. 9. Numerical Summarization of Medical Data. 10. Graphs in Health and Disease. 11. Probability and Reference Range of Medical Parameters. 12. Descriptive Studies: Sampling. 13. Prospective, Retrospective and Cross-sectional Studies. 14. Experiments and Clinical Trials. 15. Standard Error and Confidence Interval. 16. General Principles of Statistical Tests. 17. Statistical Significance: Parametric and Non-Parametric Tests. 18. Strength of Association and Chi-Square Tests. 19. Regression and Correlation. 20. Sample Size in Medical Studies. Appendix. Index.