Biostatistics for Pharmacy Students
Material type:
- 9788174733955
- 570.15195 RAO
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INPS LIBRARY | INPS | 570.15195 RAO (Browse shelf(Opens below)) | Not For Loan | Reference Books | N283 | ||
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INPS LIBRARY | INPS | 570.15195 RAO (Browse shelf(Opens below)) | Available | N284 | |||
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INPS LIBRARY | INPS | 570.15195 RAO (Browse shelf(Opens below)) | Available | N285 | |||
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INPS LIBRARY | INPS | 570.15195 RAO (Browse shelf(Opens below)) | Available | N286 | |||
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INPS LIBRARY | INPS | 570.15195 RAO (Browse shelf(Opens below)) | Available | N287 |
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570.15195 RAO Biostatistics for Pharmacy Students | 570.15195 RAO Biostatistics for Pharmacy Students | 570.15195 RAO Biostatistics for Pharmacy Students | 570.15195 RAO Biostatistics for Pharmacy Students | 570.15195 RAO Biostatistics for Pharmacy Students | 571.3 DUb Quick Review Anatomy | 571.3 DUb Quick Review Anatomy |
Description
The book ‘Biostatistics for Pharmacy Students’ is a good book for having practical aspects about the subject. This book generally focuses on the subjects of statistical methods, biostatistics, research methodology, experimental designs, probability, causal associations, sampling techniques, epidemiological studies, data collection, interpretation, diagrammatic representation, and analysis, tests of significance, correlation, regression, modeling, statistical process control, information resources, expression of diseases and deaths, practical application of statistical concepts, etc. The book has been written keeping in mind the syllabus prescribed by the Pharmacy Council of India, most Universities of Health Sciences, and many Autonomous and Deemed Universities. This book fulfills the lacuna of there being no prescribed statistics book for pharmacy students by an Indian author. This book is useful for the students of of D.Pharm, B.Pharm, and M.Pharm.
Contents
1- Introduction
2- Interpretation of Quantitative data
3- Interpretation of Qualitative data
4- Diagrammatic Representative data
5- Interpretation of Bivariate data
6- parametric tests of significance
7- Non- Parametric tests
8- Research studies
9- Sampling
10- Cohort and case control studies
11-Experimental designs
12- Models
13- Statistical Process control
14- Information resources
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