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BIOSTATISTICS AND RESEARCH METHODS IN PHARMACY Pharmacy C479 (4 quarter credits) A Course for Distance Learning Prepared
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Juan Carlos
Abdirazak Moh'med
Francisco C Marques da Silva
joyce mwachilenga
Robert Vogel
Amany Fares
Indranil Saha
This text book is a comprehensive user friendly and easy to read introduction to biostatistics and research methodology meant for undergraduate and postgraduate medical students and allied biomedical sciences (Dental, Nursing, Psychology, Nutrition, MSc and PhD students). Succinct yet thorough, it serves as an outstanding resource for students and health researchers for writing protocol for research projects as well as allows readers to acquire ability to apply appropriate statistical methods to summarize, analyze, and draw conclusions from biological research including data presentation methods. Unique features of the book (2nd Edition): Emphasis on key concepts of data presentation, scales of measurement, measures of central tendency and dispersion, normal distribution, sample size calculation and sampling techniques, probability, sampling variability, null hypothesis, and details on tests of significance, written in lucid language. Numerous examples illustrate the application of each statistical method and further exemplified with tables and diagrams where necessary. Complicated statistical issues such as correlation and regression with their interpretations are dealt with in simplified manner. Theory questions from different university examinations across India at the end of each chapter. Collection of Multiple Choice Questions from different post graduate entrance examinations at the end of each chapter with explanation of the answers. Basic information about writing a research protocol. Useful tool to write the thesis of postgraduate students, project of undergraduate students and other research reports. Some useful tips on publication of research work in journals.
Kattelyne Bien-Aime
Hani Samawi
Devendra pathak pathak
Statistical methods shows entire procedure by which entire behavior of a population are observed in a representing sample from particular population. In wide and singular sense statistics refer to statistical methods. Generally scientists are not following Abstract censuses of populations, they preferred it as sampling. Increased demand in statistics and decreasing cost of statistics are main responsible factors for development of statistics .statistical methods are grouped under two heads statistics as a data, statistics as a Methods. Main originating source of statistics are Government records and Mathematic Therefore sampling and statistical inference are considered essential for required achievement. Making mistake in analytical works used in statistical methods is unavoidable. a important aspect of quality control is detection of random and systematic error . Care should be taken for ERROR, ACCURACY, PRECISION and BIAS in statistical results General principles for the planning of experiments and data visualization. Choice of standard statistical models and methods of statistical inference. (Binomial, Poisson, normal).Application of these models to confidence interval, estimation and parametric hypothesis testing including two-sample situations, the purpose is to compare two (or more) populations with methods using many randomly computer-generated samples are finally introduced for estimating characteristics of a distribution and for statistical respect to their means or variances. (2) Non-parametric inference tests are also described in cases where the data sample distribution is not compatible with standard parametric distributions. (3) Re sampling inference. The following section deals with methods for processing multivariate data. Methods for Dealing with clinical trials are also briefly reviewed.
B Pharm 8th Semester Biostatics and Research Methodology Notes
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Biostatics and Research Methodology Notes pdf
Download Biostatics and Research Methodology Notes pdf for B Pharm 4th Year students. This Pharmacy Biostatics and Research Methodology Notes pdf will clearly give B pharmacy 8th semester students a short overview of all units .
All the Biostatics and Research Methodology Notes pdf available in this website are prepared by the renowned professors from different universities of India .This will help the students to take a good preparation before their final examination.
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Biostatistics and Research Methodology Notes – Bpharm
Free Download Biostatistics and Research Methodology Notes in pdf – Bpharm 8th Semester . High quality, well-structured and Standard Notes.
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Pharmdbm provides standard or well-structured Notes for Bpharm students. The notes are free to download. Each semester notes of Bpharm are available on www.pharmdbm.com.
In this post you can download notes of Biostatistics and Research Methodology (BP801T). All units are available to download for free.
Biostatistics and Research Methodology Notes Unit 1 – 5
Unit – 1.
Introduction: Statistics, Biostatistics, Frequency distribution Measures of central tendency: Mean, Median, Mode- Pharmaceutical examples Measures of dispersion: Dispersion, Range, standard deviation, Pharmaceutical problems Correlation: Definition, Karl Pearson’s coefficient of correlation, Multiple correlation – Pharmaceuticals examples
UNIT – 2
Regression: Curve fitting by the method of least squares, fitting the lines y= a + bx and x = a + by, Multiple regression, standard error of regression– Pharmaceutical Examples Probability: Definition of probability, Binomial distribution, Normal distribution, Poisson’s distribution, properties – problems Sample, Population, large sample, small sample, Null hypothesis, alternative hypothesis, sampling, essence of sampling, types of sampling, Error-I type, Error-II type, Standard error of mean (SEM) – Pharmaceutical examples Parametric test : t-test(Sample, Pooled or Unpaired and Paired) , ANOVA, (One way and Two way), Least Significance difference
UNIT – 3
Non Parametric tests: Wilcoxon Rank Sum Test, Mann-Whitney U test, Kruskal-Wallis test, Friedman Test Introduction to Research: Need for research, Need for design of Experiments, Experiential Design Technique, plagiarism Graphs: Histogram, Pie Chart, Cubic Graph, response surface plot, Counter Plot graph Designing the methodology: Sample size determination and Power of a study, Report writing and presentation of data, Protocol, Cohorts studies, Observational studies, Experimental studies, Designing clinical trial, various phases.
UNIT – 4
Blocking and confounding system for Two-level factorials Regression modeling: Hypothesis testing in Simple and Multiple regressionmodels Introduction to Practical components of Industrial and Clinical Trials Problems: Statistical Analysis Using Excel, SPSS, MINITAB®, DESIGN OF EXPERIMENTS, R – Online Statistical Software’s to Industrial and Clinical trial approach
UNIT – 5
Design and Analysis of experiments: Factorial Design: Definition, 22, 23design. Advantage of factorial design Response Surface methodology: Central composite design, Historical design, Optimization Techniques
Bpharm 8th Semester Notes
Biostatistics & Research Methodology
Social & Preventive Pharmacy
Pharma Marketing Management
Pharmaceutical Regulatory Science
Pharmacovigilance
Quality Control & Standardization of Herbals
Computer Aided Drug Design
Cell & Molecular Biology
Cosmetic Science
Pharmacological Screening Methods
Advanced Instrumentation Techniques
Dietary Supplements & Neutraceuticals
Scope of Biostatistics and Research Methodology
To understand the applications of Biostatics in Pharmacy. This subject deals with descriptive statistics, Graphics, Correlation, Regression, logistic regression Probability theory, Sampling technique, Parametric tests, Non Parametric tests, ANOVA, Introduction to Design of Experiments, Phases of Clinical trials and Observational and Experimental studies, SPSS, R and MINITAB statistical software’s, analyzing the statistical data using Excel.
Objectives of Biostatistics and Research Methodology
Upon completion of the course the student shall be able to
- Know the operation of M.S. Excel, SPSS, R and MINITAB®, DoE (Design of Experiment).
- Know the various statistical techniques to solve statistical problems.
- Appreciate statistical techniques in solving the problems.
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Biostatistics And Research Methodology
Introduction: Statistics, Biostatistics, Frequency distribution Measures of central tendency: Mean, Median, Mode- Pharmaceutical examples Measures of dispersion: Dispersion, Range, standard deviation, Pharmaceutical problems Correlation: Definition, Karl Pearson’s coefficient of correlation, Multiple correlation - Pharmaceuticals examples
Regression: Curve fitting by the method of least squares, fitting the lines y= a + bx and x = a + by, Multiple regression, standard error of regression - Pharmaceutical Examples Probability: Definition of probability, Binomial distribution, Normal distribution, Poisson’s distribution, properties - problems Sample, Population, large sample, small sample, Null hypothesis, alternative hypothesis, sampling, essence of sampling, types of sampling, Error-I type, Error-II type, Standard error of mean (SEM) - Pharmaceutical examples Parametric test: t-test(Sample, Pooled or Unpaired and Paired) , ANOVA, (One way and Two way), Least Significance difference
Non Parametric tests: Wilcoxon Rank Sum Test, Mann-Whitney U test, Kruskal-Wallis test, Friedman Test Introduction to Research: Need for research, Need for design of Experiments, Experiential Design Technique, plagiarism Graphs: Histogram, Pie Chart, Cubic Graph, response surface plot, Counter Plot graph Designing the methodology: Sample size determination and Power of a study, Report writing and presentation of data, Protocol, Cohorts studies, Observational studies, Experimental studies, Designing clinical trial, various phases.
Blocking and confounding system for Two-level factorials Regression modeling: Hypothesis testing in Simple and Multiple regressionmodels Introduction to Practical components of Industrial and Clinical Trials Problems: Statistical Analysis Using Excel, SPSS, MINITAB®, DESIGN OF EXPERIMENTS, R - Online Statistical Software’s to Industrial and Clinical trial approach
Design and Analysis of experiments: Factorial Design: Definition, 2², 2³ design. Advantage of factorial design Response Surface methodology: Central composite design, Historical design, Optimization Techniques
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Biostatisitcs And Research Methodology 8 Semester Notes
BP801T. BIOSTATISTICS AND RESEARCH METHODOLOGY (Theory)
Scope : To understand the applications of Biostatics in Pharmacy. This subject deals with descriptive statistics, Graphics, Correlation, Regression, logistic regression Probability theory, Sampling technique, Parametric tests, Non Parametric tests, ANOVA, Introduction to Design of Experiments, Phases of Clinical trials and Observational and Experimental studies, SPSS, R, and MINITAB statistical software, analyzing the statistical data using Excel.
Objectives: Upon completion of the course the student shall be able to
- Know the operation of M.S. Excel, SPSS, R and MINITAB®, DoE (Design of experiment)
- Appreciate statistical techniques in solving problems. Course content:
All unit 1 All unit 2
Unit-i .
Measures of central tendency: Mean, Median, Mode- Pharmaceutical examples
Measures of dispersion: Dispersion, Range, standard deviation, Pharmaceutical problems
Correlation: Definition, Karl Pearson’s coefficient of correlation, Multiple correlation Pharmaceuticals examples
Probability: Definition of probability, Binomial distribution, Normal distribution, Poisson’s distribution, properties - problems Sample, Population, large sample, small sample, Null hypothesis, alternative hypothesis, sampling, the essence of sampling, types of sampling, Error-I type, Error-II type, Standard the error of the mean (SEM) - Pharmaceutical examples
Parametric test: t-test(Sample, Pooled or Unpaired and Paired) , ANOVA, (One way and Two way), Least Significance difference
Introduction to Research: Need for research, Need for the design of Experiments, Experiential Design Technique, plagiarism
Graphs: Histogram, Pie Chart, Cubic Graph, response surface plot, Counter Plot graph
Designing the methodology: Sample size determination and power of a study, Report writing and presentation of data, Protocol, Cohorts studies, Observational studies, Experimental studies, Designing clinical trial, various phases.
Blocking and confounding system for Two-level factorials
Regression modeling: Hypothesis testing in Simple and Multiple regression models
Introduction to Practical components of Industrial and Clinical Trials Problems: Statistical Analysis Using Excel, SPSS, MINITAB®, DESIGN OF EXPERIMENTS, R - Online Statistical Software’s to Industrial and Clinical trial approach
Factorial Design: Definition, 22, 23design. Advantage of factorial design
Response Surface Methodology: Central composite design, Historical design, Optimization Techniques
Recommended Books (Latest edition):
1. Pharmaceutical statistics- Practical and clinical applications, Sanford Bolton, publisher Marcel Dekker Inc. NewYork.
2. Fundamental of Statistics – Himalaya Publishing House- S.C.Guptha
3. Design and Analysis of Experiments –PHI Learning Private Limited, R. Pannerselvam,
4. Design and Analysis of Experiments – Wiley Students Edition, Douglas and C. Montgomery
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Biostatistics and Research Methodology Notes / MCQs / PPT / PDF
Hand written notes of biostatistics and research methodology, ppt / pdf of biostatistics and research methodology, upload my notes on remix education.
This web Page offers comprehensive and easy-to-understand notes on Biostatistics and research methodology. The notes cover a wide range of topics related to the design, analysis, and interpretation of medical research. The site provides users with a platform to download and access notes on descriptive and inferential statistics, probability, hypothesis testing, regression analysis, and much more. These notes cater to students, researchers, and healthcare professionals interested in understanding the applications of Biostatistics in their field. The material is presented in a user-friendly format, making it easy for learners to comprehend complex concepts. The site also features valuable tips and tricks, case studies, and examples that help users apply the concepts to real-world scenarios. In short, this is the go-to site for anyone looking to improve their understanding of Biostatistics and research methodology.
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Biostatistics and Research Methodology – B. Pharma 8th Semester Notes Pdf
Biostatistics and research methodology – b. pharma 8th semester notes pdf.
Scope: To understand the applications of Biostatistics and Research Methodology in Pharmacy. This subject deals with descriptive statistics, Graphics, Correlation, Regression, logistic regression Probability theory, Sampling technique, Parametric tests, Non Parametric tests, ANOVA, Introduction to Design of Experiments, Phases of Clinical trials and Observational and Experimental studies, SPSS, R and MINITAB statistical software’s, analyzing the statistical data using Excel.
Objectives: Upon completion of the course the student shall be able to
• Know the operation of M.S. Excel, SPSS, R and MINITAB®, DoE (Design of Experiment)
• Know the various statistical techniques to solve statistical problems
• Appreciate statistical techniques in solving the problems.
Course content:
Biostatistics and Research Methodology Unit-I
Introduction: Statistics, Biostatistics, Frequency distribution
Measures of central tendency: Mean, Median, Mode- Pharmaceutical examples Measures of dispersion: Dispersion, Range, standard deviation, Pharmaceutical problems
Correlation: Definition, Karl Pearson’s coefficient of correlation, Multiple correlation – Pharmaceuticals examples
Biostatistics and Research Methodology Unit-II
Regression: Curve fitting by the method of least squares, fitting the lines y= a + bx and x = a +by, Multiple regression, standard error of regression– Pharmaceutical Examples
Probability: Definition of probability, Binomial distribution, Normal distribution, Poisson’s distribution, properties – problems
Sample, Population, large sample, small sample, Null hypothesis, alternative hypothesis, sampling, essence of sampling, types of sampling, Error-I type, Error-II t ype, Standard error of mean (SEM) – Pharmaceutical examples
Parametric test: t-test (Sample, Pooled or Unpaired and Paired) , ANOVA, (One way and Two way), Least Significance difference
Biostatistics and Research Methodology Unit-III
Non Parametric tests: Wilcoxon Rank Sum Test, Mann-Whitney U test, Kruskal-Wallis test, Friedman Test
Introduction to Research: Need for research, Need for design of Experiments, Experiential Design Technique, plagiarism
Graphs: Histogram, Pie Chart, Cubic Graph, response surface plot, Counter Plot graph Designing the methodology: Sample size determination and Power of a study, Report writing and presentation of data, Protocol, Cohorts studies, Observational studies, Experimental studies, Designing clinical trial, various phases.
Biostatistics and Research Methodology Unit-IV
Blocking and confounding system for Two-level factorials
Regression modeling: Hypothesis testing in Simple and Multiple regressionmodels Introduction to Practical components of Industrial and Clinical Trials Problems: Statistical Analysis Using Excel, SPSS, MINITAB®, DESIGN OF EXPERIMENTS, R – Online Statistical Software’s to Industrial and Clinical trial approach
Biostatistics and Research Methodology Unit-V
Design and Analysis of experiments:
Factorial Design: Definition, 22, 23design. Advantage of factorial design
Response Surface methodology: Central composite design, Historical design, Optimization Techniques
Biostatistics and Research Methodology Recommended Books (Latest edition):
1. Pharmaceutical statistics- Practical and clinical applications, Sanford Bolton, publisher Marcel Dekker Inc. NewYork.
2. Fundamental of Statistics – Himalaya Publishing House- S.C.Guptha
3. Design and Analysis of Experiments –PHI Learning Private Limited, R. Pannerselvam,
4. Design and Analysis of Experiments – Wiley Students Edition, Douglas and C. Montgomery
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Pharm D 4th Year Biostatistics & Research Methodology Unit 2 PDF Notes
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Unveiling the secrets within pharmaceutical data is where the power of biostatistics lies. Dive deeper into this crucial field with our comprehensive Pharm D 4th Year Biostatistics & Research Methodology Unit 2 PDF Notes. This invaluable resource delves into the core principles of statistical analysis, equipping you with the tools to interpret and draw meaningful conclusions from the numerical language of drug research. Master the art of data visualization, hypothesis testing, and statistical tests, all while gaining the confidence to analyze and interpret research findings with precision. Whether you're a Pharm D student eager to solidify your quantitative skills or a seasoned professional seeking to refine your statistical expertise, this Pharm D 4th Year Biostatistics & Research Methodology Unit 2 PDF Notes guide is your roadmap to navigating the intricate world of biostatistics in pharmaceutical research.
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ESSENTIALS OF BIOSTATISTICS & RESEARCH METHODOLOGY - 3rd Edition. October 2020. Edition: Third Edition. Publisher: Academic Publishers. ISBN: 9789387162662. Authors: Indranil Saha. ICMR-Centre for ...
Unique features of 3rd Edition: This book unveils - • All the facets of research process i.e. from protocol development to publication technicalities • How to conduct literature search using search engines • Details of different research designs and methods of data collection • Description of data presentation methods, scales of ...
Essentials of Research Methodology and Biostatistics—A Comprehensive Guide for Health Care Professionals is a precisely written textbook 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 ...
Terms in Biostatistics •Data : -all the information we collect to answer the research question •Variables : -Outcome, treatment, study population characteristics •Subjects : -units on which characteristics are measured • Observations : -data elements •Population : -all the subjects of interest •Sample :
The power of a test tells us how likely we are to find a significant difference given that the alternative hypothesis is true, i.e. given that the true mean is different from 0. If the power is too low, then we have little chance of finding a significant difference even if the true mean is not equal to 0.
This text book is a comprehensive user friendly and easy to read introduction to biostatistics and research methodology meant for undergraduate and postgraduate medical students and allied biomedical sciences (Dental, Nursing, Psychology, Nutrition, MSc and PhD students).
For the above example, X N ; 1=25 : If the null hypothesis is true, then. X. N 98:6; 1=25 : Hypothesis testing for the population mean. In reality, we have one value, x, for the sample mean. We can use this value to quantify the evidence of departure from the null hypothesis. Suppose that from our sample of 25 people we sample mean is x = 98:4.
Books. INTRODUCTION TO BIOSTATISTICS AND RESEARCH METHODS. P. S. S. SUNDAR RAO, J. RICHARD. PHI Learning Pvt. Ltd., Jan 9, 2012 - Medical - 280 pages. The last decade has produced many textbooks on Biostatistics, with varying emphasis and degrees of mathematical complexity. This book has stood the test of time and continues to enjoy wide ...
This Pharmacy Biostatics and Research Methodology Notes pdf will clearly give B pharmacy 8th semester students a short overview of all units . All the Biostatics and Research Methodology Notes pdf available in this website are prepared by the renowned professors from different universities of India .This will help the students to take a good ...
Pharmdbm provides standard or well-structured Notes for Bpharm students. The notes are free to download. Each semester notes of Bpharm are available on www.pharmdbm.com. In this post you can download notes of Biostatistics and Research Methodology (BP801T). All units are available to download for free.
In the notes from Biostatistics and Research Methodology, we have provided two types of notes, including Handwritten notes as well as Standard notes.. Biostatistics And Research Methodology notes will cover graphs as well as descriptive statistics correlation. the theory behind regression in logistic regression, Sampling method Parametric tests non-Parametric tests ANOVA An Introduction to ...
Unit 5. Design and Analysis of experiments: Factorial Design: Definition, 2², 2³ design. Advantage of factorial design. Response Surface methodology: Central composite design, Historical design, Optimization Techniques. Open Unit. Free B Pharmacy Handwritten Notes for Biostatistics And Research Methodology - 8th Semester - Carewell Pharma.
Introduction to Research: Need for research, Need for design of Experiments, Experiential Design Technique, plagiarism Graphs: Histogram, Pie Chart, Cubic Graph, response surface plot, Counter Plot graph Designing the methodology: Sample size determination and Power of a study, Report writing and presentation of data, Protocol, Cohorts studies, Observational studies,
Biostatistics and Research Methodology (Thakur Publication) - Free download as PDF File (.pdf) or view presentation slides online. Scribd is the world's largest social reading and publishing site.
BP801T. BIOSTATISTICS AND RESEARCH METHODOLOGY (Theory) Scope: To understand the applications of Biostatics in Pharmacy.This subject deals with descriptive statistics, Graphics, Correlation, Regression, logistic regression Probability theory, Sampling technique, Parametric tests, Non Parametric tests, ANOVA, Introduction to Design of Experiments, Phases of Clinical trials and Observational and ...
The notes cover a wide range of topics related to the design, analysis, and interpretation of medical research. The site provides users with a platform to download and access notes on descriptive and inferential statistics, probability, hypothesis testing, regression analysis, and much more. These notes cater to students, researchers, and ...
Scope: To understand the applications of Biostatistics and Research Methodology in Pharmacy. This subject deals with descriptive statistics, Graphics, Correlation, Regression, logistic regression Probability theory, Sampling technique, Parametric tests, Non Parametric tests, ANOVA, Introduction to Design of Experiments, Phases of Clinical trials and Observational and Experimental studies, SPSS ...
4 Pharm D & 1 PB | QP CODE: 2870 /2886 - Biostatistics & Research Methodology Page 1 of 10 Question Bank Unit 1 - Research Methodology Long Essay 10 M 1. Describe briefly the different interventional study designs. ... Write notes on a) randomization, b) objectives c) direct and surrogate end point in ... Displaying Biostatistics & Research ...
B-Pharmers, get ready to explore beyond traditional statistics in B Pharm Biostatistics and Research Methodology Unit 3 PDF Notes: Non-Parametric Tests & Research Design! Buckle up as we delve into Wilcoxon, Mann-Whitney, Kruskal-Wallis, and Friedman tests, powerful tools for analyzing data that doesn't fit the "normal" mold.
B-Pharmers, delve into the advanced tools of data analysis in B Pharm Biostatistics and Research Methodology Unit 4 PDF Notes! Buckle up as we explore blocking and confounding techniques, ensuring your experiments are designed to draw clear conclusions and avoid misleading results. Imagine controlling for external factors and isolating the true effects of your variables like a pro.
Unveiling the secrets within pharmaceutical data is where the power of biostatistics lies. Dive deeper into this crucial field with our comprehensive Pharm D 4th Year Biostatistics & Research Methodology Unit 2 PDF Notes. This invaluable resource delves into the core principles of statistical analysis, equipping you with the tools to interpret and draw meaningful conclusions from the numerical ...