Biomedical Statistics: A Beginner's Guide

ISBN-13: 9789813292963 / Angielski / Miękka / 2020 / 287 str.

Shakti Kumar Yadav; Sompal Singh; Ruchika Gupta

Spis treści

Section I                Introduction

Chapter 1.             Applications of Statistics

Chapter 2.             Statistical Terms

Descriptive Statistics
• Inferential Statistics

Chapter 3.             Data Types

• Categorical Data
• Numerical Data

Chapter 4.             Data Classification

• Classification of numerical data
• Classification of categorical data

Chapter 5.             Data Presentation

• Pictogram
• Pie Diagram
• Bar diagram
• Line diagram
• Histogram
• Frequency polygon
• Ogive curves
• Scatter Diagram
Regression line
• Box and whiskers plot:

Chapter 6.             Measures of Central Tendency

• Mean
• Median
• Mode

Chapter 7.             Measures of Location

• Percentile
• Decile
• Quartile

Chapter 8.             Measures of Dispersion

• Range
• Interquartile Range
• Coefficient of quartile deviation
• Mean Deviation
• Mean square deviation
• Variance and standard deviation
• Coefficient of variance
• Skewness
• Kurtosis

Chapter 9.             Sampling Methods

• Sampling Process
• Without replacement (WOR) vs with replacement (WR)
• Probability Sampling
• Non-probability sampling

Section II              Tests for Inference

Chapter 10.           Statistical Distribution- Continuous

• Normal distribution
• Standard normal distribution:
• Student t-distribution:
• Chi-square distribution:
• F-distribution:

Chapter 11.           Sampling Distribution and Hypothesis testing

• Confidence interval:
• Difference in means
• Concept of Z-statistics
• Hypothesis Testing:

Chapter 12.           Test of Inference- One Sample or two sample mean

• One sample:
• Two sample:
• Test for homogeneity of variance
• Two small sized sample- Test for inference:
• Test for inference of paired samples:

Chapter 13.           Test for Inference- Multiple sample comparisons

• Concept of sum of squares:
• ANOVA one way
• ANOVA two way

Chapter 14.           Test for Inference- Categorical Data I

• Tabulation of categorical data
• Testing for significance of individual proportion
• Testing for significance of difference between two proportions

Chapter 15.           Test for Inference- Categorical Data II

1xC tables

RxC Table

2x2 table

Chapter 16.           Test for Inference- Correlation and Regression

• Pearson's correlation coefficient
• Test for the significance of r:
• Regression analysis

Chapter 17.           Sample Size Estimation

• Sample size for assessing significance of single mean:
• Sample size for assessing significance of single proportion:
• Sample size for assessing significance of two means:
• Sample size for assessing significance of two proportion:
• Sample size for correlation coefficient:
• Sample size for sensitivity and specificity:
• Sample size for univariate logistic regression:
• Relative risk
• Sample size to assess significance to two incidences in a cohort study
• Sample size for case control and cohort studies:
• Sample size for finite population:

Chapter 18.           Epidemiological Studies

• Cohort Study:
• Case Control Study:
• Sources of errors in epidemiological studies:
• Designing study and writing a study report:

Chapter 19.           Analysis of Diagnostic Test

• Sensitivity (Sn):
• Specificity (Sp):
• Positive predictive value (PPV):
• Negative predictive value (NPV):
• Accuracy:

Section III            Demography and Life Tables

Chapter 20.           Demography

• Utility of demographic data:
• Demographic publications in India are available from:
• Sources of demographic data:
• Stages of life:

Chapter 21.           Measures of Demography

• Measures of Population:
• Measures of fertility and reproduction:
• Measures of Morbidity:
• Measures of Mortality:
• Measures related to population control:
• Measures of health:

Chapter 22.           Infectious Disease Epidemiology

• Primary attack Rate:
• Secondary attack rate (SAR):
• Case fatality rate (CFR):
• Cause specific mortality rate (CSMR):
• Infection rate (IR):

Chapter 23.           Life Tables

Simplified example:

Section IV              Concept of Probability

Chapter 24.           Introduction to Probability

• Axiomatic Approach using set function
• Definitions:
• Theorems of Probability

Chapter 25.           Random Variable and Mathematical Expectation

Chapter 26.           Statistical Distribution- Discrete

Binominal Distribution:

Appendix

Index

O autorze

Dr Shakti Kumar Yadav, MBBS, DCP and DNB Pathology, has been working as a Senior Resident at the Department of Pathology, North Delhi Municipal Corporation Medical College and Hindu Rao Hospital, New Delhi since 2017. He completed his Diploma in Clinical Pathology at Gandhi Medical College, Bhopal followed by DNB in Pathology at Hindu Rao Hospital, New Delhi. He has numerous publications to his credit and has been actively involved in teaching undergraduate and graduate medical and paramedical students.

Dr Sompal Singh, BSc Statistics, MBBS, MD Pathology and MBA (Hospital Administration), has been working as a Senior Specialist at the Department of Pathology, NDMC Medical College and Hindu Rao Hospital since 2005. He completed his MD in Pathology at Maulana Azad Medical College, New Delhi followed by senior residency at the same institute. He has 121 research publications in various national and international journals to his credit, and has also co-authored two books for paramedical students and one for medical undergraduate students. He has a keen interest in teaching, medical education research and breast pathology.

Dr Ruchika Gupta, MBBS, MD (Pathology) and MBA (Hospital Administration), has been working as a Scientist at the Division of Cytopathology, ICMR-National Institute of Cancer Prevention and Research, Noida since 2015. She completed her MD in Pathology at Maulana Azad Medical College, New Delhi followed by a senior residency at AIIMS, New Delhi. She also trained in renal pathology during her stint as a pool officer at AIIMS. She also worked as an Assistant Professor and Head of the Department of Pathology, Chacha Nehru Bal Chikitsalaya, New Delhi for nearly five years. She has 145 publications in various national and international journals to her credit, and has co-authored two books for paramedical students. She has been actively involved in organizing and conducting a series of workshops on cervical cancer screening for pathologists at the NICPR, which have attracted participants from across India and abroad.

Blurb

This book is written in a very easy-to-follow format, and explains the key concepts of biomedical statistics in a lucid yet straightforward manner. It explains how mathematical and statistical tools can be used to find answers to common research questions. In addition, the main text is supplemented by a wealth of solved exercises and illustrative examples to aid in comprehension.

Given its content, the book offers an invaluable quick reference guide for graduating students and can be very helpful in their examination process. At the same time, it represents a handy guide for medical and paramedical teachers, post-graduate medical students, research personnel, biomedical scientists and epidemiologists.