Medical Uncertainties
Role of
Biostatistics
Uncertainties in Health and Disease
Uncertainties in Medical Research
Uncertainties in Health Planning and Evaluation
Management of Uncertainties: About This Book
Basics of Medical Studies
Study Protocol
Types of Medical Studies
Data Collection
Nonsampling Errors and Other Biases
Sampling Methods
Sampling Concepts
Common Methods of Random Sampling
Some Other Methods of Sampling
Designs for Observational Studies
Some Basic Concepts
Prospective Studies
Retrospective Studies.
Cross-Sectional Studies
Comparative Performance of Prospective, Retrospective, and
Cross-Sectional Studies
Medical Experiments
Basic Features of Medical Experiments
Design of Experiments
Choice and Sampling of Units for Laboratory Experiments6
Clinical Trials
Therapeutic Trials
Issues in Clinical Trials
Trials Other than Therapeutics
Numerical Methods for Representing Variation
Types of Measurement
Tabular Presentation
Rates and Ratios
Central and Other Locations
Measuring Variability
Presentation of Variation by Figures
Graphs for Frequency Distribution
Pie, Bar, and Line Diagrams
Special Diagrams in Health and Medicine
Charts and Maps
Some Quantitative Aspects of Medicine
Some Epidemiological Measures of Health and Disease
Reference Values
Measurement of Uncertainty: Probability
Validity of Medical Tests
Search for the Best Threshold of Continuous Test: ROC Curve
Clinimetrics and Evidence-Based Medicine
Indicators, Indexes, and Scores
Clinimetrics
Evidence-Based Medicine
Measurement of Community Health
Indicators of Mortality
Measures of Morbidity
Indicators of Social and Mental Health
Composite Indexes of Health
Confidence Intervals, Principles of Tests of Significance,
and Sample Size
Sampling Distributions
Confidence Intervals
P-Values and Statistical Significance
Assessing Gaussian Pattern
Initial Debate on Statistical Significance
Sample Size Determination in Some Cases
Inference from Proportions
One Qualitative Variable
Proportions in 2 x 2 Tables
Analysis of R x C Tables (Large n)
Three-Way Tables
Assessment of Association in Three-Way Tables
Relative Risk and Odds Ratio
Relative and Attributable Risks (Large n)
Odds Ratio
Stratified Analysis, Sample Size, and Meta Analysis
Inference from Means
Comparison of Means in One and Two Groups (Gaussian Conditions):
Student t-Test
Comparison of Means in Three or More Groups (Gaussian Conditions):
ANOVA F-Test
Non-Gaussian Conditions: Nonparametric Tests for Location
When Significant Is Not Significant
Relationships: Quantitative Data
Some General Features of a Regression Setup
Linear Regression Models
Some Issues in Linear Regression
Measuring the Strength of Quantitative Relationship
Assessment of Quantitative Agreement
Relationships: Qualitative Dependent.
Binary Dependent: Logistic Regression (Large n)
Inference from Logistic Coefficients
Issues in Logistic Regression
Some Models for Qualitative Data and Generalizations
Strength of Relationship in Qualitative Variables
Survival Analysis
Life Expectancy
Analysis of Survival Data
Issues in Survival Analysis
Simultaneous Consideration of Several Variables
Scope
of Multivariate Methods
Dependent and Independent Sets of Variables
Identification of Structure in the Observations
Quality Considerations
Statistical Quality Control in Medical Care
Quality of Measurements
Quality of Statistical Models: Robustness
Quality of Data
Statistical Fallacies
Problems with the Sample
Inadequate Analysis
Errors in Presentation of Findings
Misinterpretation
Appendix A: Statistical Software
Appendix B: Some Statistical Tables
Appendix C: Software Illustrations
"… the author has very well succeeded to make this edition more
complete and useful. … the book is clearly written and easy to read
and comprehend the various statistical and methodological issues
and their applicability. … I strongly feel that this book is an
important source to acquire the desired skills regarding
biostatistical applications, with a focus on basic principles,
applications, and interpretation. Also, one may find it equally
helpful in understanding any research article and its critical
appraisal."
—ISCB News, December 2014 "The third edition of Medical
Biostatistics presents an almost complete reference for medical and
biostatistics professionals, covering many topics in introductory
and intermediate biostatistics. … a good resource for an
undergraduate course in biostatistics or related fields. … The
strengths of the book are the examples used throughout and the
comprehensive coverage in terms of number of topics, which makes
the book look like an encyclopedia. It is a great reference for a
researcher in the medical or biostatistics field who is not
concerned about mathematical derivations."
—Morteza Marzjarani, Journal of the American Statistical
Association, March 2014 "With its focus on in-depth medical and
health applications and conceptual understanding of biostatics,
this book is highly recommended to medical and other health science
researchers who desire to better understand medical literature or
for improved interpretation of their results for publications and
presentations. … a worthy reference book that each medical and
health researcher should have a copy of in his or her personal
library. Additionally, with the vast number of real-life
medical-based examples, this book can also serve as useful
supplemental reading for an applied graduate-level course on
medical or health statistics."
—Yongzhao Shao, Journal of Biopharmaceutical Statistics, 24, 2014
"The most impressive feature of the book is its broad scope; it
covers most of the topics that are commonly used in epidemiology
and biostatistics. … a well-written and well-organized book
designed for researchers and professionals in the fields of
medicine and health. … Numerous medical examples will help readers
understand the way statistics is used in medicine."
—Biometrics, December 2013 Praise for the Second Edition:
The 2nd edition contains a number of new, expanded or revised
topics, including full chapters on clinical trials, observational
studies, survival analysis and logistic regression. …The
explanations given are clear and well written. The concepts are
well illustrated with real examples. …this is a comprehensive and
thoughtful introductory book on biostatistics. …
—Andrew Hayen, University of Sydney, Statistics in Medicine, 2010,
29 The book contains a fairly comprehensive introduction of basic
statistical concepts and methods used in medical and health
sciences. The basic idea is to give clear verbal explanations with
good examples, avoiding heavy mathematical definitions or
formulations. My opinion is that the author has succeeded very well
in this challenging task. By the aid of the book, it should be
relatively easy to get the main ideas, and if deeper understanding
is needed, a list of further references is provided to each topic.
… I can easily recommend this book for persons working in the area
of medical biostatistics.
—International Statistical Review, 2009, 77, 2 The strength of this
book is the range of topics, including research design and
statistical methods for data analysis, and the fact that it focuses
on conceptual understanding. The book contains adequate
mathematical explanation, without going beyond the capability or
interest of the intended audience. … contains much useful
information … .
—Marc Levine, University of British Colombia, Canadian Journal of
Hospital Pharmacy, Vol. 61, No. 1, January-February 2008 In
addition to thorough coverage of basic biostatical concepts and
methods, this updated edition of Medical Biostatistics is enhanced
with complete chapters on clinical trials, observational studies,
laboratory experiments, survival analysis, and logistic regression
… Medical Biostatistics is an indispensable textbook and a core
addition to academic library and medical school research and
reference collections.
—James A. Cox, Midwest Book Review, April 2009 Praise for the First
Edition:
The book covers a wealth of information ranging from medical
uncertainties to statistical fallacies. … a tour of the
biostatistical field in clear and intelligent language…
—Journal of the Royal Statistical Society, Vol. 52, 2003 To
clinicians and other medical and health professionals, it will be
of great help in planning and conducting investigational studies
and in critically interpreting the medical literature, which is
becoming increasingly statistical…
—Journal of the American Statistical Association, Vol. 97, 2002
There is plenty of good advice about practical matters of
presentation and interpretation, which, together with the chapter
on statistical fallacies, make the book worthwhile reading for the
user of biostatistics who may need such guidance…
—Australian and New Zealand Journal of Statistics, Vol. 44, 2002
This book contains state-of-the-art statistical methods with
examples and references to planning of medical data collection,
analyzing and interpreting the data…
—Journal of Statistical Computation and Simulation, Vol. 74, 2004
This book is a serious attempt to medicalise the science of
biostatistics and discuss statistical methods entirely from the
perspective of medical and health professionals…
—Resources for Teaching Statistics A very complete book on all
aspects of medical biostatistics: probably the most complete book
on biostatistics we have seen.
—Analyse-it
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