Book description
A new edition of the classic guide to the use of statistics in
medicine, featuring examples from articles in the New England
Journal of Medicine
Medical Uses of Statistics has served as one of the most
influential works on the subject for physicians,
physicians-in-training, and a myriad of healthcare experts who need a
clear idea of the proper application of statistical techniques in
clinical studies as well as the implications of their interpretation
for clinical practice. This Third Edition maintains the focus
on the critical ideas, rather than the mechanics, to give
practitioners and students the resources they need to understand the
statistical methods they encounter in modern medical literature.
Bringing together contributions from more than two dozen
distinguished statisticians and medical doctors, this volume stresses
the underlying concepts in areas such as randomized trials, survival
analysis, genetics, linear regression, meta-analysis, and risk
analysis. The Third Edition includes:
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Numerous examples based on studies taken directly from the pages
of the
New England Journal of Medicine
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Two added chapters on statistics in genetics
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Two new chapters on the application of statistical methods to
studies in epidemiology
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New chapters on analyses of randomized trials, linear regression,
categorical data analysis, meta-analysis, subgroup analyses, and
risk analysis
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Updated chapters on statistical thinking, crossover designs,
p-values, survival analysis, and reporting research results
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A focus on helping readers to critically interpret published
results of clinical research
Medical Uses of Statistics, Third Edition is a valuable
resource for researchers and physicians working in any health-related
field. It is also an excellent supplemental book for courses on
medicine, biostatistics, and clinical research at the
upper-undergraduate and graduate levels.
You can also visit the New England
Journal of Medicine website for related information.
JOHN C. BAILAR III, MD, PhD
, is Scholar in Residence at the National Academy of Sciences and
Professor Emeritus at the University of Chicago. He served as
statistical consultant for the
New England Journal of Medicine
for more than ten years and was chairman of the board of the National
Institute of Statistical Sciences. Dr. Bailar has published numerous
papers in the areas of epidemiology and scientific communications.
DAVID C. HOAGLIN, PhD, is Principal Statistician at Abt
Bio-Pharma Solutions, Inc., a global provider of integrated clinical,
health economic, and commercialization solutions for the
pharmaceutical, biotech, and medical device and diagnostics
industries. In thirty years with Abt Associates Inc., he worked on
studies and experiments in public health, income security, health
services, housing, education, and law and justice. He has held faculty
and research positions in statistics at Harvard University and also
served for five years as core biostatistician for the Harvard
Anesthesia Research Center. Dr. Hoaglin has published papers in
exploratory data analysis, outliers, meta-analysis, surgery,
anesthsesia, vaccination, and multiple sclerosis.
