Distributing since 1889 • Employee Owned for Better Service
Your 1st Choice!
Sign In
Quick Search:
Cart
|
My Account
|
Print
Ordering
Advanced Search
Fast Order Entry
Express Order Entry
Can't Find Title?
Shopping Cart
Lists
New Receipts
Recall Information
Forthcoming Titles
Latest Price Changes
Downloads
About Us
Home Page
About Matthews
Return Policy
New Account Application
Publisher List
McCoy Medical
Med-Book
Contact Us
Job Opportunities
FAQ
Terms of Use
Product Detail
Applied Biostatistical Principles and Concepts: Clinicians' Guide to Data Analysis and Interpretation
Holmes, Laurens Jr., MD
Pricing & Availability
Available: 0
List Price:$180.00
Email this title to a friend
Printer friendly version
Other formats:
E E Book + ProQuest Ebook Central
All Formats
Book Information
Edition:
1st
Publisher:
Routledge Publishers
ISBN:
1-4987-4119-3 (1498741193)
ISBN-13:
978-1-4987-4119-4 (9781498741194)
New Edition:
0-367-56007-0
Binding:
Hardcover
Copyright:
2018
Publish Date:
11/17
Weight:
1.29 Lbs.
Pages:
288
Subject Class:
PUB (Public Health)
Remarks:
A New Edition of this Title is Available
Return Policy:
Returns accepted up to 90 days provided no other recalls or return restrictions apply.
Contributing Authors:
View
ProQuest Ebook Central:
Available in ProQuest Ebook Centralâ„¢
View
Class Specifications
Discipline:
Public Health
Subject Definition:
Biometry; Research Design; Biostatistics
NLM Class:
WA 950
LC Class:
R853
Abstract:
The past three decades have witnessed modern advances in statistical modeling and evidence discovery in biomedical, clinical, and population-based research. With these advances come the challenges in accurate model stipulation and application of models in scientific evidence discoveryApplied Biostatistical Principles and Concepts provides practical knowledge using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics in attempt to improve the health of patients and populations. This book is suitable for both clinicians and health or biological sciences students. It presents the reality in statistical modelling of health research data in a concise manner that will address the issue of big data type I error tolerance and probability value, effect size and confidence interval for precision, effect measure modification and interaction as well as confounders, thus allowing for more valid inferences and yielding results that are more reliable, valid and accurate.
Follow Matthews Book Co. on:
Copyright © 2001-2024 Matthews Book Company - All rights reserved. - 11559 Rock Island Ct., Maryland Heights, MO, 63043 - (800) MED-BOOK
Matthews
Privacy Statement