Statistics for Dental Clinicians (Original PDF from Publisher)
By Olivia Urquhart , Alonso Carrasco-Labra and Michael Glick
DATA FOR DENTISTRY PRACTICISTS
helps dentists comprehend the relationship between and applications of biostatistics to dental clinical practice Dental professionals can better grasp and analyze scientific material and apply concepts to their clinical practice by using Statistics for Dental Clinicians .
The book illustrates how statistics can guide clinical practice by breaking down intricate statistical and study design concepts in simple , understandable language . The fundamentals of statistics are covered in chapters , along with clinical study designs , statistical principles for both descriptive and inferential analysis and how to interpret study results by distinguishing between statistical and clinical significance . To enhance reader comprehension , a comprehensive lexicon of statistical words, together with graphs , figures , tables and images , are included throughout . Every chapter is accompanied by chosen readings.
Data on the following is included in Statistics for Dental Clinicians :
How to comprehend and analyze the statistical ideas that underpin evidence-based dentistry as well as the scientific terminology used in the biomedical literature What are statistics , why are they important and how can study results be used to clinical practice ?
Comprehending and evaluating survival analyses , regression modeling , p-values , confidence intervals , sample sizes , correlations , standard deviations , standard errors and patient-reported outcome measures Knowing and evaluating randomised controlled trials , cohort studies , case-control studies , cross-sectional studies , meta-analysis , bias and confounding , in addition to absolute hazards , relative risks and odds ratios Statistics for Dental Clinicians is an indispensable resource for any dental professional looking to enhance their comprehension of the biomedical literature . It covers a wide range of topics in detail, is written in an approachable manner and sheds light on statistical complexities that are frequently present in writings pertaining to clinical topics.
Reviews
There are no reviews yet.