Empowering dental practitioners with the ability to decipher and apply scientific literature, Statistics for Dental Clinicians serves as a pivotal resource for bridging statistical concepts with clinical practice. Employing a lucid and comprehensible writing style, this book dismantles intricate statistical and study design principles, showcasing how statistics can be harnessed to enrich clinical decision-making.
Inside its chapters lie the foundational elements of statistics, encompassing clinical study designs, both descriptive and inferential statistical notions, and the art of interpreting study outcomes, including the art of distinguishing between clinical and statistical significance. A copious glossary of statistical terminology, coupled with an array of graphs, figures, tables, and visual aids, has been thoughtfully integrated to enhance reader grasp. Accompanying each chapter, carefully selected readings further amplify the learning experience.
Statistics for Dental Clinicians provides insight into:
Decoding the scientific language pervasive in biomedical literature and the bedrock statistical principles underpinning evidence-based dentistry.
Unveiling the essence of statistics, its indispensability, and the judicious application of study findings in the realm of clinical practice.
Interpreting and comprehending standard deviations, standard errors, p-values, confidence intervals, sample sizes, correlations, survival analyses, probabilistic-based diagnosis, regression modeling, and patient-reported outcome measures.
Navigating the realms of absolute risks, relative risks and odds ratios, alongside discerning randomized controlled trials, cohort studies, case-control studies, cross-sectional studies, meta-analyses, bias, and confounding factors.
Encompassing a broad spectrum of knowledge, delivered in a language that unravels the intricacies often associated with clinical discourse, Statistics for Dental Clinicians stands as an indispensable companion for any dental professional keen on augmenting their grasp of biomedical literature.
