|
Titre :
|
Practical biostatistics : a user-friendly approach for evidence-based medicine
|
|
Auteurs :
|
Suchmacher, Mendel, Auteur ;
Geller, Mauro, Fonction indéterminée
|
|
Type de document :
|
texte imprimé
|
|
Mention d'édition :
|
2e éd.
|
|
Editeur :
|
San Diego : Academic press, 2021
|
|
ISBN/ISSN/EAN :
|
978-0-323-90102-4
|
|
Format :
|
193 p. / ill. / 24 cm
|
|
Note générale :
|
Glossary p. 183-186;Index p. 187-193
|
|
Langues:
|
Français
|
|
Index. décimale :
|
570.151 95 - Biologie - Statistique mathématique
|
|
Mots-clés:
|
Biométrie
;
Médecine factuelle : Dissertation universitaire
;
Médecine clinique : Dissertation universitaire
;
Essais contrôlés randomisés comme sujet : Dissertation universitaire
;
Déontologie médicale : Dissertation universitaire
|
|
Résumé :
|
Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine, Second Edition presents a complete resource of biostatistical knowledge meant for health sciences students, researchers and health care professionals. The book's content covers the investigator’s hypothesis, collective health, observational studies, the biostatistics of intervention studies, clinical trials and additional concepts. Chapters are written in a didactic way, making them easier to comprehend by readers with little or no background on statistics. Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision-making using statistical analyses of scientific methods and outcomes to drive further experimentation and diagnosis. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or hands-on guide on how to effectively incorporate biostatistics in clinical trials and research projects. Explains biostatistics in a didactic way for students, researchers and professionals of health sciences with little or no background on mathematics Presents a new section dedicated to epidemiology and public health, broadening content from the previous edition Written by medical doctors with vast experience on biostatistics and teaching who develop the content based on real cases for better applicability by readers
|
