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Exercises in epidemiology : applying principles and methods

Weiss, Noel S.

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تحویل فوری
پرداخت امن
ضمانت فایل
پشتیبانی

مشخصات کتاب

نویسنده
Weiss, Noel S.
سال انتشار
۲۰۱۷
فرمت
PDF
زبان
انگلیسی
حجم فایل
۱٫۰ مگابایت
شابک
9780190651510، 9780190651527، 9780190651534، 9780190651541، 0190651512، 0190651520، 0190651539، 0190651547

دربارهٔ کتاب

Traditional epidemiology coursework is centered on the design and analysis of disease control. This important knowledge forms the backbone of what epidemiology is, but it can sometimes become a rote exercise in calculations rather than what it can and should be--training in thinking like an epidemiologist. EXERCISES IN EPIDEMIOLOGY enriches the core epidemiology coursework with a set of living, breathing problems from the real-world epidemiology literature. Comprising nearly 200 questions and answers drawn from published studies, this one-of-a-kind text allows students in epidemiology and public health to cultivate their skills in a real-world context while familiarizing themselves with core epidemiologic principles: rates and proportions, causal inference, and confounding. Answers to every question, along with each step in the reasoning that supports them, are included so that students can compare notes with a senior epidemiologist. With its practical, analytically sophisticated approach to this vital subject matter, EXERCISES IN EPIDEMIOLOGY prepares readers to make the transition from student to professional like no other text. Title Pages 1 Introduction 4 Rates and Proportions 6 Causal Inference 28 Confounding 44 Cohort Studies 80 Case-Control Studies 101 Multiple Causal Pathways and Effect Modification 120 Screening 157 References 180 Exercises,in,Epidemiology:,Applying,Principles,and,Methods This work offers an opportunity for students of epidemiology to practice using the principles and methods they have been taught. In so doing, they should be better equipped to deal with real-world problems they will encounter outside the classroom [Contents] Rates and proportions. - Causal inference. – Confounding. - Cohort studies. - Case-control studies. - Multiple causal pathways and effect modification. - Screening.

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