Analytic study

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Analytic Study is a type of scientific research that seeks to understand the causes and effects of specific phenomena by examining existing data or information. It is a key component of epidemiology, statistics, and social sciences.

Definition[edit | edit source]

An analytic study is a detailed examination of the elements or structure of a phenomenon. It involves the use of systematic methods to break down data, ideas, or objects into their constituent parts, and studying how these parts relate to each other and to the whole. This type of study is often used in scientific research to understand the causes and effects of specific phenomena.

Types of Analytic Studies[edit | edit source]

There are several types of analytic studies, including cohort studies, case-control studies, and cross-sectional studies. Each of these types has its own strengths and weaknesses, and the choice of which to use depends on the specific research question being addressed.

Cohort Studies[edit | edit source]

In a cohort study, a group of individuals who share a common characteristic or experience within a defined period are followed over time. This type of study is often used to study the incidence of disease in specific populations.

Case-Control Studies[edit | edit source]

Case-control studies compare individuals who have a specific condition (the cases) with individuals who do not have the condition (the controls). This type of study is often used to identify factors that may contribute to a medical condition by comparing subjects who have that condition with those who do not.

Cross-Sectional Studies[edit | edit source]

A cross-sectional study examines the relationship between diseases (or other health-related characteristics) and other variables of interest in a defined population at one particular time. This type of study differs from case-control studies in that it observes individuals at a single point in time, rather than over a period of time.

Applications[edit | edit source]

Analytic studies are used in a variety of fields, including medicine, public health, psychology, sociology, and economics. They are essential tools for understanding the causes and effects of various phenomena, and for developing effective interventions and policies.

See Also[edit | edit source]

References[edit | edit source]


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