HYBRID EVENT: Join us in person in Singapore or attend virtually from anywhere.

6th Edition of

International Public Health Conference

March 15-17, 2027 | Singapore

Cross-Sectional Study Designs

Cross-Sectional Study Designs

A cross-sectional study is a type of observational study that examines data from a population, or a representative subset, at a particular point in time—that is, cross-sectional data—in the fields of medicine, social science, and biology. It is also referred to as a cross-sectional analysis, a transverse study, or a prevalence study. Cross-sectional studies, which are more common in medical research than case-control studies, aim to provide data on the entire population being studied, as opposed to case-control studies, which typically include only people who have developed a particular condition and compare them with a matched sample—often a very small minority—of the rest of the population. Descriptive studies include cross-sectional investigations. In contrast to case-control studies, they may be used to describe absolute risks and relative risks based on prevalences in addition to the odds ratio.

Committee Members
Speaker at IPHC 2027 - Kenneth R Pelletier

Kenneth R Pelletier

University of California, United States
Speaker at IPHC 2027 - Thomas J Webster

Thomas J Webster

School of Health Sciences and Biomedical Engineering, Hebei University of Technology, Tianjin, China
Speaker at IPHC 2027 - Bernd Blobel

Bernd Blobel

University of Regensburg, Germany
IPHC 2027 Speakers
Speaker at IPHC 2027 - Bernd Blobel

Bernd Blobel

University of Regensburg
Speaker at IPHC 2027 - Iuliana Vintila

Iuliana Vintila

Dunarea de Jos University, Galati
Speaker at IPHC 2027 - Sergey Suchkov

Sergey Suchkov

N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences
Speaker at IPHC 2027 - Wan Rosli Wan Ishak

Wan Rosli Wan Ishak

University Science Malaysia

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