Scientific Writing Series: Cross-Sectional studies

被引：0

作者：

Quispe, Antonio M. ^{[1
]}

Valentin, Elvis B. ^{[2
]}

Gutierrez, Ana R. ^{[3
]}

Mares, Juan D. ^{[4
]}

机构：

[1] Univ Continental, Huancayo, Peru

[2] Univ Nacl Jose Faustino Sanchez Corrion, Fec Med Humana, Huacho, Peru

[3] Univ Nacl Mayor San Marcos, Fec Med Humana, Lima, Peru

[4] Univ Nacl San Agustin, Fec Med Humana, Arequipa, Peru

来源：

REVISTA DEL CUERPO MEDICO DEL HOSPITAL NACIONAL ALMANZOR AGUINAGA ASENJO | 2020年 / 13卷 / 01期

关键词：

Cross-sectional studies; Epidemiologic Research Design; Bias; Confounding; Software (Source: DeCS-BIREME); BIAS; DESIGNS; RATIO; RISK;

D O I：

暂无

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Cross-sectional studies are characterized by the simultaneous measurement of exposure and the outcome of interest. They are the ideal design to estimate prevalence, analyze the diagnostic accuracy of a test and validate instruments, for which it is essential to control information bias, selection, and confusion either by design or by analysis. It is also crucial to choose the appropriate association measure for each outcome of interest, call the odds ratio for rare events, and the prevalence ratio for frequent events. Finally, for its writing and publication, it is recommended to review the STROBE and STARD guidelines

引用

页码：72 / 77

页数：6

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