Effect Measures in Prevalence Studies

Effect Measures in Prevalence Studies

There is still considerable confusion and debate about the appropriate methods for analyzing prevalence studies, and a number of recent papers have argued that prevalence ratios are the preferred method and that prevalence odds ratios should not be used. These arguments assert that the prevalence ratio is obviously the better measure and the odds ratio is "unintelligible." They have often been ...

Effect size measures and their relationships in stroke studies.

ترجمه بخشی از کتاب "critical readings in translation studies"

چکیده در دنیای پیچیده ی امروز، تغییرات زیادی در زندگی بشری در حال وقوع اند و شاهد رقابت های بسیار فشرده ی جوامع در دستیابی به فناوری برتر و قدرت بیشترهستیم. به نظر می رسد که فرد وجامعه مجبورند به طریقی در وضعیت خویش دگرگونی ایجاد کنند تا از قافله ی علم، فناوری، و پیشرفت عقب نمانند. رشته مطالعات ترجمه نیز از این قاعده مستثنا نیست. علی رغم وسعت روز افزون پژوهش در این حوزه و میان رشته ای بودن مطال...

Invited commentary: repeated measures, selection bias, and effect identification in neighborhood effect studies.

Research on neighborhood effects faces enormous methodological challenges, with selection bias being near the top of the list. In this issue of the Journal (Am J Epidemiol. 2014;180(8):776-784), Professor Jokela addresses this issue with novel repeated measures data and models that decompose putative effects into those within and between persons. His contribution shows that within-person neighb...

Effect of isolation measures on the incidence and prevalence of hepatitis C virus infection in hemodialysis.

BACKGROUND Nosocomial transmission of hepatitis C virus (HCV) in hemodialysis (HD) units is well established. In units with a high prevalence of HCV infection, the implementation of universal precautionary measures may not suffice in order to decrease the incidence and prevalence of HCV. In this setting strict isolation practices can be useful in order to achieve this goal. METHODS The incide...