Calculating sample size for reliability studies.

PM R

Department of Epidemiology and Population Health, Stanford University, Stanford, California, USA.

Published: August 2022

Download full-text PDF

Source
http://dx.doi.org/10.1002/pmrj.12850DOI Listing

Publication Analysis

Top Keywords

calculating sample
4
sample size
4
size reliability
4
reliability studies
4
calculating
1
size
1
reliability
1
studies
1

Similar Publications

Increasing incidence of is driven by people living with HIV and PrEP users.

Int J STD AIDS

January 2025

Department of Infectious Diseases, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Background: (MG) is responsible for non-gonococcal urethritis. Our aim is to describe MG positivity rate and incidence in specific populations.

Methods: Retrospective, surveillance study included all samples collected from 2018 to 2022.

View Article and Find Full Text PDF

Background: Per- and polyfluoroalkyl substances (PFAS) comprise thousands of fluorinated chemicals. They are of growing concern because many PFAS compounds are persistent and toxic. Food contact materials (FCM) containing PFAS pose multiple exposure pathways to humans, prompting twelve states to enact laws banning FCM with PFAS levels exceeding 100 ppm of TOF.

View Article and Find Full Text PDF

Background: Cardiovascular diseases (CVDs) are the leading cause of death globally. Demographic, behavioral, socioeconomic, health care, and psychosocial variables considered risk factors for CVD are routinely measured in population health surveys, providing opportunities to examine health transitions. Studying the drivers of health transitions in countries where multiple burdens of disease persist (eg, South Africa), compared with countries regarded as models of "epidemiologic transition" (eg, England), can provide knowledge on where best to intervene and direct resources to reduce the disease burden.

View Article and Find Full Text PDF

Objectives: This study aimed to determine the metabolic syndrome (MS) prevalence in a sample of adolescents, to calculate their continuous metabolic syndrome scores, and to determine the associations of continuous metabolic syndrome score with overweight/obesity and selected cardiometabolic and lifestyle factors.

Methods: We enrolled a sample of 2,590 adolescents (1,180 males, mean age 17.1 ± 1.

View Article and Find Full Text PDF

Objectives: To examine the relationship of ophthalmic artery (OA) Doppler indices with uterine artery (UtA) Doppler indices, selected maternal hemodynamic parameters and gestational age, and to evaluate the intraobserver reproducibility of OA Doppler indices.

Methods: This was a prospective cohort study of women recruited between 11 + 0 and 23 + 6 weeks' gestation using a stratified and random sampling approach to ensure adequate distribution across the gestational-age range. OA pulsatility index (PI), first peak systolic velocity (PSV1), second peak systolic velocity (PSV2) and peak systolic velocity ratio (PSV ratio), calculated as PSV2/PSV1, were measured twice in each eye by the same observer.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!