Methodological quality and reporting quality of COVID-19 living systematic review: a cross-sectional studyBMC Medical Research Methodology - Tập 23 - Trang 1-13 - 2023
Jiefeng Luo, Zhe Chen, Dan Liu, Hailong Li, Siyi He, Linan Zeng, Mengting Yang, Zheng Liu, Xue Xiao, Lingli Zhang
The main objective of this study is to evaluate the methodological quality and reporting quality of living systematic reviews (LSRs) on Coronavirus disease 2019 (COVID-19), while the secondary objective is to investigate potential factors that may influence the overall quality of COVID-19 LSRs. Six representative databases, including Medline, Excerpta Medica Database (Embase), Cochrane Library, C...... hiện toàn bộ
Sampling 'hard-to-reach' populations in health research: yield from a study targeting Americans living in CanadaBMC Medical Research Methodology - - 2008
Danielle Southern, Stephen Lewis, Colleen J. Maxwell, James R. Dunn, Tom Noseworthy, Gail Corbett, Karen Thomas, William A. Ghali
Abstract
Background
Some populations targeted in survey research can be hard to reach, either because of lack of contact information, or non-existent databases to inform sampling. Here, we present a methodological "case-report" of the yield of a multi-step survey study assessing views on health c...... hiện toàn bộ
Coding linguistic elements in clinical interactions: a step-by-step guide for analyzing communication formBMC Medical Research Methodology - - 2022
Inge Stortenbeker, Lisa Salm, Tim olde Hartman, Wyke Stommel, Enny Das, Sandra van Dulmen
AbstractBackgroundThe quality of communication between healthcare professionals (HCPs) and patients affects health outcomes. Different coding systems have been developed to unravel the interaction. Most schemes consist of predefined categories that quantify the content of communication (thewhat). Though ...... hiện toàn bộ
oA novel nonparametric approach for estimating cut-offs in continuous risk indicators with application to diabetes epidemiologyBMC Medical Research Methodology - Tập 9 - Trang 1-12 - 2009
Jens Klotsche, Dietmar Ferger, Lars Pieper, Jürgen Rehm, Hans-Ulrich Wittchen
Epidemiological and clinical studies, often including anthropometric measures, have established obesity as a major risk factor for the development of type 2 diabetes. Appropriate cut-off values for anthropometric parameters are necessary for prediction or decision purposes. The cut-off corresponding to the Youden-Index is often applied in epidemiology and biomedical literature for dichotomizing a ...... hiện toàn bộ
A comparison of multiple imputation methods for missing data in longitudinal studiesBMC Medical Research Methodology - Tập 18 - Trang 1-16 - 2018
Md Hamidul Huque, John B. Carlin, Julie A. Simpson, Katherine J. Lee
Multiple imputation (MI) is now widely used to handle missing data in longitudinal studies. Several MI techniques have been proposed to impute incomplete longitudinal covariates, including standard fully conditional specification (FCS-Standard) and joint multivariate normal imputation (JM-MVN), which treat repeated measurements as distinct variables, and various extensions based on generalized lin...... hiện toàn bộ
Prediction intervals for future BMI values of individual children - a non-parametric approach by quantile boostingBMC Medical Research Methodology - Tập 12 - Trang 1-13 - 2012
Andreas Mayr, Torsten Hothorn, Nora Fenske
The construction of prediction intervals (PIs) for future body mass index (BMI) values of individual children based on a recent German birth cohort study with n = 2007 children is problematic for standard parametric approaches, as the BMI distribution in childhood is typically skewed depending on age. We avoid distributional assumptions by directly modelling the borders of PIs by additive quantile...... hiện toàn bộ