BMC Medical Research Methodology

Công bố khoa học tiêu biểu

* Dữ liệu chỉ mang tính chất tham khảo

Sắp xếp:  
Impact of misspecifying the distribution of a prognostic factor on power and sample size for testing treatment interactions in clinical trials
BMC Medical Research Methodology - Tập 13 - Trang 1-18 - 2013
William M Reichmann, Michael P LaValley, David R Gagnon, Elena Losina
Interaction in clinical trials presents challenges for design and appropriate sample size estimation. Here we considered interaction between treatment assignment and a dichotomous prognostic factor with a continuous outcome. Our objectives were to describe differences in power and sample size requirements across alternative distributions of a prognostic factor and magnitudes of the interaction eff...... hiện toàn bộ
Sampling 'hard-to-reach' populations in health research: yield from a study targeting Americans living in Canada
BMC 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 form
BMC 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
A methodological systematic review of meta-ethnography conduct to articulate the complex analytical phases
BMC Medical Research Methodology - - 2019
Emma France, Isabelle Uny, Nicola Ring, Ruth Turley, Margaret Maxwell, Edward Duncan, Ruth Jepson, Rachel J Roberts, Jane Noyes
A comparison of multiple imputation methods for missing data in longitudinal studies
BMC 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
Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendations
BMC Medical Research Methodology - Tập 18 Số 1 - 2018
Monika Mueller, M D’Addario, Matthias Egger, Myriam Cevallos, Olaf M Dekkers, Catrina Mugglin, Pippa Scott
Use of the Oxford Handicap Scale at hospital discharge to predict Glasgow Outcome Scale at 6 months in patients with traumatic brain injury
BMC Medical Research Methodology - - 2008
Pablo Perel, Phil Edwards, Haleema Shakur, Ian Roberts
Results from a blind and a non-blind randomised trial run in parallel: experience from the Estonian Postmenopausal Hormone Therapy (EPHT) Trial
BMC Medical Research Methodology - Tập 12 - Trang 1-11 - 2012
Piret Veerus, Krista Fischer, Matti Hakama, Elina Hemminki
The Estonian Postmenopausal Hormone Therapy (EPHT) Trial assigned 4170 potential participants prior to recruitment to blind or non-blind hormone therapy (HT), with placebo or non-treatment the respective alternatives. Before having to decide on participation, women were told whether they had been randomised to the blind or non-blind trial. Eligible women who were still willing to join the trial we...... hiện toàn bộ
Impact of socioeconomic inequalities on geographic disparities in cancer incidence: comparison of methods for spatial disease mapping
BMC Medical Research Methodology - Tập 16 - Trang 1-14 - 2016
Juste Aristide Goungounga, Jean Gaudart, Marc Colonna, Roch Giorgi
The reliability of spatial statistics is often put into question because real spatial variations may not be found, especially in heterogeneous areas. Our objective was to compare empirically different cluster detection methods. We assessed their ability to find spatial clusters of cancer cases and evaluated the impact of the socioeconomic status (e.g., the Townsend index) on cancer incidence. Mora...... hiện toàn bộ
Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies
BMC Medical Research Methodology - Tập 22 - Trang 1-20 - 2022
Ahmed Elhakeem, Rachael A. Hughes, Kate Tilling, Diana L. Cousminer, Stefan A. Jackowski, Tim J. Cole, Alex S. F. Kwong, Zheyuan Li, Struan F. A. Grant, Adam D. G. Baxter-Jones, Babette S. Zemel, Deborah A. Lawlor
Longitudinal data analysis can improve our understanding of the influences on health trajectories across the life-course. There are a variety of statistical models which can be used, and their fitting and interpretation can be complex, particularly where there is a nonlinear trajectory. Our aim was to provide an accessible guide along with applied examples to using four sophisticated modelling pro...... hiện toàn bộ
Tổng số: 2,295   
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 10