Including uncertainty of the expected mortality rates in the prediction of loss in life expectancy
This study introduces a novel method for estimating the variance of life expectancy since diagnosis (LEC) and loss in life expectancy (LLE) for cancer patients within a relative survival framework in situations w... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - December 12, 2023 Category: Research Authors: Yuliya Leontyeva, Mats Lambe, Hannah Bower, Paul C. Lambert and Therese M.-L. Andersson Tags: Research Source Type: research
Height-for-age and weight-for-age growth charts for Pakistani infants under six months: derived from a novel case selection method using multiple indicator cluster survey data
In the past two decades, there has been a growing recognition of the need to establish indigenous standards or reference growth charts, particularly following the WHO multicenter growth study in 2006. The avai... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - December 8, 2023 Category: Research Authors: Muhammad Aasim and Sohail Chand Tags: Research Source Type: research
Development of an Aboriginal Resilience and Recovery Questionnaire – a collaboration between practitioners and help-seeking clients of a Victorian Aboriginal community controlled health service
Indigenous experiences and perspectives of resilience, healing and recovery from trauma is gaining increasing attention, with a growing qualitative literature that spans multiple indigenous cultural groups. Ho... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - December 8, 2023 Category: Research Authors: Graham Gee, Carol Hulbert, Helen Kennedy, Joanne Dwyer, John Egan, Linda Holmes, Anita Mobourne and Yin Paradies Tags: Research Source Type: research
Attention-based neural networks for clinical prediction modelling on electronic health records
Deep learning models have had a lot of success in various fields. However, on structured data they have struggled. Here we apply four state-of-the-art supervised deep learning models using the attention mechan... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - December 7, 2023 Category: Research Authors: Egill A. Fridgeirsson, David Sontag and Peter Rijnbeek Tags: Research Source Type: research
Competing-risks analysis for evaluating the prognosis of patients with microinvasive cutaneous squamous cell carcinoma based on the SEER database
Utilizing the traditional Cox regression model to identify the factors affecting the risk of mortality due to microinvasive cutaneous squamous cell carcinoma (micSCC) may produce skewed results. Since cause-sp... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - December 7, 2023 Category: Research Authors: Suzheng Zheng, Shuping Xie, Hai Yu, Xi Duan, Yong He, Chichien Ho, Yang Wan, Tie Hang, Wenhui Chen, Jun Lyu and Liehua Deng Tags: Research Source Type: research
On the use of multiple imputation to address data missing by design as well as unintended missing data in case-cohort studies with a binary endpoint
Case-cohort studies are conducted within cohort studies, with the defining feature that collection of exposure data is limited to a subset of the cohort, leading to a large proportion of missing data by design... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - December 7, 2023 Category: Research Authors: Melissa Middleton, Cattram Nguyen, John B. Carlin, Margarita Moreno-Betancur and Katherine J. Lee Tags: Research Source Type: research
Confounding-adjustment methods for the causal difference in medians
With continuous outcomes, the average causal effect is typically defined using a contrast of expected potential outcomes. However, in the presence of skewed outcome data, the expectation (population mean) may ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - December 7, 2023 Category: Research Authors: Daisy A. Shepherd, Benjamin R. Baer and Margarita Moreno-Betancur Tags: Research Source Type: research
Time and change: a typology for presenting research findings in qualitative longitudinal research
Qualitative longitudinal research (QLR) is an emerging methodology used in health research. The method literature states that the change in a phenomenon through time should be the focus of any QLR study, but i... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - December 6, 2023 Category: Research Authors: Åsa Audulv, Thomas Westergren, Mette Spliid Ludvigsen, Mona Kyndi Pedersen, Liv Fegran, Elisabeth O. C. Hall, Hanne Aagaard, Nastasja Robstad and Åsa Kneck Tags: Research Source Type: research
Advancing guideline quality through country-wide and regional quality assessment of CPGs using AGREE: a scoping review
Clinical practice guidelines (CPGs) are evaluated for quality with the Appraisal of Guidelines for Research and Evaluation (AGREE) tool, and this is increasingly done for different countries and regional group... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - November 30, 2023 Category: Research Authors: Marli Mc Allister, Ivan D. Florez, Suzaan Stoker and Michael McCaul Tags: Research Source Type: research
survextrap: a package for flexible and transparent survival extrapolation
Health policy decisions are often informed by estimates of long-term survival based primarily on short-term data. A range of methods are available to include longer-term information, but there has previously b... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - November 29, 2023 Category: Research Authors: Christopher H. Jackson Tags: Software Source Type: research
The methodological quality assessment of systematic reviews/meta-analyses of chronic prostatitis/chronic pelvic pain syndrome using AMSTAR2
This study aimed to assess the methodological quality of the systematic reviews/meta-analyses (SRs/MAs) of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) using A Measurement Tool to Assess systemat... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - November 27, 2023 Category: Research Authors: Xin Guan, Yongfeng Lao, Jian Wang, Yanan Wang, Yanan Bai, Xiaolong Li, Shuai Liu, Zewen Li, Fuhan Li and Zhilong Dong Tags: Research Source Type: research
Accounting for clustering in automated variable selection using hospital data: a comparison of different LASSO approaches
Automated feature selection methods such as the Least Absolute Shrinkage and Selection Operator (LASSO) have recently gained importance in the prediction of quality-related outcomes as well as the risk-adjustm... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - November 25, 2023 Category: Research Authors: Stella Bollmann, Andreas Groll and Michael M. Havranek Tags: Research Source Type: research
Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithm
Assessing malignancy risk is important to choose appropriate management of ovarian tumors. We compared six algorithms to estimate the probabilities that an ovarian tumor is benign, borderline malignant, stage ... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - November 24, 2023 Category: Research Authors: Ashleigh Ledger, Jolien Ceusters, Lil Valentin, Antonia Testa, Caroline Van Holsbeke, Dorella Franchi, Tom Bourne, Wouter Froyman, Dirk Timmerman and Ben Van Calster Tags: Research Source Type: research
Introducing activation functions into segmented regression model to address lag effects of interventions
The interrupted time series (ITS) design is widely used to examine the effects of large-scale public health interventions and has the highest level of evidence validity. However, there is a notable gap regardi... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - November 24, 2023 Category: Research Authors: Xiangliang Zhang, Kunpeng Wu, Yan Pan, Wenfang Zhong, Yixiang Zhou, Tingting Guo, Rong Yin and Wen Chen Tags: Research Source Type: research
Promoting data harmonization to evaluate vaccine hesitancy in LMICs: approach and applications
Factors influencing the health of populations are subjects of interdisciplinary study. However, datasets relevant to public health often lack interdisciplinary breath. It is difficult to combine data on health... (Source: BMC Medical Research Methodology)
Source: BMC Medical Research Methodology - November 24, 2023 Category: Research Authors: Ryan T. Rego, Yuri Zhukov, Kyrani A. Reneau, Amy Pienta, Kristina L. Rice, Patrick Brady, Geoffrey H. Siwo, Peninah Wanjiku Wachira, Amina Abubakar, Ken Kollman and Akbar K. Waljee Tags: Research Source Type: research
