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  1. Data loss often occurs in the collection of clinical data. Directly discarding the incomplete sample may lead to low accuracy of medical diagnosis. A suitable data imputation method can help researchers make b...

    Authors: Mingxuan FAN, Xiaoling Peng, Xiaoyu Niu, Tao Cui and Qiaolin He
    Citation: BMC Medical Research Methodology 2023 23:259
  2. Subject-level real-world data (RWD) collected during daily healthcare practices are increasingly used in medical research to assess questions that cannot be addressed in the context of a randomized controlled ...

    Authors: Juha Mehtälä, Mehreen Ali, Timo Miettinen, Liisa Partanen, Kaisa Laapas, Petri T. Niemelä, Igor Khorlo, Sanna Ström, Samu Kurki, Jarno Vapalahti, Khaled Abdelgawwad and Jussi V. Leinonen
    Citation: BMC Medical Research Methodology 2023 23:258
  3. The comorbidity burden has a negative impact on lung-cancer survival. Several comorbidity scores have been described and are currently used. The current challenge is to select the comorbidity score that best r...

    Authors: Hélène Pluchart, Sébastien Bailly, Sébastien Chanoine, Denis Moro-Sibilot, Pierrick Bedouch and Anne-Claire Toffart
    Citation: BMC Medical Research Methodology 2023 23:256
  4. Looking for treatment-by-subset interaction on a right-censored outcome based on observational data using propensity-score (PS) modeling is of interest. However, there are still issues regarding its implementa...

    Authors: Florian Chatelet, Benjamin Verillaud and Sylvie Chevret
    Citation: BMC Medical Research Methodology 2023 23:255
  5. A substantial body of clinical research involving individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evaluated the association between in-hospital biomarkers and severe ...

    Authors: Tingyi Cao, Harrison T. Reeder and Andrea S. Foulkes
    Citation: BMC Medical Research Methodology 2023 23:254
  6. Physician participation in clinical trials is essential for the progress of modern medicine. However, the demand for physician research partners is outpacing physicians’ interest in participating in scientific...

    Authors: Carly A. Bobak, Deepika Mohan, Megan A. Murphy, Amber E. Barnato and A. James O’Malley
    Citation: BMC Medical Research Methodology 2023 23:253
  7. Technology advancement has allowed more frequent monitoring of biomarkers. The resulting data structure entails more frequent follow-ups compared to traditional longitudinal studies where the number of follow-...

    Authors: Rahul Biswas, Marie Thoma and Xiangrong Kong
    Citation: BMC Medical Research Methodology 2023 23:251
  8. Evidence-based treatment decisions in medicine are made founded on population-level evidence obtained during randomized clinical trials. In an era of personalized medicine, these decisions should be based on t...

    Authors: Iwan Paolucci, Yuan-Mao Lin, Jessica Albuquerque Marques Silva, Kristy K. Brock and Bruno C. Odisio
    Citation: BMC Medical Research Methodology 2023 23:250
  9. To predict the influencing factors of neonatal pneumonia in pregnant women with diabetes mellitus using a Bayesian network model. By examining the intricate network connections between the numerous variables g...

    Authors: Yue Lin, Jia Shen Chen, Ni Zhong, Ao Zhang and Haiyan Pan
    Citation: BMC Medical Research Methodology 2023 23:249
  10. Causal inference helps researchers and policy-makers to evaluate public health interventions. When comparing interventions or public health programs by leveraging observational sensitive individual-level data ...

    Authors: Marjan Meurisse, Francisco Estupiñán-Romero, Javier González-Galindo, Natalia Martínez-Lizaga, Santiago Royo-Sierra, Simon Saldner, Lorenz Dolanski-Aghamanoukjan, Alexander Degelsegger-Marquez, Stian Soiland-Reyes, Nina Van Goethem and Enrique Bernal-Delgado
    Citation: BMC Medical Research Methodology 2023 23:248
  11. When estimating the causal effect on survival outcomes in observational studies, it is necessary to adjust confounding factors due to unbalanced covariates between treatment and control groups. There is no stu...

    Authors: Ce Wang, Kecheng Wei, Chen Huang, Yongfu Yu and Guoyou Qin
    Citation: BMC Medical Research Methodology 2023 23:247
  12. Administrative healthcare claims databases are used in drug safety research but are limited for investigating the impacts of prenatal exposures on neonatal and pediatric outcomes without mother-infant pair ide...

    Authors: James Weaver, Jill H. Hardin, Clair Blacketer, Alexis A. Krumme, Melanie H. Jacobson and Patrick B. Ryan
    Citation: BMC Medical Research Methodology 2023 23:246
  13. Systematic reviews of randomized controlled trials are the best evidence for informing on intervention effectiveness. Their results, however, can be biased due to omitted evidence in the quantitative analyses....

    Authors: Stefano Giuseppe Lazzarini, Marzia Stella Yousif, Silvia Bargeri, Greta Castellini and Silvia Gianola
    Citation: BMC Medical Research Methodology 2023 23:245
  14. The COVID-19 pandemic required that our research team change our mail-only (MO) strategy for a research survey to a strategy more manageable by staff working remotely. We used a modified web-push approach (MWP...

    Authors: Varsha G. Vimalananda, Jolie B. Wormwood, Kailyn E. Sitter, B. Graeme Fincke, Shirley Qian, Maya N. Tait and Mark Meterko
    Citation: BMC Medical Research Methodology 2023 23:244
  15. Plasmode simulations are a type of simulations that use real data to determine the synthetic data-generating equations. Such simulations thus allow evaluating statistical methods under realistic conditions. As...

    Authors: Youssra Souli, Xavier Trudel, Awa Diop, Chantal Brisson and Denis Talbot
    Citation: BMC Medical Research Methodology 2023 23:242
  16. Near-real time surveillance of excess mortality has been an essential tool during the COVID-19 pandemic. It remains critical for monitoring mortality as the pandemic wanes, to detect fluctuations in the death ...

    Authors: Richard James Holleyman, Sharmani Barnard, Clarissa Bauer-Staeb, Andrew Hughes, Samantha Dunn, Sebastian Fox, John N. Newton, Justine Fitzpatrick, Zachary Waller, David John Deehan, Andre Charlett, Celia L. Gregson, Rebecca Wilson, Paul Fryers, Peter Goldblatt and Paul Burton
    Citation: BMC Medical Research Methodology 2023 23:241
  17. Data harmonisation is essential in real-world data (RWD) research projects based on hospital information systems databases, as coding systems differ between countries. The Hungarian hospital information system...

    Authors: Ágota Mészáros, Sándor Kovács, Tibor Héja, Zsolt Bagyura and Antal Zemplényi
    Citation: BMC Medical Research Methodology 2023 23:240
  18. Cancer surveillance researchers analyze incidence or mortality rates jointly indexed by age group and calendar period using age-period-cohort models. Many studies consider age- and period-specific rates in two...

    Authors: Philip S. Rosenberg, Adalberto Miranda-Filho and David C. Whiteman
    Citation: BMC Medical Research Methodology 2023 23:238
  19. Adaptive clinical trials are growing in popularity as they are more flexible, efficient and ethical than traditional fixed designs. However, notwithstanding their increased use in assessing treatments for COVI...

    Authors: W. Li, V. Cornelius, S. Finfer, B. Venkatesh and L. Billot
    Citation: BMC Medical Research Methodology 2023 23:236
  20. Public health surveillance serves a crucial function within health systems, enabling the monitoring, early detection, and warning of infectious diseases. Recently, outbreak detection algorithms have gained sig...

    Authors: Bushra Zareie, Jalal Poorolajal, Amin Roshani and Manoochehr Karami
    Citation: BMC Medical Research Methodology 2023 23:235
  21. The COVID-19 pandemic resulted in major disruption to healthcare delivery worldwide causing medical services to adapt their standard practices. Learning how these adaptations result in unintended patient harm ...

    Authors: Thomas Purchase, Alison Cooper, Delyth Price, Emma Dorgeat, Huw Williams, Paul Bowie, Jean-Pascal Fournier, Peter Hibbert, Adrian Edwards, Rhiannon Phillips, Natalie Joseph-Williams and Andrew Carson-Stevens
    Citation: BMC Medical Research Methodology 2023 23:234
  22. When data is distributed across multiple sites, sharing information at the individual level among sites may be difficult. In these multi-site studies, propensity score model can be fitted with data within each...

    Authors: Chen Huang, Kecheng Wei, Ce Wang, Yongfu Yu and Guoyou Qin
    Citation: BMC Medical Research Methodology 2023 23:233
  23. Growth studies rely on longitudinal measurements, typically represented as trajectories. However, anthropometry is prone to errors that can generate outliers. While various methods are available for detecting ...

    Authors: Paraskevi Massara, Arooj Asrar, Celine Bourdon, Moses Ngari, Charles D. G. Keown-Stoneman, Jonathon L. Maguire, Catherine S. Birken, James A. Berkley, Robert H. J. Bandsma and Elena M. Comelli
    Citation: BMC Medical Research Methodology 2023 23:232
  24. In observational studies, double robust or multiply robust (MR) approaches provide more protection from model misspecification than the inverse probability weighting and g-computation for estimating the avera...

    Authors: Ce Wang, Kecheng Wei, Chen Huang, Yongfu Yu and Guoyou Qin
    Citation: BMC Medical Research Methodology 2023 23:231
  25. This study investigated the associations between the number of authors and collective self-citations versus citations by others.

    Authors: Cyril Jaksic, Angèle Gayet-Ageron and Thomas Perneger
    Citation: BMC Medical Research Methodology 2023 23:230

    The Correction to this article has been published in BMC Medical Research Methodology 2023 23:260

  26. Selecting and collecting data to support appropriate primary and secondary outcomes is a critical step in designing trials that can change clinical practice. In this study, we aimed to investigate who contribu...

    Authors: Heidi R. Green, Annabel Dawson, Adel Elfeky, David Pickles, Shaun Treweek and Katie Gillies
    Citation: BMC Medical Research Methodology 2023 23:229
  27. Participants in epidemiological cohorts may not be representative of the full invited population, limiting the generalizability of prevalence and incidence estimates. We propose that this problem can be remedi...

    Authors: Anton Nilsson, Jonas Björk, Ulf Strömberg and Carl Bonander
    Citation: BMC Medical Research Methodology 2023 23:228
  28. Observational studies using causal inference frameworks can provide a feasible alternative to randomized controlled trials. Advances in statistics, machine learning, and access to big data facilitate unravelin...

    Authors: Ivan Olier, Yiqiang Zhan, Xiaoyu Liang and Victor Volovici
    Citation: BMC Medical Research Methodology 2023 23:227
  29. Systematic reviews answer research questions through a defined methodology. It is a complex task and multiple articles need to be referred to acquire wide range of required knowledge to conduct a systematic re...

    Authors: Mayura Thilanka Iddagoda and Leon Flicker
    Citation: BMC Medical Research Methodology 2023 23:226
  30. INTEROCC is a seven-country cohort study of occupational exposures and brain cancer risk, including occupational exposure to electromagnetic fields (EMF). In the absence of data on individual exposures, a Job ...

    Authors: Tamer Oraby, Santanu Chakraborty, Siva Sivaganesan, Laurel Kincl, Lesley Richardson, Mary McBride, Jack Siemiatycki, Elisabeth Cardis and Daniel Krewski
    Citation: BMC Medical Research Methodology 2023 23:225
  31. Currently, there are no guidelines for the treatment of rheumatoid arthritis (RA) tailored to the context of the Kingdom of Saudi Arabia (KSA). Adaptation of guidelines accounts for contextual factors and beco...

    Authors: Joanne Khabsa, Sally Yaacoub, Mohammed A. Omair, Hanan Al Rayes and Elie A. Akl
    Citation: BMC Medical Research Methodology 2023 23:224
  32. Network meta-analysis compares multiple interventions and estimates the relative treatment effects between all interventions, combining both direct and indirect evidence. Recently, a framework was developed to...

    Authors: Virginia Chiocchia, Alexander Holloway and Georgia Salanti
    Citation: BMC Medical Research Methodology 2023 23:223
  33. People with amyotrophic lateral sclerosis (ALS) face disability- and travel-related barriers to research participation. We investigate the usefulness and acceptability of asynchronous, online focus groups (AOF...

    Authors: Shelagh K. Genuis, Westerly Luth, Garnette Weber, Tania Bubela and Wendy S. Johnston
    Citation: BMC Medical Research Methodology 2023 23:222
  34. Determining risk factors of single-vehicle run-off-road (SV-ROR) crashes, as a significant number of all the single-vehicle crashes and all the fatalities, may provide infrastructure for quicker and more effec...

    Authors: Fatemeh Jahanjoo, Mohammad Asghari-Jafarabadi and Homayoun Sadeghi-Bazargani
    Citation: BMC Medical Research Methodology 2023 23:221
  35. In medical, social, and behavioral research we often encounter datasets with a multilevel structure and multiple correlated dependent variables. These data are frequently collected from a study population that...

    Authors: Xynthia Kavelaars, Joris Mulder and Maurits Kaptein
    Citation: BMC Medical Research Methodology 2023 23:220
  36. Cross-sectional studies are useful for the estimation of prevalence of a particular event with concerns in specific populations, as in the case of diseases or other public health interests. Most of these studi...

    Authors: Milcíades Ibáñez-Pinilla, Sara Villalba-Niño and Nury N. Olaya-Galán
    Citation: BMC Medical Research Methodology 2023 23:219
  37. The advent of clinical trial data sharing platforms has created opportunities for making new discoveries and answering important questions using already collected data. However, existing methods for meta-analy...

    Authors: Vivek A. Rudrapatna, Vignesh G. Ravindranath, Douglas V. Arneson, Arman Mosenia, Atul J. Butte and Shan Wang
    Citation: BMC Medical Research Methodology 2023 23:218
  38. Respondent-driven sampling (RDS) is a peer chain-recruitment method for populations without a sampling frame or that are hard-to-reach. Although RDS is usually done face-to-face, the online version (WebRDS) ha...

    Authors: Pedro Ferrer-Rosende, María Feijoo-Cid, María Isabel Fernández-Cano, Sergio Salas-Nicás, Valeria Stuardo-Ávila and Albert Navarro-Giné
    Citation: BMC Medical Research Methodology 2023 23:217
  39. Fractures are rare events and can occur because of a fall. Fracture counts are distinct from other count data in that these data are positively skewed, inflated by excess zero counts, and events can recur over...

    Authors: Anower Hossain, Ranjit Lall, Chen Ji, Julie Bruce, Martin Underwood and Sarah E. Lamb
    Citation: BMC Medical Research Methodology 2023 23:216
  40. Gravity models are often hard to apply in practice due to their data-hungry nature. Standard implementations of gravity models require that data on each variable is available for each supply node. Since these ...

    Authors: Timo Latruwe, Marlies Van der Wee, Pieter Vanleenhove, Kwinten Michielsen, Sofie Verbrugge and Didier Colle
    Citation: BMC Medical Research Methodology 2023 23:215
  41. Patient-Reported Outcomes or Experience Measures (PROMS / PREMS) are routinely used in clinical studies to assess participants’ views and experiences of trial interventions and related quality of life. Purely ...

    Authors: Andrew Symon, Kate Lightly, Rachel Howard, Shuchita Mundle, Brian Faragher, Molly Hanley, Jill Durocher, Beverly Winikoff and Andrew Weeks
    Citation: BMC Medical Research Methodology 2023 23:214
  42. Configural, metric, and scalar measurement invariance have been indicators of bias-free statistical cross-group comparisons, although they are difficult to verify in the data. Low comparability of translated q...

    Authors: Natalja Menold, Louise Biddle, Hagen von Hermanni, Jasmin Kadel and Kayvan Bozorgmehr
    Citation: BMC Medical Research Methodology 2023 23:213
  43. Healthcare, as with other sectors, has undergone progressive digitalization, generating an ever-increasing wealth of data that enables research and the analysis of patient movement. This can help to evaluate t...

    Authors: Amelie Flothow, Anna Novelli and Leonie Sundmacher
    Citation: BMC Medical Research Methodology 2023 23:212
  44. Barriers to mental health research participation are well documented including distrust of services and research; and stigma surrounding mental health. They can contribute to a lack of diversity amongst partic...

    Authors: Mais Iflaifel, Charlotte L Hall, Heidi R Green, Andrew Willis, Stefan Rennick-Egglestone, Edmund Juszczak, Mark Townsend, Jennifer Martin and Kirsty Sprange
    Citation: BMC Medical Research Methodology 2023 23:211
  45. Epidemiological surveys offer essential data on adolescent substance use. Nevertheless, the precision of these self-report-based surveys often faces mistrust from researchers and the public. We evaluate the ef...

    Authors: Janaka V. Kosgolla, Douglas C. Smith, Shahana Begum and Crystal A. Reinhart
    Citation: BMC Medical Research Methodology 2023 23:210

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