Skip to main content

Articles

Page 23 of 69

  1. Growth Mixture Modeling (GMM) is commonly used to group individuals on their development over time, but convergence issues and impossible values are common. This can result in unreliable model estimates. Const...

    Authors: Jitske J. Sijbrandij, Tialda Hoekstra, Josué Almansa, Margot Peeters, Ute Bültmann and Sijmen A. Reijneveld
    Citation: BMC Medical Research Methodology 2020 20:276
  2. The multiple-indicator, multiple-cause model (MIMIC) incorporates covariates of interest in the factor analysis. It is a special case of structural equation modeling (SEM), which is modeled under latent variab...

    Authors: Chi Chang, Joseph Gardiner, Richard Houang and Yan-Liang Yu
    Citation: BMC Medical Research Methodology 2020 20:275
  3. In clinical trials with fixed study designs, statistical inference is only made when the trial is completed. In contrast, group sequential designs allow an early stopping of the trial at interim, either for ef...

    Authors: Xieran Li, Carolin Herrmann and Geraldine Rauch
    Citation: BMC Medical Research Methodology 2020 20:274

    The Correction to this article has been published in BMC Medical Research Methodology 2020 20:280

  4. While there is wide consensus that the public should be consulted about emerging technology early in development, it is difficult to elicit public opinion about innovations unfamiliar to lay audiences. We soug...

    Authors: Cynthia E. Schairer, Cynthia Triplett, Anna Buchman, Omar S. Akbari and Cinnamon S. Bloss
    Citation: BMC Medical Research Methodology 2020 20:273
  5. Recruitment of research participants poses challenges in socioeconomically deprived areas. The Awareness and Beliefs About Cancer (ABACus) phase 3 Randomised Control Trial recruited adult participants from soc...

    Authors: Vasiliki Kolovou, Yvonne Moriarty, Stephanie Gilbert, Harriet Quinn-Scoggins, Julia Townson, Louise Padgett, Sioned Owen, Peter Buckle, Adrian Edwards, Julie Hepburn, Mandy Lau, Maura Matthews, Caroline Mitchell, Richard Neal, Rebecca Playle, Mike Robling…
    Citation: BMC Medical Research Methodology 2020 20:272
  6. To describe how using a combined approach of community-based participatory research and intervention mapping principles could inform the development of a tailored complex intervention to improve management of ...

    Authors: Monica Lakhanpaul, Lorraine Culley, Noelle Robertson, Emma C. Alexander, Deborah Bird, Nicky Hudson, Narynder Johal, Melanie McFeeters, Charlotte Hamlyn-Williams, Logan Manikam, Yebeen Ysabelle Boo, Maya Lakhanpaul and Mark R. D. Johnson
    Citation: BMC Medical Research Methodology 2020 20:271
  7. Although recruitment is a major challenge for most randomized controlled trials, few report on the difficulties of recruitment, or how it might be enhanced. The objective of our study was to qualitatively expl...

    Authors: Jane M. Fletcher, Terry Saunders-Smith, Braden J. Manns, Ross Tsuyuki, Brenda R. Hemmelgarn, Marcello Tonelli and David J. T. Campbell
    Citation: BMC Medical Research Methodology 2020 20:270
  8. Meta-analyses of studies evaluating survival (time-to-event) outcomes are a powerful technique to assess the strength of evidence for a given disease or treatment. However, these studies rely on the adequate r...

    Authors: Andrew F. Irvine, Sara Waise, Edward W. Green and Beth Stuart
    Citation: BMC Medical Research Methodology 2020 20:269
  9. Methods for estimating relative survival are widely used in population-based cancer survival studies. These methods are based on splitting the observed (the overall) mortality into excess mortality (due to can...

    Authors: Robert Darlin Mba, Juste Aristide Goungounga, Nathalie Grafféo and Roch Giorgi
    Citation: BMC Medical Research Methodology 2020 20:268
  10. Aboriginal people are under-reported on administrative health data in Australia. Various approaches have been used or proposed to improve reporting of Aboriginal people using linked records. This cross-section...

    Authors: Michael A. Nelson, Kim Lim, Jason Boyd, Damien Cordery, Allan Went, David Meharg, Lisa Jackson-Pulver, Scott Winch and Lee K. Taylor
    Citation: BMC Medical Research Methodology 2020 20:267
  11. Network meta-analysis (NMA) simultaneously synthesises direct and indirect evidence on the relative efficacy and safety of at least three treatments. A decision maker may use the coherent results of an NMA to ...

    Authors: Caitlin H. Daly, Lawrence Mbuagbaw, Lehana Thabane, Sharon E. Straus and Jemila S. Hamid
    Citation: BMC Medical Research Methodology 2020 20:266
  12. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Thomas Perneger, Antoine Kevorkian, Thierry Grenet, Hubert Gallée and Angèle Gayet-Ageron
    Citation: BMC Medical Research Methodology 2020 20:265

    The original article was published in BMC Medical Research Methodology 2020 20:248

  13. Recent evidence suggests that there is often substantial variation in the benefits and harms across a trial population. We aimed to identify regression modeling approaches that assess heterogeneity of treatmen...

    Authors: Alexandros Rekkas, Jessica K. Paulus, Gowri Raman, John B. Wong, Ewout W. Steyerberg, Peter R. Rijnbeek, David M. Kent and David van Klaveren
    Citation: BMC Medical Research Methodology 2020 20:264
  14. For outcomes that studies report as the means in the treatment and control groups, some medical applications and nearly half of meta-analyses in ecology express the effect as the ratio of means (RoM), also cal...

    Authors: Ilyas Bakbergenuly, David C. Hoaglin and Elena Kulinskaya
    Citation: BMC Medical Research Methodology 2020 20:263
  15. Interest in models for calculating the risk of death in traumatic patients admitted to ICUs remains high. These models use variables derived from the deviation of physiological parameters and/or the severity o...

    Authors: Luis Serviá, Neus Montserrat, Mariona Badia, Juan Antonio Llompart-Pou, Jesús Abelardo Barea-Mendoza, Mario Chico-Fernández, Marcelino Sánchez-Casado, José Manuel Jiménez, Dolores María Mayor and Javier Trujillano
    Citation: BMC Medical Research Methodology 2020 20:262
  16. Network meta-analysis (NMA) provides a powerful tool for the simultaneous evaluation of multiple treatments by combining evidence from different studies, allowing for direct and indirect comparisons between tr...

    Authors: Andreas Heinecke, Marta Tallarita and Maria De Iorio
    Citation: BMC Medical Research Methodology 2020 20:261
  17. A competing interest is an important source of bias in research and disclosure is frequently employed as a strategy to manage it. Considering the importance of systematic reviews (SRs) and the varying prevalen...

    Authors: Jiajie Yu, Guanyue Su, Allison Hirst, Zhengyue Yang, You Zhang and Youping Li
    Citation: BMC Medical Research Methodology 2020 20:260
  18. Data extraction forms link systematic reviews with primary research and provide the foundation for appraising, analysing, summarising and interpreting a body of evidence. This makes their development, pilot te...

    Authors: Roland Brian Büchter, Alina Weise and Dawid Pieper
    Citation: BMC Medical Research Methodology 2020 20:259
  19. Unstructured data from clinical epidemiological studies can be valuable and easy to obtain. However, it requires further extraction and processing for data analysis. Doing this manually is labor-intensive, slo...

    Authors: Robert Chen, Joyce C. Ho and Jin-Mann S. Lin
    Citation: BMC Medical Research Methodology 2020 20:258
  20. Projection of future cancer incidence is an important task in cancer epidemiology. The results are of interest also for biomedical research and public health policy. Age-Period-Cohort (APC) models, usually bas...

    Authors: Maximilian Knoll, Jennifer Furkel, Jürgen Debus, Amir Abdollahi, André Karch and Christian Stock
    Citation: BMC Medical Research Methodology 2020 20:257
  21. Systematic reviews often require substantial resources, partially due to the large number of records identified during searching. Although artificial intelligence may not be ready to fully replace human review...

    Authors: C. Hamel, S. E. Kelly, K. Thavorn, D. B. Rice, G. A. Wells and B. Hutton
    Citation: BMC Medical Research Methodology 2020 20:256
  22. Dietary patterns were associated with the risk of chronic disease development and outcome-related diseases. In this study, we aimed to compare the correlation between dietary patterns and metabolic syndrome (M...

    Authors: Adi Lukas Kurniawan, Chien-Yeh Hsu, Hsiu-An Lee, Hsiao-Hsien Rau, Rathi Paramastri, Ahmad Syauqy and Jane C.-J. Chao
    Citation: BMC Medical Research Methodology 2020 20:255
  23. There is a call for valid and reliable instruments to evaluate implementation of evidence-based practices (EBP). The 15-item Evidence-Based Practice Attitude Scale (EBPAS) measures attitude toward EBP, incorpo...

    Authors: Anna Helena Elisabeth Santesson, Martin Bäckström, Robert Holmberg, Sean Perrin and Håkan Jarbin
    Citation: BMC Medical Research Methodology 2020 20:254
  24. Go/no-go decisions after phase II and sample size chosen for phase III are usually based on phase II results (e.g., the treatment effect estimate of phase II). Due to the decision rule (only promising phase II...

    Authors: Stella Erdmann, Marietta Kirchner, Heiko Götte and Meinhard Kieser
    Citation: BMC Medical Research Methodology 2020 20:253
  25. Web-surveys are increasingly used in population studies. Yet, web-surveys targeting older individuals are still uncommon for various reasons. However, with younger cohorts approaching older age, the potentials...

    Authors: Susanne Kelfve, Marie Kivi, Boo Johansson and Magnus Lindwall
    Citation: BMC Medical Research Methodology 2020 20:252
  26. In health research, population estimates are generally obtained from probability-based surveys. In market research surveys are frequently conducted from volunteer web panels. Propensity score adjustment (PSA) ...

    Authors: Andrew Copas, Sarah Burkill, Fred Conrad, Mick P. Couper and Bob Erens
    Citation: BMC Medical Research Methodology 2020 20:251
  27. Dropout is a common problem in longitudinal clinical trials and cohort studies, and is of particular concern when dropout occurs for reasons that may be related to the outcome of interest. This paper reviews c...

    Authors: Camille M. Moore, Samantha MaWhinney, Nichole E. Carlson and Sarah Kreidler
    Citation: BMC Medical Research Methodology 2020 20:250
  28. Men, particularly those living in disadvantaged areas, are less likely to participate in weight management programmes than women despite similar levels of excess weight. Little is known about how best to recru...

    Authors: Matthew D. McDonald, Stephan U. Dombrowski, Rebecca Skinner, Eileen Calveley, Paula Carroll, Andrew Elders, Cindy M. Gray, Mark Grindle, Fiona M. Harris, Claire Jones and Pat Hoddinott
    Citation: BMC Medical Research Methodology 2020 20:249
  29. Classic epidemic curves – counts of daily events or cumulative events over time –emphasise temporal changes in the growth or size of epidemic outbreaks. Like any graph, these curves have limitations: they are ...

    Authors: Thomas Perneger, Antoine Kevorkian, Thierry Grenet, Hubert Gallée and Angèle Gayet-Ageron
    Citation: BMC Medical Research Methodology 2020 20:248

    The Correction to this article has been published in BMC Medical Research Methodology 2020 20:265

  30. Acute Care Surgery (ACS) was developed as a structured, team-based approach to providing round-the-clock emergency general surgery (EGS) care for adult patients needing treatment for diseases such as cholecyst...

    Authors: Heena P. Santry, Scott A. Strassels, Angela M. Ingraham, Wendelyn M. Oslock, Kevin B. Ricci, Anghela Z. Paredes, Victor K. Heh, Holly E. Baselice, Amy P. Rushing, Adrian Diaz, Vijaya T. Daniel, M. Didem Ayturk and Catarina I. Kiefe
    Citation: BMC Medical Research Methodology 2020 20:247
  31. The German Research Foundation (DFG) and the Federal Ministry of Education and Research (BMBF) initiated large research programs to foster high quality clinical research in the academic area. These investigato...

    Authors: E. Nury, K. Bischoff, K. Wollmann, K. Nitschke, S. Lohner, M. Schumacher, G. Rücker and A. Blümle
    Citation: BMC Medical Research Methodology 2020 20:246
  32. Guidelines on public health and health system interventions often involve considerations beyond effectiveness and safety to account for the impact that these interventions have on the wider systems in which th...

    Authors: A. Movsisyan, E. Rehfuess and S. L. Norris
    Citation: BMC Medical Research Methodology 2020 20:245
  33. Researchers often misinterpret and misrepresent statistical outputs. This abuse has led to a large literature on modification or replacement of testing thresholds and P-values with confidence intervals, Bayes fac...

    Authors: Zad Rafi and Sander Greenland
    Citation: BMC Medical Research Methodology 2020 20:244
  34. The early warning model of infectious diseases plays a key role in prevention and control. This study aims to using seasonal autoregressive fractionally integrated moving average (SARFIMA) model to predict the...

    Authors: Chang Qi, Dandan Zhang, Yuchen Zhu, Lili Liu, Chunyu Li, Zhiqiang Wang and Xiujun Li
    Citation: BMC Medical Research Methodology 2020 20:243
  35. There is consensus that health services commissioning and clinical practice should be driven by scientific evidence. However, workload pressures, accessibility of peer reviewed publications and skills to find,...

    Authors: Joanna K. Anderson, Emma Howarth, Maris Vainre, Ayla Humphrey, Peter B. Jones and Tamsin J. Ford
    Citation: BMC Medical Research Methodology 2020 20:242
  36. The objectives of the present study were to evaluate the performance of a time-to-event data reconstruction method, to assess the bias and efficiency of unanchored matching-adjusted indirect comparison (MAIC) ...

    Authors: Yawen Jiang and Weiyi Ni
    Citation: BMC Medical Research Methodology 2020 20:241
  37. Bias in randomized controlled trials (RCTs) can lead to underestimation or overestimation of the true effects of interventions. Surgical RCTs may suffer from the risk of bias (RoB) that is avoidable in trials ...

    Authors: Ognjen Barcot, Matija Boric, Svjetlana Dosenovic, Marija Cavar, Antonia Jelicic Kadic, Tina Poklepovic Pericic, Ivana Vukicevic, Ivana Vuka and Livia Puljak
    Citation: BMC Medical Research Methodology 2020 20:240
  38. A very large body of research documents relationships between self-reported Adverse Childhood Experiences (srACEs) and adult health outcomes. Despite multiple assessment tools that use the same or similar ques...

    Authors: Marianna D. LaNoue, Brandon J. George, Deborah L. Helitzer and Scott W. Keith
    Citation: BMC Medical Research Methodology 2020 20:239
  39. Very large cohorts that span an entire population raise new prospects for the conduct of multiple trials that speed up advances in prevention or treatment while reducing participant, financial and regulatory b...

    Authors: Melissa Wake, Yanhong Jessika Hu, Hayley Warren, Margie Danchin, Michael Fahey, Francesca Orsini, Maurizio Pacilli, Kirsten P. Perrett, Richard Saffery and Andrew Davidson
    Citation: BMC Medical Research Methodology 2020 20:238
  40. Evidence based medicine aims to integrate scientific evidence, clinical experience, and patient values and preferences. Individual health care professionals need to appraise the evidence from randomized trials...

    Authors: Hendrika J. Luijendijk, Matthew J. Page, Huibert Burger and Xander Koolman
    Citation: BMC Medical Research Methodology 2020 20:237
  41. The population attributable fraction (PAF) is the fraction of disease cases in a sample that can be attributed to an exposure. Estimating the PAF often involves the estimation of the probability of having the ...

    Authors: Wei Wang, Dylan S. Small and Michael O. Harhay
    Citation: BMC Medical Research Methodology 2020 20:236
  42. Usability testing of medical devices are mandatory for market access. The testings’ goal is to identify usability problems that could cause harm to the user or limit the device’s effectiveness. In practice, hu...

    Authors: Vincent Vandewalle, Alexandre Caron, Coralie Delettrez, Renaud Périchon, Sylvia Pelayo, Alain Duhamel and Benoit Dervaux
    Citation: BMC Medical Research Methodology 2020 20:234
  43. Contact tracing data of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is used to estimate basic epidemiological parameters. Contact tracing data could also be potentially used for assessin...

    Authors: Karikalan Nagarajan, Malaisamy Muniyandi, Bharathidasan Palani and Senthil Sellappan
    Citation: BMC Medical Research Methodology 2020 20:233
  44. Psychiatric disorders may occur as a single episode or be persistent and relapsing, sometimes leading to suicidal behaviours. The exact causes of psychiatric disorders are hard to determine but easy access to ...

    Authors: Sharmin Sharker, Lloyd Balbuena, Gene Marcoux and Cindy Xin Feng
    Citation: BMC Medical Research Methodology 2020 20:232
  45. Emergency Departments (EDs) are a first point-of-contact for many youth with mental health and suicidality concerns and can serve as an effective recruitment source for randomized controlled trials (RCTs) of m...

    Authors: Matthew Tracey, Yaron Finkelstein, Reva Schachter, Kristin Cleverley, Suneeta Monga, Melanie Barwick, Peter Szatmari, Myla E. Moretti, Andrew Willan, Joanna Henderson and Daphne J. Korczak
    Citation: BMC Medical Research Methodology 2020 20:231
  46. Master of public health (MPH) plays an important role in Chinese medical education, and the dissertations is an important part of MPH education. In MPH dissertations, most are observational studies. Compared w...

    Authors: Shuangyang Dai, Xiaobin Zhou, Hong Xu, Beibei Li and Jingao Zhang
    Citation: BMC Medical Research Methodology 2020 20:230
  47. Defining incident cases has always been a challenging issue for researchers working with routine data. Lookback periods should enable researchers to identify and exclude recurrent cases and increase the accura...

    Authors: Jelena Epping, Siegfried Geyer and Juliane Tetzlaff
    Citation: BMC Medical Research Methodology 2020 20:229
  48. COVID-19, the disease caused by the highly infectious and transmissible coronavirus SARS-CoV-2, has quickly become a morbid global pandemic. Although the impact of SARS-CoV-2 infection in children is less clin...

    Authors: Rosiane Lima, Elizabeth F. Gootkind, Denis De la Flor, Laura J. Yockey, Evan A. Bordt, Paolo D’Avino, Shen Ning, Katerina Heath, Katherine Harding, Jaclyn Zois, Grace Park, Margot Hardcastle, Kathleen A. Grinke, Sheila Grimmel, Susan P. Davidson, Pamela J. Forde…
    Citation: BMC Medical Research Methodology 2020 20:228
  49. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Junhao Liu, Jo Wick, Renee’ H. Martin, Caitlyn Meinzer, Dooti Roy and Byron Gajewski
    Citation: BMC Medical Research Methodology 2020 20:227

    The original article was published in BMC Medical Research Methodology 2020 20:211

Annual Journal Metrics

  • 2022 Citation Impact
    4.0 - 2-year Impact Factor
    7.0 - 5-year Impact Factor
    2.055 - SNIP (Source Normalized Impact per Paper)
    1.778 - SJR (SCImago Journal Rank)

    2023 Speed
    40 days submission to first editorial decision for all manuscripts (Median)
    210 days submission to accept (Median)

    2023 Usage 
    4,638,094 downloads
    3,126 Altmetric mentions 

Peer-review Terminology

  • The following summary describes the peer review process for this journal:

    Identity transparency: Single anonymized

    Reviewer interacts with: Editor

    Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

    More information is available here

Sign up for article alerts and news from this journal