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  1. There is little consensus on how to sample hospitalizations and analyze multiple variables to model readmission risk. The purpose of this study was to compare readmission rates and the accuracy of predictive m...

    Authors: Huaqing Zhao, Samuel Tanner, Sherita H. Golden, Susan G. Fisher and Daniel J. Rubin

    Citation: BMC Medical Research Methodology 2020 20:281

    Content type: Research article

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  2. We consider the design of stepped wedge trials with continuous recruitment and continuous outcome measures. Suppose we recruit from a fixed number of clusters where eligible participants present continuously, ...

    Authors: Richard Hooper, Jessica Kasza and Andrew Forbes

    Citation: BMC Medical Research Methodology 2020 20:279

    Content type: Research article

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  3. Predicting survival of recipients after liver transplantation is regarded as one of the most important challenges in contemporary medicine. Hence, improving on current prediction models is of great interest.No...

    Authors: Georgios Kantidakis, Hein Putter, Carlo Lancia, Jacob de Boer, Andries E. Braat and Marta Fiocco

    Citation: BMC Medical Research Methodology 2020 20:277

    Content type: Research article

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  4. 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

    Content type: Research article

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  5. 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

    Content type: Research article

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  6. 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

    Content type: Research article

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

  7. 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

    Content type: Research article

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  8. 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

    Content type: Research article

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  9. 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

    Content type: Research article

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  10. 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

    Content type: Research article

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  11. 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

    Content type: Technical advance

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  12. 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

    Content type: Technical advance

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  13. 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

    Content type: Research article

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  14. 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

    Content type: Technical advance

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  15. 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

    Content type: Correction

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

  16. 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

    Content type: Research article

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  17. 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

    Content type: Research article

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  18. 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

    Content type: Research article

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  19. 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

    Content type: Research article

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  20. 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

    Content type: Research article

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  21. 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

    Content type: Research article

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  22. 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

    Content type: Research article

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  23. 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

    Content type: Research article

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  24. 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

    Content type: Research article

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  25. 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

    Content type: Research article

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  26. 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

    Content type: Research article

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  27. 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

    Content type: Research article

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  28. 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

    Content type: Research article

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  29. 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

    Content type: Research article

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  30. 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

    Content type: Research article

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  31. 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

    Content type: Research article

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  32. 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

    Content type: Technical advance

    Published on:

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

  33. 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

    Content type: Research article

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  34. 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

    Content type: Research article

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  35. 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

    Content type: Review

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  36. 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

    Content type: Technical advance

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  37. 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

    Content type: Research article

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  38. 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

    Content type: Research article

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  39. 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

    Content type: Research article

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  40. 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

    Content type: Research article

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  41. 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

    Content type: Research article

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  42. 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

    Content type: Technical advance

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  43. 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

    Content type: Technical advance

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  44. 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

    Content type: Technical advance

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  45. 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

    Content type: Technical advance

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  46. 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

    Content type: Research article

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  47. 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

    Content type: Research article

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  48. 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

    Content type: Research article

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