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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. Random Forests are a powerful and frequently applied Machine Learning tool. The permutation variable importance (VIMP) has been proposed to improve the explainability of such a pure prediction model. It descri...

    Authors: Christoph Wies, Robert Miltenberger, Gunter Grieser and Antje Jahn-Eimermacher
    Citation: BMC Medical Research Methodology 2023 23:209
  12. Health and social care interventions are often complex and can be decomposed into multiple components. Multicomponent interventions are often evaluated in randomised controlled trials. Across trials, intervent...

    Authors: Suzanne C. Freeman, Elnaz Saeedi, José M. Ordóñez-Mena, Clareece R. Nevill, Jamie Hartmann-Boyce, Deborah M. Caldwell, Nicky J. Welton, Nicola J. Cooper and Alex J. Sutton
    Citation: BMC Medical Research Methodology 2023 23:208
  13. Intensive care unit (ICU) length of stay (LOS) and the risk adjusted equivalent (RALOS) have been used as quality metrics. The latter measures entail either ratio or difference formulations or ICU random effec...

    Authors: John L. Moran, Graeme J. Duke, John D. Santamaria and Ariel Linden
    Citation: BMC Medical Research Methodology 2023 23:207
  14. Stepped-wedge cluster randomized trials (SWCRTs) are a type of cluster-randomized trial in which clusters are randomized to cross-over to the active intervention sequentially at regular intervals during the st...

    Authors: Clement Ma, Alina Lee, Darren Courtney, David Castle and Wei Wang
    Citation: BMC Medical Research Methodology 2023 23:206
  15. Patterns of survey response and the characteristics associated with response over time in longitudinal studies are important to discern for the development of tailored retention efforts aimed at minimizing res...

    Authors: Claire A. Kolaja, Jennifer N. Belding, Satbir K. Boparai, Sheila F. Castañeda, Toni Rose Geronimo-Hara, Teresa M. Powell, Xin M. Tu, Jennifer L. Walstrom, Beverly D. Sheppard and Rudolph P. Rull
    Citation: BMC Medical Research Methodology 2023 23:205
  16. Non-experimental studies (also known as observational studies) are valuable for estimating the effects of various medical interventions, but are notoriously difficult to evaluate because the methods used in no...

    Authors: Ethan Steinberg, Nikolaos Ignatiadis, Steve Yadlowsky, Yizhe Xu and Nigam Shah
    Citation: BMC Medical Research Methodology 2023 23:204
  17. Studies have suggested that agreement between administrative health data and self-report for asthma status ranges from fair to good, but few studies benefited from administrative health data over a long period...

    Authors: Marie-Claude Rousseau, Florence Conus, Mariam El-Zein, Andrea Benedetti and Marie-Elise Parent
    Citation: BMC Medical Research Methodology 2023 23:201
  18. Trial design plays a key role in clinical trials. Traditional group sequential design has been used in cardiovascular clinical trials over decades as the trials can potentially be stopped early, therefore, it ...

    Authors: Jufen Zhang and Christy Saju
    Citation: BMC Medical Research Methodology 2023 23:200
  19. Alzheimer’s disease and related dementia (ADRD) are characterized by multiple and progressive anatomo-clinical changes including accumulation of abnormal proteins in the brain, brain atrophy and severe cogniti...

    Authors: Jérémie Lespinasse, Carole Dufouil and Cécile Proust-Lima
    Citation: BMC Medical Research Methodology 2023 23:199
  20. Symptoms reported following the administration of investigational drugs play an important role in decisions for registration and treatment guidelines. However, symptoms are subjective, and interview methods to...

    Authors: Kamala Thriemer, Robert James Commons, Megha Rajasekhar, Tamiru Shibiru Degaga, Krisin Chand, Nguyen Hoang Chau, Ashenafi Assefa, Mohammad Nader Naddim, Ayodhia Pitaloka Pasaribu, Awab Ghulam Rahim, Inge Sutanto, Tran Tinh Hien, Asrat Hailu, Mohammad Anwar Hasanzai, Lenny L. Ekawati, Adugna Woyessa…
    Citation: BMC Medical Research Methodology 2023 23:198
  21. Real-world observational data are an important source of evidence on the treatment effectiveness for patients hospitalized with coronavirus disease 2019 (COVID-19). However, observational studies evaluating tr...

    Authors: Oksana Martinuka, Derek Hazard, Hamid Reza Marateb, Camille Maringe, Marjan Mansourian, Manuel Rubio-Rivas and Martin Wolkewitz
    Citation: BMC Medical Research Methodology 2023 23:197
  22. Rare superficial vascular anomalies represent a wide range of diseases. Their management is difficult given the broad spectrum and the lack of clinical trials assessing treatment efficacy. A randomized clinica...

    Authors: Aude Allemang-Trivalle, Sophie Leducq, Annabel Maruani and Bruno Giraudeau
    Citation: BMC Medical Research Methodology 2023 23:196
  23. Implementation outcomes, including acceptability, are of critical importance in both implementation research and practice. The gold standard measure of acceptability, Acceptability of Intervention Measure (AIM...

    Authors: Rebecca Feldman Hamm, Lisa D. Levine, Julia E. Szymczak, Samuel Parry, Sindhu K. Srinivas and Rinad S. Beidas
    Citation: BMC Medical Research Methodology 2023 23:195
  24. Authors: Valerie A. Smith, Theodore S. Z. Berkowitz, Paul Hebert, Edwin S. Wong, Meike Niederhausen, John A. Pura, Kristin Berry, Pamela Green, Anna Korpak, Alexandra Fox, Aaron Baraff, Alex Hickok, Troy A Shahoumian, Amy S.B. Bohnert, Denise M. Hynes, Edward J. Boyko…
    Citation: BMC Medical Research Methodology 2023 23:194

    The original article was published in BMC Medical Research Methodology 2023 23:81

  25. Novel precision medicine therapeutics target increasingly granular, genomically-defined populations. Rare sub-groups make it challenging to study within a clinical trial or single real-world data (RWD) source;...

    Authors: Daniel Backenroth, Trevor Royce, Jose Pinheiro, Meghna Samant and Olivier Humblet
    Citation: BMC Medical Research Methodology 2023 23:193
  26. A multiple dependent state sampling plan (MDSSP) is designed when the lifetimes of the variables follow New Lomax Rayleigh Distribution (NLRD). The decision to accept or reject a lot in the proposed methodolog...

    Authors: Nagasaritha Kolli, Kanaparthi Rosaiah, Gadde Srinivasa Rao and Peter Josephat Kirigiti
    Citation: BMC Medical Research Methodology 2023 23:192
  27. The aggregation of a series of N-of-1 trials presents an innovative and efficient study design, as an alternative to traditional randomized clinical trials. Challenges for the statistical analysis arise when t...

    Authors: Thomas Gärtner, Juliana Schneider, Bert Arnrich and Stefan Konigorski
    Citation: BMC Medical Research Methodology 2023 23:191
  28. The Naive Bayes (NB) classifier is a powerful supervised algorithm widely used in Machine Learning (ML). However, its effectiveness relies on a strict assumption of conditional independence, which is often vio...

    Authors: Kimiya Gohari, Anoshirvan Kazemnejad, Marjan Mohammadi, Farzad Eskandari, Samaneh Saberi, Maryam Esmaieli and Ali Sheidaei
    Citation: BMC Medical Research Methodology 2023 23:190
  29. Cancer, a complex and deadly health concern today, is characterized by forming potentially malignant tumors or cancer cells. The dynamic interaction between these cells and their environment is crucial to the ...

    Authors: Hossein Hassani, Zakieh Avazzadeh, Praveen Agarwal, Samrad Mehrabi, M. J. Ebadi, Mohammad Shafi Dahaghin and Eskandar Naraghirad
    Citation: BMC Medical Research Methodology 2023 23:189
  30. Having an appropriate sample size is important when developing a clinical prediction model. We aimed to review how sample size is considered in studies developing a prediction model for a binary outcome.

    Authors: Paula Dhiman, Jie Ma, Cathy Qi, Garrett Bullock, Jamie C Sergeant, Richard D Riley and Gary S Collins
    Citation: BMC Medical Research Methodology 2023 23:188
  31. Machine learning models promise to support diagnostic predictions, but may not perform well in new settings. Selecting the best model for a new setting without available data is challenging. We aimed to invest...

    Authors: Jana Fehr, Marco Piccininni, Tobias Kurth and Stefan Konigorski
    Citation: BMC Medical Research Methodology 2023 23:187
  32. When conducting randomised controlled trials is impractical, an alternative is to carry out an observational study. However, making valid causal inferences from observational data is challenging because of the...

    Authors: Giulio Scola, Anca Chis Ster, Daniel Bean, Nilesh Pareek, Richard Emsley and Sabine Landau
    Citation: BMC Medical Research Methodology 2023 23:186
  33. Declining response proportions in surveys have been observed internationally. Improving response proportions is important for the generalizability of the outcome. The aim of this study was to examine the poten...

    Authors: Anne Illemann Christensen, Cathrine Juel Lau, Hanne Stald Poulsen and Ola Ekholm
    Citation: BMC Medical Research Methodology 2023 23:184
  34. The non-inferiority test is a reasonable approach to assessing a new treatment in a three-arm trial. The three-arm trial consists of a placebo, reference, and an experimental treatment. The non-inferiority is ...

    Authors: Meng-Chih Lee, Wei-Ya Wu, Hung-Yi Lu, Hsin-Neng Hsieh and Wei-Hwa Wu
    Citation: BMC Medical Research Methodology 2023 23:183
  35. Electronic health records (EHRs) are widely accepted to enhance the health care quality, patient monitoring, and early prevention of various diseases, even when there is incomplete or missing information in them.

    Authors: Thomas Tsiampalis and Demosthenes Panagiotakos
    Citation: BMC Medical Research Methodology 2023 23:180
  36. Historically, a priori power and sample size calculations have not been routinely performed cost-effectiveness analyses (CEA), partly because the absence of published cost and effectiveness correlation and var...

    Authors: Louis Everest, Bingshu E. Chen, Annette E. Hay, Matthew C. Cheung and Kelvin K. W. Chan
    Citation: BMC Medical Research Methodology 2023 23:179
  37. The Targeted Learning roadmap provides a systematic guide for generating and evaluating real-world evidence (RWE). From a regulatory perspective, RWE arises from diverse sources such as randomized controlled t...

    Authors: Susan Gruber, Rachael V. Phillips, Hana Lee, John Concato and Mark van der Laan
    Citation: BMC Medical Research Methodology 2023 23:178
  38. Epidemiologic and medical studies often rely on evaluators to obtain measurements of exposures or outcomes for study participants, and valid estimates of associations depends on the quality of data. Even thoug...

    Authors: Yujie Wu, Sharon Curhan, Bernard Rosner, Gary Curhan and Molin Wang
    Citation: BMC Medical Research Methodology 2023 23:177
  39. Authors: Alessia Gallucci, Pietro D. Trimarchi, Cosimo Tuena, Silvia Cavedoni, Elisa Pedroli, Francesca Romana Greco, Antonio Greco, Carlo Abbate, Fabrizia Lattanzio, Marco Stramba-Badiale and Fabrizio Giunco
    Citation: BMC Medical Research Methodology 2023 23:176

    The original article was published in BMC Medical Research Methodology 2023 23:166

  40. The main objective of this study is to evaluate the methodological quality and reporting quality of living systematic reviews (LSRs) on Coronavirus disease 2019 (COVID-19), while the secondary objective is to ...

    Authors: Jiefeng Luo, Zhe Chen, Dan Liu, Hailong Li, Siyi He, Linan Zeng, Mengting Yang, Zheng Liu, Xue Xiao and Lingli Zhang
    Citation: BMC Medical Research Methodology 2023 23:175
  41. Care pathways are increasingly being used to enhance the quality of care and optimize the use of resources for health care. Nevertheless, recommendations regarding the sequence of care are mostly based on cons...

    Authors: Laura Savaré, Francesca Ieva, Giovanni Corrao and Antonio Lora
    Citation: BMC Medical Research Methodology 2023 23:174
  42. The COVID-19 pandemic saw a steep increase in the number of rapidly published scientific studies, especially early in the pandemic. Some have suggested COVID-19 trial reporting is of lower quality than typical...

    Authors: Marlene Stoll, Saskia Lindner, Bernd Marquardt, Maia Salholz-Hillel, Nicholas J. DeVito, David Klemperer and Klaus Lieb
    Citation: BMC Medical Research Methodology 2023 23:173
  43. Efficient measurement of the receipt of cancer screening has been attempted with electronic health records (EHRs), but EHRs are commonly implemented within a single health care setting. However, health informa...

    Authors: Oindrila Bhattacharyya, Susan M. Rawl, Stephanie L. Dickinson and David A. Haggstrom
    Citation: BMC Medical Research Methodology 2023 23:172
  44. In a potential epidemic of an emerging infection, representative population-based serologic studies are required to determine the extent of immunity to the infectious agent, either from natural infection or va...

    Authors: Catherine Ley, Heying Duan and Julie Parsonnet
    Citation: BMC Medical Research Methodology 2023 23:170
  45. Machine learning (ML) methods to build prediction models starting from electrocardiogram (ECG) signals are an emerging research field. The aim of the present study is to investigate the performances of two ML ...

    Authors: Giovanni Baj, Ilaria Gandin, Arjuna Scagnetto, Luca Bortolussi, Chiara Cappelletto, Andrea Di Lenarda and Giulia Barbati
    Citation: BMC Medical Research Methodology 2023 23:169

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