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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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

  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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

  30. 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
  31. 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
  32. 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
  33. 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
  34. COVID-19 brought enormous challenges to public health surveillance and underscored the importance of developing and maintaining robust systems for accurate surveillance. As public health data collection effort...

    Authors: Joanne Kim, Andrew B. Lawson, Brian Neelon, Jeffrey E. Korte, Jan M. Eberth and Gerardo Chowell
    Citation: BMC Medical Research Methodology 2023 23:171
  35. 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
  36. 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
  37. Safety is an essential part of the evaluation of new medications and competing risks that occur in most clinical trials are a well identified challenge in the analysis of adverse events. Two statistical framew...

    Authors: Astrid Genet, Kathrin Bogner, Ralf Goertz, Sarah Böhme and Friedhelm Leverkus
    Citation: BMC Medical Research Methodology 2023 23:168
  38. Medication adherence is usually defined as the extent of the agreement between the medication regimen agreed to by patients with their healthcare provider and the real-world implementation. Proactive identific...

    Authors: Holly Tibble, Aziz Sheikh and Athanasios Tsanas
    Citation: BMC Medical Research Methodology 2023 23:167
  39. Frailty, neurodegeneration and geriatric syndromes cause a significant impact at the clinical, social, and economic level, mainly in the context of the aging world. Recently, Information and Communication Tech...

    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 23:166

    The Correction to this article has been published in BMC Medical Research Methodology 2023 23:176

  40. Measuring the performance of models that predict individualized treatment effect is challenging because the outcomes of two alternative treatments are inherently unobservable in one patient. The C-for-benefit ...

    Authors: C. C. H. M. Maas, D. M. Kent, M. C. Hughes, R. Dekker, H. F. Lingsma and D. van Klaveren
    Citation: BMC Medical Research Methodology 2023 23:165
  41. Adversity occurring during development is associated with detrimental health and quality of life outcomes, not just following exposure but throughout the lifespan. Despite increased research, there exists both...

    Authors: Natalia Orendain, Ariana Anderson, Adriana Galván, Susan Bookheimer and Paul J. Chung
    Citation: BMC Medical Research Methodology 2023 23:164
  42. The length of hospital stay (LOHS) caused by COVID-19 has imposed a financial burden, and cost on the healthcare service system and a high psychological burden on patients and health workers. The purpose of th...

    Authors: Shabnam Bahrami, Karimollah Hajian-Tilaki, Masomeh Bayani, Mohammad Chehrazi, Zahra Mohamadi-Pirouz and Abazar Amoozadeh
    Citation: BMC Medical Research Methodology 2023 23:163
  43. Standard stepped wedge trials, where clusters switch from the control to the intervention condition in a staggered manner, can be costly and burdensome. Recent work has shown that the amount of information con...

    Authors: Ehsan Rezaei-Darzi, Kelsey L. Grantham, Andrew B. Forbes and Jessica Kasza
    Citation: BMC Medical Research Methodology 2023 23:160
  44. Orofacial pain (OFP) is a highly prevalent disorder in mainland China that predisposes to an associated physical and psychological disability. There is lack of a good properties mainland Chinese version of ins...

    Authors: Yao Feng, Ze-Yue Ou-Yang, Jing-Jie Lu, Yi-Fan Yang, Qian Zhang, Meng-Mei Zhong, Ning-Xin Chen, Xiao-Lin Su, Jing Hu, Qin Ye, Jie Zhao, Ya-Qiong Zhao, Yun Chen, Li Tan, Qiong Liu, Yun-Zhi Feng…
    Citation: BMC Medical Research Methodology 2023 23:159
  45. The Oxford Elbow Score (OES) and the short version of Disabilities of Arms, Shoulder and Hand (QuickDASH) are common patient-reported outcomes for people with elbow problems. Our primary objective was to defin...

    Authors: Teemu Karjalainen, Tuomas Lähdeoja, Mikko Salmela, Clare L Ardern, Joona Juurakko, Teppo LN Järvinen and Simo Taimela
    Citation: BMC Medical Research Methodology 2023 23:158

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