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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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

  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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

  18. 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
  19. 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
  20. 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
  21. Adaptive interventions are often used in individualized health care to meet the unique needs of clients. Recently, more researchers have adopted the Sequential Multiple Assignment Randomized Trial (SMART), a t...

    Authors: Carol A. Lee, Danilo Gamino, Michelle Lore, Curt Donelson and Liliane C. Windsor
    Citation: BMC Medical Research Methodology 2023 23:162
  22. Missing data is a pervasive problem in longitudinal data analysis. Several single-imputation (SI) and multiple-imputation (MI) approaches have been proposed to address this issue. In this study, for the first ...

    Authors: Mina Jahangiri, Anoshirvan Kazemnejad, Keith S. Goldfeld, Maryam S. Daneshpour, Shayan Mostafaei, Davood Khalili, Mohammad Reza Moghadas and Mahdi Akbarzadeh
    Citation: BMC Medical Research Methodology 2023 23:161
  23. 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
  24. 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
  25. 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
  26. This study was conducted to evaluate the effect of alcohol consumption on breast cancer, adjusting for alcohol consumption misclassification bias and confounders.

    Authors: Reza Pakzad, Saharnaz Nedjat, Hamid Salehiniya, Nasrin Mansournia, Mahyar Etminan, Maryam Nazemipour, Iraj Pakzad and Mohammad Ali Mansournia
    Citation: BMC Medical Research Methodology 2023 23:157
  27. No algorithms exist to identify important osteoarthritis (OA) patient subgroups (i.e., moderate-to-severe disease, inadequate response to pain treatments) in electronic healthcare data, possibly due to the com...

    Authors: Yi Lu, Michael L. Ganz, Rebecca L. Robinson, Anthony J. Zagar, Sandra Okala, Craig T. Hartrick, Beth Johnston, Patricia Dorling, May Slim, Sheena Thakkar and Ariel Berger
    Citation: BMC Medical Research Methodology 2023 23:156
  28. In the causal analysis of observational studies, covariates should be carefully balanced to approximate a randomized experiment. Numerous covariate balancing methods have been proposed for this purpose. Howeve...

    Authors: Hengtao Zhang, Wen Su and Guosheng Yin
    Citation: BMC Medical Research Methodology 2023 23:155
  29. Many scientific papers are published each year and substantial resources are spent to develop biomarker-based tests for precision oncology. However, only a handful of tests is currently used in daily clinical ...

    Authors: L Sollfrank, SC Linn, M Hauptmann and K Jóźwiak
    Citation: BMC Medical Research Methodology 2023 23:154

    The Correction to this article has been published in BMC Medical Research Methodology 2023 23:202

  30. The rule of thumb that there is little gain in statistical power by obtaining more than 4 controls per case, is based on type-1 error α = 0.05. However, association studies that evaluate thousands or millions ...

    Authors: Hormuzd A. Katki, Sonja I. Berndt, Mitchell J. Machiela, Douglas R. Stewart, Montserrat Garcia-Closas, Jung Kim, Jianxin Shi, Kai Yu and Nathaniel Rothman
    Citation: BMC Medical Research Methodology 2023 23:153
  31. Real-world data (RWD) and real-world evidence (RWE) have been paid more and more attention in recent years. We aimed to evaluate the reporting quality of cohort studies using real-world data (RWD) published be...

    Authors: Ran Zhao, Wen Zhang, ZeDan Zhang, Chang He, Rong Xu, XuDong Tang and Bin Wang
    Citation: BMC Medical Research Methodology 2023 23:152
  32. Clinical trial design must consider the specific resource constraints and overall goals of the drug development process (DDP); for example, in designing a phase I trial to evaluate the safety of a drug and rec...

    Authors: Alyssa M. Vanderbeek, Robert A. Redd, Steffen Ventz and Lorenzo Trippa
    Citation: BMC Medical Research Methodology 2023 23:151
  33. Meta-analyses can be a powerful tool but need to calibrate potential unrepresentativeness of the included trials to a target population. Estimating target population average treatment effects (TATE) in meta-an...

    Authors: Hwanhee Hong, Lu Liu, Ramin Mojtabai and Elizabeth A. Stuart
    Citation: BMC Medical Research Methodology 2023 23:150
  34. Active-control trials, where an experimental treatment is compared with an established treatment, are performed when the inclusion of a placebo control group is deemed to be unethical. For time-to-event outcom...

    Authors: David T. Dunn, Oliver T. Stirrup, Sheena McCormack and David V. Glidden
    Citation: BMC Medical Research Methodology 2023 23:149
  35. Pragmatic clinical trials (PCTs) are designed to reflect how an investigational treatment would be applied in clinical practice. As such, unlike their explanatory counterparts, they measure therapeutic effecti...

    Authors: Robbe Saesen, Kevin Depreytere, Karyna Krupianskaya, Joël Langeweg, Julie Verheecke, Denis Lacombe and Isabelle Huys
    Citation: BMC Medical Research Methodology 2023 23:148
  36. To produce quality data that informs valid clinical trial results and withstands regulatory inspection, trial sites should adhere to many complex and dynamic requirements. Understanding non-conformance to requ...

    Authors: Fatima Laher, Mookho Malahleha, Shelly Ramirez, William Brumskine, Kennedy Otwombe, Zoe Moodie and Mary Allen
    Citation: BMC Medical Research Methodology 2023 23:147
  37. To develop and validate a screening tool to identify patients with a high likelihood for Spondyloarthritis (SpA) in the Democratic Republic of the Congo (DR Congo).

    Authors: P Lebughe Litite, R. Westhovens, A. Nkodila, J. J. Malemba and K. de Vlam
    Citation: BMC Medical Research Methodology 2023 23:145
  38. Machine learning tools such as random forests provide important opportunities for modeling large, complex modern data generated in medicine. Unfortunately, when it comes to understanding why machine learning mode...

    Authors: Meredith L. Wallace, Lucas Mentch, Bradley J. Wheeler, Amanda L. Tapia, Marc Richards, Siyu Zhou, Lixia Yi, Susan Redline and Daniel J. Buysse
    Citation: BMC Medical Research Methodology 2023 23:144
  39. Up to 8% of the general population have a rare disease, however, for lack of ICD-10 codes for many rare diseases, this population cannot be generically identified in large medical datasets. We aimed to explore fr...

    Authors: Thomas S. Tröster, Viktor von Wyl, Patrick E. Beeler and Holger Dressel
    Citation: BMC Medical Research Methodology 2023 23:143
  40. Improving the health and well-being of young people is a public health priority. Schools present an ideal setting to implement strategies to improve young people’s health and well-being. A key strategy involve...

    Authors: Lorna M. Hatch, Emily C. Widnall, Patricia N. Albers, Georgina L. Hopkins, Judi Kidger, Frank de Vocht, Eileen Kaner, Esther M. F. van Sluijs, Hannah Fairbrother, Russell Jago and Rona M. Campbell
    Citation: BMC Medical Research Methodology 2023 23:142
  41. The WHO model has laboratory-based and non-laboratory-based versions for 10-year risk prediction of cardiovascular diseases. Due to the fact that in some settings, there may not be the necessary facilities for...

    Authors: Azizallah Dehghan, Ali Rayatinejad, Rozhan Khezri, Dagfinn Aune and Fatemeh Rezaei
    Citation: BMC Medical Research Methodology 2023 23:141
  42. Network meta-analysis (NMA) allows estimating and ranking the effects of several interventions for a clinical condition. Component network meta-analysis (CNMA) is an extension of NMA which considers the indivi...

    Authors: Maria Petropoulou, Gerta Rücker, Stephanie Weibel, Peter Kranke and Guido Schwarzer
    Citation: BMC Medical Research Methodology 2023 23:140
  43. Days alive without life support (DAWOLS) and similar outcomes that seek to summarise mortality and non-mortality experiences are increasingly used in critical care research. The use of these outcomes is challe...

    Authors: Anders Granholm, Benjamin Skov Kaas-Hansen, Theis Lange, Marie Warrer Munch, Michael O. Harhay, Fernando G. Zampieri, Anders Perner, Morten Hylander Møller and Aksel Karl Georg Jensen
    Citation: BMC Medical Research Methodology 2023 23:139
  44. The Behavioral Risk Factor Surveillance System (BRFSS) is an annual survey designed to identify trends in the public’s health. In its 2019 field survey, the U.S. state of GA tested a new 3 – item module to mea...

    Authors: Changle Li, Toni P. Miles, Ye Shen, Rana Bayakly, Moses Ido and M. Mahmud Khan
    Citation: BMC Medical Research Methodology 2023 23:138
  45. The Engage Study is a longitudinal biobehavioral cohort study of gay, bisexual and other men who have sex with men (GBM) in Toronto, Montreal, and Vancouver. Baseline data (2,449 participants) were collected ...

    Authors: Jordan M. Sang, Bita Gholamian, Lu Wang, Justin Barath, Syed W. Noor, Nathan J. Lachowsky, Trevor A. Hart, Joseph Cox, Gilles Lambert, Daniel Grace, Shayna Skakoon-Sparling, Allan Lal, Abbie Parlette, Herak Apelian, Jody Jollimore, Robert S. Hogg…
    Citation: BMC Medical Research Methodology 2023 23:136

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