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

  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. While medical studies generally provide health feedback to participants, in observational studies this is not always the case due to logistical and financial difficulties, or concerns about changing observed b...

    Authors: Michaela Benzeval, Alexandria Andrayas, Jan Mazza, Tarek Al Baghal, Jonathan Burton, Thomas F. Crossley and Meena Kumari
    Citation: BMC Medical Research Methodology 2023 23:134
  24. PONV reduces patient satisfaction and increases hospital costs as patients remain in the hospital for longer durations. In this study, we build a preliminary artificial intelligence algorithm model to predict ...

    Authors: Cheng-Mao Zhou, Ying Wang, Qiong Xue, Jian-Jun Yang and Yu Zhu
    Citation: BMC Medical Research Methodology 2023 23:133
  25. In economic evaluations, survival is often extrapolated to smooth out the Kaplan-Meier estimate and because the available data (e.g., from randomized controlled trials) are often right censored. Validation of ...

    Authors: LJ Bakker, FW Thielen, WK Redekop, CA Uyl-de Groot and HM Blommestein
    Citation: BMC Medical Research Methodology 2023 23:132
  26. The recent progress in molecular biology generates an increasing interest in investigating molecular biomarkers as markers of response to treatments. The present work is motivated by a study, where the objecti...

    Authors: Maeregu Woldeyes Arisido, Luisa Foco, Robin Shoemaker, Roberto Melotti, Christian Delles, Martin Gögele, Stefano Barolo, Stephanie Baron, Michel Azizi, Anna F. Dominiczak, Maria-Christina Zennaro, Peter P. Pramstaller, Marko Poglitsch and Cristian Pattaro
    Citation: BMC Medical Research Methodology 2023 23:131
  27. Missing diagnoses are common in cross-sectional studies of dementia, and this missingness is usually related to whether the respondent has dementia or not. Failure to properly address this issue can lead to un...

    Authors: Chong Shen, Minyue Pei, Xiaoxiao Wang, Yiming Zhao, Luning Wang, Jiping Tan, Ke Deng and Nan Li
    Citation: BMC Medical Research Methodology 2023 23:130
  28. There is a rapid increase in the incidence of inflammatory bowel diseases (IBD) in newly industrialized countries, yet epidemiological data is incomplete. We herein report the methodology adopted to study the ...

    Authors: Joyce W. Y. Mak, Yang Sun, Julajak Limsrivilai, Murdani Abdullah, Jamilya Kaibullayeva, Domingo Balderramo, Beatriz Iade Vergara, Mukesh Sharma Paudel, Rupa Banerjee, Ida Hilmi, Raja Affendi Raja Ali, Shu Chen Wei, Ka Kei Ng, Mansour Altuwaijri, Paul Kelly, Jesus K. Yamamoto-Furusho…
    Citation: BMC Medical Research Methodology 2023 23:129
  29. Although superficially similar to data from clinical research, data extracted from electronic health records may require fundamentally different approaches for model building and analysis. Because electronic h...

    Authors: Tianyao Huo, Deborah H. Glueck, Elizabeth A. Shenkman and Keith E. Muller
    Citation: BMC Medical Research Methodology 2023 23:128
  30. The statistical models developed for meta-analysis of diagnostic test accuracy studies require specialised knowledge to implement. This is especially true since recent guidelines, such as those in Version 2 of...

    Authors: Enzo Cerullo, Alex J. Sutton, Hayley E. Jones, Olivia Wu, Terry J. Quinn and Nicola J. Cooper
    Citation: BMC Medical Research Methodology 2023 23:127
  31. Modelling the course of a disease regarding severe events and identifying prognostic factors is of great clinical relevance. Multistate models (MSM) can be used to describe diseases or processes that change ov...

    Authors: Leire Garmendia Bergés, Jordi Cortés Martínez and Guadalupe Gómez Melis
    Citation: BMC Medical Research Methodology 2023 23:126
  32. Cancer registries collect patient-specific information about cancer diseases. The collected information is verified and made available to clinical researchers, physicians, and patients. When processing informa...

    Authors: Philipp Röchner and Franz Rothlauf
    Citation: BMC Medical Research Methodology 2023 23:125
  33. Integrated traditional Chinese and western medicine (ITCWM), as a representative type of complex intervention, is commonly used for the treatment of angina pectoris (AP) in clinical practice. However, it is un...

    Authors: Jiashuai Deng, Juan He, Juan Wang, Chung Wah Cheng, Yalin Jiao, Nana Wang, Ji Li, Ping Wang, Fei Han, Aiping Lyu, Zhaoxiang Bian and Xuan Zhang
    Citation: BMC Medical Research Methodology 2023 23:124
  34. HIV is one of the deadliest epidemics and one of the most critical global public health issues. Some are susceptible to die among people living with HIV and some survive longer. The aim of the present study is...

    Authors: Khadijeh Najafi Ghobadi, Ghodratollah Roshanaei, Jalal Poorolajal, Ebrahim Shakiba, Kaivan KHassi and Hossein Mahjub
    Citation: BMC Medical Research Methodology 2023 23:123
  35. To estimate causal effects, analysts performing observational studies in health settings utilize several strategies to mitigate bias due to confounding by indication. There are two broad classes of approaches ...

    Authors: Roy S. Zawadzki, Joshua D. Grill and Daniel L. Gillen
    Citation: BMC Medical Research Methodology 2023 23:122
  36. Sub-cohort sampling designs such as a case-cohort study play a key role in studying biomarker-disease associations due to their cost effectiveness. Time-to-event outcome is often the focus in cohort studies, a...

    Authors: Myeonggyun Lee, Jinbo Chen, Anne Zeleniuch-Jacquotte and Mengling Liu
    Citation: BMC Medical Research Methodology 2023 23:119
  37. Data-sharing is increasingly encouraged or required by funders and journals. Data-sharing is more complicated for lifecourse studies that rely upon ongoing participation, but little is known about perspectives...

    Authors: Jane Reeves, Gareth J. Treharne, Mihi Ratima, Reremoana Theodore, Will Edwards and Richie Poulton
    Citation: BMC Medical Research Methodology 2023 23:118
  38. A Trial within Cohorts (TwiCs) study design is a trial design that uses the infrastructure of an observational cohort study to initiate a randomized trial. Upon cohort enrollment, the participants provide cons...

    Authors: Rob Kessels, Anne M. May, Miriam Koopman and Kit C. B. Roes
    Citation: BMC Medical Research Methodology 2023 23:117
  39. Effectiveness-implementation hybrid designs are a relatively new approach to evaluate efficacious interventions in real-world settings while concurrently gathering information on the implementation. Interventi...

    Authors: Diana Trutschel, Catherine Blatter, Michael Simon, Daniela Holle, Sven Reuther and Thekla Brunkert
    Citation: BMC Medical Research Methodology 2023 23:116
  40. Guidance and reporting principles such as CONSORT (for randomised trials) and PRISMA (for systematic reviews) have greatly improved the reporting, discoverability, transparency and consistency of published res...

    Authors: Sara E. Shaw, Sara Paparini, Jamie Murdoch, Judith Green, Trisha Greenhalgh, Benjamin Hanckel, Hannah M. James, Mark Petticrew, Gary W. Wood and Chrysanthi Papoutsi
    Citation: BMC Medical Research Methodology 2023 23:115
  41. Clinical outcomes are normally captured less frequently than data from remote technologies, leaving a disparity in volumes of data from these different sources. To align these data, flexible polynomial regress...

    Authors: Nicole Filipow, Eleanor Main, Gizem Tanriver, Emma Raywood, Gwyneth Davies, Helen Douglas, Aidan Laverty and Sanja Stanojevic
    Citation: BMC Medical Research Methodology 2023 23:114
  42. Virtual data collection methods and consent procedures adopted in response to the COVID-19 pandemic enabled continued research activities, but also introduced concerns about equity, inclusivity, representation...

    Authors: Serena S Small, Erica Lau, Kassandra McFarlane, Patrick M Archambault, Holly Longstaff and Corinne M Hohl
    Citation: BMC Medical Research Methodology 2023 23:113
  43. Failure to appropriately account for unmeasured confounding may lead to erroneous conclusions. Quantitative bias analysis (QBA) can be used to quantify the potential impact of unmeasured confounding or how muc...

    Authors: Emily Kawabata, Kate Tilling, Rolf H. H. Groenwold and Rachael A. Hughes
    Citation: BMC Medical Research Methodology 2023 23:111
  44. To understand and prevent sport injuries, scholars have employed different scientific approaches and research methods. Traditionally, this research has been monodisciplinary, relying on one subdiscipline of sp...

    Authors: S.E Hausken-Sutter, K Boije af Gennäs, A Schubring, S Grau, J Jungmalm and N Barker-Ruchti
    Citation: BMC Medical Research Methodology 2023 23:110

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