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  1. Group sequential designs incorporating the option to stop for futility at the time point of an interim analysis can save time and resources. Thereby, the choice of the futility boundary importantly impacts the...

    Authors: Michaela Maria Freitag, Xieran Li and Geraldine Rauch
    Citation: BMC Medical Research Methodology 2024 24:80
  2. The screening process for systematic reviews and meta-analyses in medical research is a labor-intensive and time-consuming task. While machine learning and deep learning have been applied to facilitate this pr...

    Authors: Mahbod Issaiy, Hossein Ghanaati, Shahriar Kolahi, Madjid Shakiba, Amir Hossein Jalali, Diana Zarei, Sina Kazemian, Mahsa Alborzi Avanaki and Kavous Firouznia
    Citation: BMC Medical Research Methodology 2024 24:78
  3. SARS-CoV-2 vaccines are effective in reducing hospitalization, COVID-19 symptoms, and COVID-19 mortality for nursing home (NH) residents. We sought to compare the accuracy of various machine learning models, e...

    Authors: Komal Aryal, Fabrice I. Mowbray, Anna Miroshnychenko, Ryan P. Strum, Darly Dash, Michael P. Hillmer, Kamil Malikov, Andrew P. Costa and Aaron Jones
    Citation: BMC Medical Research Methodology 2024 24:77
  4. Legal requirements, certification specifications, as well as the demand for real world data on cancer research and treatment led to the decision to establish the University Clinical Cancer Registry Regensburg....

    Authors: Anna Saibold, Michael Koller, Karolina Mueller, Oliver Koelbl, Veronika Vielsmeier, Tobias Pukrop, Oliver Spies, Vivian Eilers, Cathleen Brese, Denise Amann and Julia Maurer
    Citation: BMC Medical Research Methodology 2024 24:76
  5. Diabetes is one of the top four non-communicable diseases that cause death and illness to many people around the world. This study aims to use an efficient count data model to estimate socio-environmental fact...

    Authors: Sauda Hatibu Mbwambo, Maurice C. Mbago and Gadde Srinivasa Rao
    Citation: BMC Medical Research Methodology 2024 24:75
  6. One key aspect of personalized medicine is to identify individuals who benefit from an intervention. Some approaches have been developed to estimate individualized treatment effects (ITE) with a single randomi...

    Authors: Florie Bouvier, Anna Chaimani, Etienne Peyrot, François Gueyffier, Guillaume Grenet and Raphaël Porcher
    Citation: BMC Medical Research Methodology 2024 24:74
  7. Misclassification bias (MB) is the deviation of measured from true values due to incorrect case assignment. This study compared MB when cystectomy status was determined using administrative database codes vs. ...

    Authors: James Ross, Luke T. Lavallee, Duane Hickling and Carl van Walraven
    Citation: BMC Medical Research Methodology 2024 24:73
  8. In the causal mediation analysis framework, several parametric regression-based approaches have been introduced in past years for decomposing the total effect of an exposure on a binary outcome into a direct e...

    Authors: Miguel Caubet, Kevin L’Espérance, Anita Koushik and Geneviève Lefebvre
    Citation: BMC Medical Research Methodology 2024 24:72
  9. Patients with multiple conditions present a growing challenge for healthcare provision. Measures of multimorbidity may support clinical management, healthcare resource allocation and accounting for the health ...

    Authors: Hannah Harrison, Samantha Ip, Cristina Renzi, Yangfan Li, Matthew Barclay, Juliet Usher-Smith, Georgios Lyratzopoulos, Angela Wood and Antonis C. Antoniou
    Citation: BMC Medical Research Methodology 2024 24:71
  10. Intensive longitudinal data (ILD) collected in near real time by mobile health devices provide a new opportunity for monitoring chronic diseases, early disease risk prediction, and disease prevention in health...

    Authors: Qing Yang, Meilin Jiang, Cai Li, Sheng Luo, Matthew J. Crowley and Ryan J. Shaw
    Citation: BMC Medical Research Methodology 2024 24:69
  11. The challenging nature of studies with incarcerated populations and other offender groups can impede the conduct of research, particularly that involving complex study designs such as randomised control trials...

    Authors: George Karystianis, Wilson Lukmanjaya, Iain Buchan, Paul Simpson, Natasha Ginnivan, Goran Nenadic and Tony Butler
    Citation: BMC Medical Research Methodology 2024 24:68
  12. Advancements in linking publicly available census records with vital and administrative records have enabled novel investigations in epidemiology and social history. However, in the absence of unique identifie...

    Authors: Arielle K. Marks-Anglin, Frances K. Barg, Michelle Ross, Douglas J. Wiebe and Wei-Ting Hwang
    Citation: BMC Medical Research Methodology 2024 24:67
  13. Treatment variation from observational data has been used to estimate patient-specific treatment effects. Causal Forest Algorithms (CFAs) developed for this task have unknown properties when treatment effect hete...

    Authors: John M. Brooks, Cole G. Chapman, Brian K. Chen, Sarah B. Floyd and Neset Hikmet
    Citation: BMC Medical Research Methodology 2024 24:66
  14. The Core Outcome Measures in Effectiveness Trials (COMET) working group proposed core outcome sets (COS) to address the heterogeneity in outcome measures in clinical studies. According to the recommendations o...

    Authors: Hong Cao, Yan Chen, Zhihao Yang, Junjie Lan, Joey Sum-wing Kwong, Rui Zhang, Huaye Zhao, Linfang Hu, Jiaxue Wang, Shuimei Sun, Songsong Tan, Jinyong Cao, Rui He, Wenyi Zheng and Jiaxing Zhang
    Citation: BMC Medical Research Methodology 2024 24:65
  15. In some medical indications, numerous interventions have a weak presumption of efficacy, but a good track record or presumption of safety. This makes it feasible to evaluate them simultaneously. This study eva...

    Authors: Skerdi Haviari and France Mentré
    Citation: BMC Medical Research Methodology 2024 24:64
  16. Laboratory data can provide great value to support research aimed at reducing the incidence, prolonging survival and enhancing outcomes of cancer. Data is characterized by the information it carries and the fo...

    Authors: Amman Yusuf, Devon J. Boyne, Dylan E. O’Sullivan, Darren R. Brenner, Winson Y. Cheung, Imran Mirza and Tamer N. Jarada
    Citation: BMC Medical Research Methodology 2024 24:63
  17. Interrupted time series (ITS) design is a commonly used method for evaluating large-scale interventions in clinical practice or public health. However, improperly using this method can lead to biased results.

    Authors: Yuanjin Zhang, Yan Ren, Yunxiang Huang, Minghong Yao, Yulong Jia, Yuning Wang, Fan Mei, Kang Zou, Jing Tan and Xin Sun
    Citation: BMC Medical Research Methodology 2024 24:62
  18. The provision of data sharing statements (DSS) for clinical trials has been made mandatory by different stakeholders. DSS are a device to clarify whether there is intention to share individual participant data...

    Authors: Christian Ohmann, Maria Panagiotopoulou, Steve Canham, Gerd Felder and Pablo Emilio Verde
    Citation: BMC Medical Research Methodology 2024 24:61
  19. The minimal important difference is a valuable metric in ascertaining the clinical relevance of a treatment, offering valuable guidance in patient management. There is a lack of available evidence concerning t...

    Authors: Jordana Barbosa-Silva, Letícia Bojikian Calixtre, Daniela Von Piekartz, Patricia Driusso and Susan Armijo-Olivo
    Citation: BMC Medical Research Methodology 2024 24:60
  20. The primary treatment for patients with myocardial infarction (MI) is percutaneous coronary intervention (PCI). Despite this, the incidence of major adverse cardiovascular events (MACEs) remains a significant ...

    Authors: Xiang Zhu, Pin Zhang, Han Jiang, Jie Kuang and Lei Wu
    Citation: BMC Medical Research Methodology 2024 24:59
  21. There is divergence in the rate at which people age. The concept of biological age is postulated to capture this variability, and hence to better represent an individual’s true global physiological state than ...

    Authors: Marije H. Sluiskes, Jelle J. Goeman, Marian Beekman, P. Eline Slagboom, Hein Putter and Mar Rodríguez-Girondo
    Citation: BMC Medical Research Methodology 2024 24:58
  22. The stepped-wedge cluster randomized trial (SW-CRT) design has become popular in healthcare research. It is an appealing alternative to traditional cluster randomized trials (CRTs) since the burden of logistic...

    Authors: Chen Yang, Asem Berkalieva, Madhu Mazumdar and Deukwoo Kwon
    Citation: BMC Medical Research Methodology 2024 24:57
  23. In clinical trials and epidemiological research, mixed-effects models are commonly used to examine population-level and subject-specific trajectories of biomarkers over time. Despite their increasing popularit...

    Authors: Melkamu M. Ferede, Getachew A. Dagne, Samuel M. Mwalili, Workagegnehu H. Bilchut, Habtamu A. Engida and Simon M. Karanja
    Citation: BMC Medical Research Methodology 2024 24:56
  24. Research Electronic Data CAPture (REDCap) is a web application for creating and managing online surveys and databases. Clinical data management is an essential process before performing any statistical analysi...

    Authors: João Carmezim, Pau Satorra, Judith Peñafiel, Esther García-Lerma, Natàlia Pallarès, Naiara Santos and Cristian Tebé
    Citation: BMC Medical Research Methodology 2024 24:55
  25. A variety of methods exist for the analysis of longitudinal data, many of which are characterized with the assumption of fixed visit time points for study individuals. This, however is not always a tenable ass...

    Authors: Michael Safo Oduro
    Citation: BMC Medical Research Methodology 2024 24:54
  26. Public health initiatives, including human biomonitoring, have been impacted by unique challenges since the onset of the COVID-19 pandemic, compounding a decades-long trend of declining public participation. T...

    Authors: Alyssa J. Mattson, Jiali Yu, Elizabeth M. Miller, Michael Schueller, Michael Pentella and Susie Y. Dai
    Citation: BMC Medical Research Methodology 2024 24:53
  27. The design of a multi-center randomized controlled trial (RCT) involves multiple considerations, such as the choice of the sample size, the number of centers and their geographic location, the strategy for rec...

    Authors: Oleksandr Sverdlov, Yevgen Ryeznik, Volodymyr Anisimov, Olga M. Kuznetsova, Ruth Knight, Kerstine Carter, Sonja Drescher and Wenle Zhao
    Citation: BMC Medical Research Methodology 2024 24:52
  28. Eurotransplant liver transplant candidates are prioritized by Model for End-stage Liver Disease (MELD), a 90-day waitlist survival risk score based on the INR, creatinine and bilirubin. Several studies revised...

    Authors: H. C. de Ferrante, M. van Rosmalen, B. M. L. Smeulders, S. Vogelaar and F. C. R. Spieksma
    Citation: BMC Medical Research Methodology 2024 24:51
  29. The determination of identity factors such as age and sex has gained significance in both criminal and civil cases. Paranasal sinuses like frontal and maxillary sinuses, are resistant to trauma and can aid pro...

    Authors: Omid Hamidi, Mahlagha Afrasiabi and Marjan Namaki
    Citation: BMC Medical Research Methodology 2024 24:50
  30. Several approaches are commonly used to estimate the effect of diet on changes of various intermediate disease markers in prospective studies, including “change-score analysis”, “concurrent change-change analy...

    Authors: Dan Tang, Yifan Hu, Ning Zhang, Xiong Xiao and Xing Zhao
    Citation: BMC Medical Research Methodology 2024 24:49
  31. In recent years, the use of non- and semi-parametric models which estimate hazard ratios for analysing time-to-event outcomes is continuously criticized in terms of interpretation, technical implementation, an...

    Authors: Dina Voeltz, Annika Hoyer, Amelie Forkel, Anke Schwandt and Oliver Kuß
    Citation: BMC Medical Research Methodology 2024 24:48
  32. Successfully recruiting male participants to complete a healthcare related study is important for healthcare study completion and to advance our clinical knowledgebase. To date, most research studies have exam...

    Authors: Danielle J. Borg, Melina Haritopoulou-Sinanidou, Pam Gabrovska, Hsu-Wen Tseng, David Honeyman, Daniel Schweitzer and Kym M. Rae
    Citation: BMC Medical Research Methodology 2024 24:46
  33. Scoping reviews have emerged as a valuable method for synthesizing emerging evidence, providing a comprehensive contextual overview, and influencing policy and practice developments. The objective of this stud...

    Authors: Xinyu Xue, Xintong Tang, Shanshan Liu, Ting Yu, Zhonglan Chen, Ningsu Chen and Jiajie Yu
    Citation: BMC Medical Research Methodology 2024 24:45
  34. The residual life of a patient with human immunodeficiency virus (HIV) is of major interest to patients and their physicians. While existing analyses of HIV patient survival focus mostly on data collected at b...

    Authors: Soo Min Kim, Yunsu Choi, Sangwook Kang and Korea HIV/AIDS cohort study
    Citation: BMC Medical Research Methodology 2024 24:44
  35. People with dementia are routinely included as research participants in trials and other quantitative studies in which they are invited to respond to standardised measures. This paper reviews the reporting of ...

    Authors: Kate Gridley, Kate Baxter and Yvonne Birks
    Citation: BMC Medical Research Methodology 2024 24:43
  36. Group sequential designs are one of the most widely used methodologies for adaptive design in randomized clinical trials. In settings where early outcomes are available, they offer large gains in efficiency co...

    Authors: Nick R. Parsons, Joydeep Basu and Nigel Stallard
    Citation: BMC Medical Research Methodology 2024 24:42
  37. Missing data is frequently an inevitable issue in cohort studies and it can adversely affect the study's findings. We assess the effectiveness of eight frequently utilized statistical and machine learning (ML)...

    Authors: JiaHang Li, ShuXia Guo, RuLin Ma, Jia He, XiangHui Zhang, DongSheng Rui, YuSong Ding, Yu Li, LeYao Jian, Jing Cheng and Heng Guo
    Citation: BMC Medical Research Methodology 2024 24:41
  38. Data mining has been used to help discover Frequent patterns in health data. it is widely used to diagnose and prevent various diseases and to obtain the causes and factors affecting diseases. Therefore, the a...

    Authors: Zahra Kohzadi, Ali Mohammad Nickfarjam, Leila Shokrizadeh Arani, Zeinab Kohzadi and Mehrdad Mahdian
    Citation: BMC Medical Research Methodology 2024 24:40
  39. Surrogate endpoints, such as those of interest in chronic kidney disease (CKD), are often evaluated using Bayesian meta-regression. Trials used for the analysis can evaluate a variety of interventions for diff...

    Authors: Willem Collier, Benjamin Haaland, Lesley A. Inker, Hiddo J.L. Heerspink and Tom Greene
    Citation: BMC Medical Research Methodology 2024 24:39
  40. Several strategies for identifying biologically implausible values in longitudinal anthropometric data have recently been proposed, but the suitability of these strategies for large population datasets needs t...

    Authors: Juliana Freitas de Mello e Silva, Natanael de Jesus Silva, Thaís Rangel Bousquet Carrilho, Elizabete de Jesus Pinto, Aline Santos Rocha, Jéssica Pedroso, Sara Araújo Silva, Ana Maria Spaniol, Rafaella da Costa Santin de Andrade, Gisele Ane Bortolini, Enny Paixão, Gilberto Kac, Rita de Cássia Ribeiro-Silva and Maurício L. Barreto
    Citation: BMC Medical Research Methodology 2024 24:38
  41. Despite the fact that team manual handling is common in different working environments, the previous studies in this regard, particularly those with a physiological approach are quite limited. The present stud...

    Authors: Mohammad Hamed Hosseini, Rashid Heidarimoghaddam, Mehrdad Anbarian, Saeed Ilbeigi and Leili Tapak
    Citation: BMC Medical Research Methodology 2024 24:37
  42. Surveys have been used worldwide to provide information on the COVID-19 pandemic impact so as to prepare and deliver an effective Public Health response. Overlapping panel surveys allow longitudinal estimates ...

    Authors: Luis Castro, María del Mar Rueda, Carmen Sánchez-Cantalejo, Ramón Ferri and Andrés Cabrera-León
    Citation: BMC Medical Research Methodology 2024 24:36
  43. The importance of contextual effects and their roles in clinical care controversial. A Cochrane review published in 2010 concluded that placebo interventions lack important clinical effects overall, but that p...

    Authors: Tobias Saueressig, Hugo Pedder, Patrick J Owen and Daniel L Belavy
    Citation: BMC Medical Research Methodology 2024 24:35
  44. Mendelian randomization is a popular method for causal inference with observational data that uses genetic variants as instrumental variables. Similarly to a randomized trial, a standard Mendelian randomizatio...

    Authors: Haodong Tian, Brian D. M. Tom and Stephen Burgess
    Citation: BMC Medical Research Methodology 2024 24:34
  45. The purpose of this paper is to evaluate the impact of modifying the published scoring system to address identified potential weaknesses in the published scoring system for the Evaluation of Activity Surveys i...

    Authors: Julie Agel, Umesh Ghimire, Nicholas M. Edwards, Bradley Nelson and Todd Rockwood
    Citation: BMC Medical Research Methodology 2024 24:33
  46. When studying the association between treatment and a clinical outcome, a parametric multivariable model of the conditional outcome expectation is often used to adjust for covariates. The treatment coefficient...

    Authors: Antonio Remiro-Azócar, Anna Heath and Gianluca Baio
    Citation: BMC Medical Research Methodology 2024 24:32
  47. The Interrupted Time Series (ITS) is a robust design for evaluating public health and policy interventions or exposures when randomisation may be infeasible. Several statistical methods are available for the a...

    Authors: Elizabeth Korevaar, Simon L. Turner, Andrew B. Forbes, Amalia Karahalios, Monica Taljaard and Joanne E. McKenzie
    Citation: BMC Medical Research Methodology 2024 24:31

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