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  1. With continuous outcomes, the average causal effect is typically defined using a contrast of expected potential outcomes. However, in the presence of skewed outcome data, the expectation (population mean) may ...

    Authors: Daisy A. Shepherd, Benjamin R. Baer and Margarita Moreno-Betancur
    Citation: BMC Medical Research Methodology 2023 23:288
  2. Qualitative longitudinal research (QLR) is an emerging methodology used in health research. The method literature states that the change in a phenomenon through time should be the focus of any QLR study, but i...

    Authors: Åsa Audulv, Thomas Westergren, Mette Spliid Ludvigsen, Mona Kyndi Pedersen, Liv Fegran, Elisabeth O. C. Hall, Hanne Aagaard, Nastasja Robstad and Åsa Kneck
    Citation: BMC Medical Research Methodology 2023 23:284
  3. Clinical practice guidelines (CPGs) are evaluated for quality with the Appraisal of Guidelines for Research and Evaluation (AGREE) tool, and this is increasingly done for different countries and regional group...

    Authors: Marli Mc Allister, Ivan D. Florez, Suzaan Stoker and Michael McCaul
    Citation: BMC Medical Research Methodology 2023 23:283
  4. This study aimed to assess the methodological quality of the systematic reviews/meta-analyses (SRs/MAs) of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) using A Measurement Tool to Assess systemat...

    Authors: Xin Guan, Yongfeng Lao, Jian Wang, Yanan Wang, Yanan Bai, Xiaolong Li, Shuai Liu, Zewen Li, Fuhan Li and Zhilong Dong
    Citation: BMC Medical Research Methodology 2023 23:281
  5. Automated feature selection methods such as the Least Absolute Shrinkage and Selection Operator (LASSO) have recently gained importance in the prediction of quality-related outcomes as well as the risk-adjustm...

    Authors: Stella Bollmann, Andreas Groll and Michael M. Havranek
    Citation: BMC Medical Research Methodology 2023 23:280
  6. Clinical trials often seek to determine the superiority, equivalence, or non-inferiority of an experimental condition (e.g., a new drug) compared to a control condition (e.g., a placebo or an already existing ...

    Authors: Maximilian Linde and Don van Ravenzwaaij
    Citation: BMC Medical Research Methodology 2023 23:279
  7. Factors influencing the health of populations are subjects of interdisciplinary study. However, datasets relevant to public health often lack interdisciplinary breath. It is difficult to combine data on health...

    Authors: Ryan T. Rego, Yuri Zhukov, Kyrani A. Reneau, Amy Pienta, Kristina L. Rice, Patrick Brady, Geoffrey H. Siwo, Peninah Wanjiku Wachira, Amina Abubakar, Ken Kollman and Akbar K. Waljee
    Citation: BMC Medical Research Methodology 2023 23:278
  8. The interrupted time series (ITS) design is widely used to examine the effects of large-scale public health interventions and has the highest level of evidence validity. However, there is a notable gap regardi...

    Authors: Xiangliang Zhang, Kunpeng Wu, Yan Pan, Wenfang Zhong, Yixiang Zhou, Tingting Guo, Rong Yin and Wen Chen
    Citation: BMC Medical Research Methodology 2023 23:277
  9. Assessing malignancy risk is important to choose appropriate management of ovarian tumors. We compared six algorithms to estimate the probabilities that an ovarian tumor is benign, borderline malignant, stage ...

    Authors: Ashleigh Ledger, Jolien Ceusters, Lil Valentin, Antonia Testa, Caroline Van Holsbeke, Dorella Franchi, Tom Bourne, Wouter Froyman, Dirk Timmerman and Ben Van Calster
    Citation: BMC Medical Research Methodology 2023 23:276
  10. For certain conditions, treatments aim to lessen deterioration over time. A trial outcome could be change in a continuous measure, analysed using a random slopes model with a different slope in each treatment ...

    Authors: Katy E. Morgan, Ian R. White and Chris Frost
    Citation: BMC Medical Research Methodology 2023 23:274
  11. Since 1997, research on Gulf War illness (GWI) has predominantly used 3 case definitions—the original Research definition, the CDC definition, and modifications of the Kansas definition—but they have not been ...

    Authors: Robert W. Haley, Jill A. Dever, Gerald Kramer and John F. Teiber
    Citation: BMC Medical Research Methodology 2023 23:273
  12. In most African countries, confirmed COVID-19 case counts underestimate the number of new SARS-CoV-2 infection cases. We propose a multiplying factor to approximate the number of biologically probable new infe...

    Authors: YM Diarra, PM Wimba, PB Katchunga, J Bengehya, B Miganda, M Oyimangirwe, L Tshilolo, SM Ahuka, J Iwaz, JF Étard, R Écochard, P Vanhems and M Rabilloud
    Citation: BMC Medical Research Methodology 2023 23:272
  13. Real world evidence is now accepted by authorities charged with assessing the benefits and harms of new therapies. Clinical trials based on real world evidence are much less expensive than randomized clinical ...

    Authors: Alan Leviton and Tobias Loddenkemper
    Citation: BMC Medical Research Methodology 2023 23:271
  14. This systematic review aimed to identify effective methods to increase adolescents’ response to surveys about mental health and substance use, to improve the quality of survey information.

    Authors: Julia Bidonde, Jose F. Meneses-Echavez, Elisabet Hafstad, Geir Scott Brunborg and Lasse Bang
    Citation: BMC Medical Research Methodology 2023 23:270
  15. The design of clinical trials in rare diseases is often complicated by a lack of real-world translational knowledge. Fibrodysplasia ossificans progressiva (FOP) is an ultra-rare genetic disorder characterized ...

    Authors: Robert J. Pignolo, Mona Al Mukaddam, Geneviève Baujat, Matthew A. Brown, Carmen De Cunto, Edward C. Hsiao, Richard Keen, Kim-Hanh Le Quan Sang, Donna R. Grogan, Rose Marino, Andrew R. Strahs and Frederick S. Kaplan
    Citation: BMC Medical Research Methodology 2023 23:269
  16. Despite the interest in machine learning (ML) algorithms for analyzing real-world data (RWD) in healthcare, the use of ML in predicting time-to-event data, a common scenario in clinical practice, is less explo...

    Authors: Yinan Huang, Jieni Li, Mai Li and Rajender R. Aparasu
    Citation: BMC Medical Research Methodology 2023 23:268
  17. Planning the design of a new trial comparing two treatments already in a network of trials with an a-priori plan to estimate the effect size using a network meta-analysis increases power or reduces the sample ...

    Authors: Fangshu Ye, Chong Wang and Annette M. O’Connor
    Citation: BMC Medical Research Methodology 2023 23:267
  18. There is growing interest in whether linked administrative data have the potential to aid analyses subject to missing data in cohort studies.

    Authors: Nasir Rajah, Lisa Calderwood, Bianca L De Stavola, Katie Harron, George B Ploubidis and Richard J Silverwood
    Citation: BMC Medical Research Methodology 2023 23:266
  19. Suboptimal or slow recruitment affects 30–50% of trials. Education and training of trial recruiters has been identified as one strategy for potentially boosting recruitment to randomised controlled trials (her...

    Authors: V. Smith, H. Delaney, A. Hunter, D. Torgerson, S. Treweek, C. Gamble, N. Mills, K. Stanbury, E. Dempsey, M. Daly, J. O’Shea, K. Weatherup, S. Deshpande, M. A. Ryan, J. Lowe, G. Black…
    Citation: BMC Medical Research Methodology 2023 23:265
  20. Consensus methods are crucial in developing clinical guidelines. Different methods, such as the Delphi and nominal group techniques, are commonly used, but there is a lack of detailed instructions on how to im...

    Authors: Changhao Liang, Guanxiang Yin, Ziyi Lin, Jing Cui, Yaqi Wang, Siqi Liu, Dingran Yin, Pengwei Liu, Xiangfei Su, Hongguo Rong, Cheng Wang, Feng Sun and Yutong Fei
    Citation: BMC Medical Research Methodology 2023 23:264
  21. Abstracts provide readers a concise and readily accessible information of the trials. However, poor reporting quality and spin (misrepresentation of research findings) can lead to an overestimation in trial va...

    Authors: Feiyang Guo, Wengwanyue Ye, Danchen Qin, Xiaolin Fang, Fang Hua and Hong He
    Citation: BMC Medical Research Methodology 2023 23:263
  22. The concept of intersectionality proposes that demographic and social constructs intersect with larger social structures of oppression and privilege to shape experiences. While intersectionality is a widely ac...

    Authors: Isabel B. Rodrigues, Christine Fahim, Yasmin Garad, Justin Presseau, Alison M. Hoens, Jessica Braimoh, Diane Duncan, Lora Bruyn-Martin and Sharon E. Straus
    Citation: BMC Medical Research Methodology 2023 23:262
  23. Standard outcome sets enable the value-based evaluation of health care delivery. Whereas the attainment of expert opinion has been structured using methods such as the modified-Delphi process, standardized gui...

    Authors: KM Veen, A Joseph, F Sossi, P Blancarte Jaber, E Lansac, E Das-Gupta, S Aktaa and JJM Takkenberg
    Citation: BMC Medical Research Methodology 2023 23:261
  24. Data loss often occurs in the collection of clinical data. Directly discarding the incomplete sample may lead to low accuracy of medical diagnosis. A suitable data imputation method can help researchers make b...

    Authors: Mingxuan FAN, Xiaoling Peng, Xiaoyu Niu, Tao Cui and Qiaolin He
    Citation: BMC Medical Research Methodology 2023 23:259
  25. Subject-level real-world data (RWD) collected during daily healthcare practices are increasingly used in medical research to assess questions that cannot be addressed in the context of a randomized controlled ...

    Authors: Juha Mehtälä, Mehreen Ali, Timo Miettinen, Liisa Partanen, Kaisa Laapas, Petri T. Niemelä, Igor Khorlo, Sanna Ström, Samu Kurki, Jarno Vapalahti, Khaled Abdelgawwad and Jussi V. Leinonen
    Citation: BMC Medical Research Methodology 2023 23:258
  26. The comorbidity burden has a negative impact on lung-cancer survival. Several comorbidity scores have been described and are currently used. The current challenge is to select the comorbidity score that best r...

    Authors: Hélène Pluchart, Sébastien Bailly, Sébastien Chanoine, Denis Moro-Sibilot, Pierrick Bedouch and Anne-Claire Toffart
    Citation: BMC Medical Research Methodology 2023 23:256
  27. Looking for treatment-by-subset interaction on a right-censored outcome based on observational data using propensity-score (PS) modeling is of interest. However, there are still issues regarding its implementa...

    Authors: Florian Chatelet, Benjamin Verillaud and Sylvie Chevret
    Citation: BMC Medical Research Methodology 2023 23:255
  28. A substantial body of clinical research involving individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evaluated the association between in-hospital biomarkers and severe ...

    Authors: Tingyi Cao, Harrison T. Reeder and Andrea S. Foulkes
    Citation: BMC Medical Research Methodology 2023 23:254
  29. Physician participation in clinical trials is essential for the progress of modern medicine. However, the demand for physician research partners is outpacing physicians’ interest in participating in scientific...

    Authors: Carly A. Bobak, Deepika Mohan, Megan A. Murphy, Amber E. Barnato and A. James O’Malley
    Citation: BMC Medical Research Methodology 2023 23:253
  30. Technology advancement has allowed more frequent monitoring of biomarkers. The resulting data structure entails more frequent follow-ups compared to traditional longitudinal studies where the number of follow-...

    Authors: Rahul Biswas, Marie Thoma and Xiangrong Kong
    Citation: BMC Medical Research Methodology 2023 23:251
  31. Evidence-based treatment decisions in medicine are made founded on population-level evidence obtained during randomized clinical trials. In an era of personalized medicine, these decisions should be based on t...

    Authors: Iwan Paolucci, Yuan-Mao Lin, Jessica Albuquerque Marques Silva, Kristy K. Brock and Bruno C. Odisio
    Citation: BMC Medical Research Methodology 2023 23:250
  32. To predict the influencing factors of neonatal pneumonia in pregnant women with diabetes mellitus using a Bayesian network model. By examining the intricate network connections between the numerous variables g...

    Authors: Yue Lin, Jia Shen Chen, Ni Zhong, Ao Zhang and Haiyan Pan
    Citation: BMC Medical Research Methodology 2023 23:249
  33. Causal inference helps researchers and policy-makers to evaluate public health interventions. When comparing interventions or public health programs by leveraging observational sensitive individual-level data ...

    Authors: Marjan Meurisse, Francisco Estupiñán-Romero, Javier González-Galindo, Natalia Martínez-Lizaga, Santiago Royo-Sierra, Simon Saldner, Lorenz Dolanski-Aghamanoukjan, Alexander Degelsegger-Marquez, Stian Soiland-Reyes, Nina Van Goethem and Enrique Bernal-Delgado
    Citation: BMC Medical Research Methodology 2023 23:248
  34. When estimating the causal effect on survival outcomes in observational studies, it is necessary to adjust confounding factors due to unbalanced covariates between treatment and control groups. There is no stu...

    Authors: Ce Wang, Kecheng Wei, Chen Huang, Yongfu Yu and Guoyou Qin
    Citation: BMC Medical Research Methodology 2023 23:247
  35. Administrative healthcare claims databases are used in drug safety research but are limited for investigating the impacts of prenatal exposures on neonatal and pediatric outcomes without mother-infant pair ide...

    Authors: James Weaver, Jill H. Hardin, Clair Blacketer, Alexis A. Krumme, Melanie H. Jacobson and Patrick B. Ryan
    Citation: BMC Medical Research Methodology 2023 23:246
  36. Systematic reviews of randomized controlled trials are the best evidence for informing on intervention effectiveness. Their results, however, can be biased due to omitted evidence in the quantitative analyses....

    Authors: Stefano Giuseppe Lazzarini, Marzia Stella Yousif, Silvia Bargeri, Greta Castellini and Silvia Gianola
    Citation: BMC Medical Research Methodology 2023 23:245
  37. The COVID-19 pandemic required that our research team change our mail-only (MO) strategy for a research survey to a strategy more manageable by staff working remotely. We used a modified web-push approach (MWP...

    Authors: Varsha G. Vimalananda, Jolie B. Wormwood, Kailyn E. Sitter, B. Graeme Fincke, Shirley Qian, Maya N. Tait and Mark Meterko
    Citation: BMC Medical Research Methodology 2023 23:244
  38. Plasmode simulations are a type of simulations that use real data to determine the synthetic data-generating equations. Such simulations thus allow evaluating statistical methods under realistic conditions. As...

    Authors: Youssra Souli, Xavier Trudel, Awa Diop, Chantal Brisson and Denis Talbot
    Citation: BMC Medical Research Methodology 2023 23:242
  39. Near-real time surveillance of excess mortality has been an essential tool during the COVID-19 pandemic. It remains critical for monitoring mortality as the pandemic wanes, to detect fluctuations in the death ...

    Authors: Richard James Holleyman, Sharmani Barnard, Clarissa Bauer-Staeb, Andrew Hughes, Samantha Dunn, Sebastian Fox, John N. Newton, Justine Fitzpatrick, Zachary Waller, David John Deehan, Andre Charlett, Celia L. Gregson, Rebecca Wilson, Paul Fryers, Peter Goldblatt and Paul Burton
    Citation: BMC Medical Research Methodology 2023 23:241
  40. Data harmonisation is essential in real-world data (RWD) research projects based on hospital information systems databases, as coding systems differ between countries. The Hungarian hospital information system...

    Authors: Ágota Mészáros, Sándor Kovács, Tibor Héja, Zsolt Bagyura and Antal Zemplényi
    Citation: BMC Medical Research Methodology 2023 23:240
  41. Cancer surveillance researchers analyze incidence or mortality rates jointly indexed by age group and calendar period using age-period-cohort models. Many studies consider age- and period-specific rates in two...

    Authors: Philip S. Rosenberg, Adalberto Miranda-Filho and David C. Whiteman
    Citation: BMC Medical Research Methodology 2023 23:238
  42. Adaptive clinical trials are growing in popularity as they are more flexible, efficient and ethical than traditional fixed designs. However, notwithstanding their increased use in assessing treatments for COVI...

    Authors: W. Li, V. Cornelius, S. Finfer, B. Venkatesh and L. Billot
    Citation: BMC Medical Research Methodology 2023 23:236

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