Skip to main content

Data analysis, statistics and modelling

Section edited by Chiu-Hsieh (Paul) Hsu

This section considers manuscripts that investigate how statistical techniques can impact study results along with manuscripts that propose new statistical methods that have an application in medical research.

Page 1 of 12

  1. Network meta-analysis synthesises data from a number of clinical trials in order to assess the comparative efficacy of multiple healthcare interventions in similar patient populations. In situations where clin...

    Authors: Rhiannon K. Owen, Sylwia Bujkiewicz, Douglas G. Tincello and Keith R. Abrams

    Citation: BMC Medical Research Methodology 2020 20:184

    Content type: Research article

    Published on:

  2. Given the high prevalence of neck pain, the neck disability index (NDI) has been used to evaluate patient status and treatment outcomes. Modified versions were proposed as solutions to measurement deficits in ...

    Authors: Ze Lu, Joy C. MacDermid and Goris Nazari

    Citation: BMC Medical Research Methodology 2020 20:180

    Content type: Research article

    Published on:

  3. In epidemiology, causal inference and prediction modeling methodologies have been historically distinct. Directed Acyclic Graphs (DAGs) are used to model a priori causal assumptions and inform variable selecti...

    Authors: Marco Piccininni, Stefan Konigorski, Jessica L. Rohmann and Tobias Kurth

    Citation: BMC Medical Research Methodology 2020 20:179

    Content type: Technical advance

    Published on:

  4. Prognostic research has many important purposes, including (i) describing the natural history and clinical course of health conditions, (ii) investigating variables associated with health outcomes of interest,...

    Authors: Peter Kent, Carol Cancelliere, Eleanor Boyle, J. David Cassidy and Alice Kongsted

    Citation: BMC Medical Research Methodology 2020 20:172

    Content type: Debate

    Published on:

  5. Machine learning approaches have become increasingly popular modeling techniques, relying on data-driven heuristics to arrive at its solutions. Recent comparisons between these algorithms and traditional stati...

    Authors: Joshua J. Levy and A. James O’Malley

    Citation: BMC Medical Research Methodology 2020 20:171

    Content type: Technical advance

    Published on:

  6. When data are collected subject to a detection limit, observations below the detection limit may be considered censored. In addition, the domain of such observations may be restricted; for example, values may ...

    Authors: Justin R. Williams, Hyung-Woo Kim and Catherine M. Crespi

    Citation: BMC Medical Research Methodology 2020 20:170

    Content type: Research article

    Published on:

  7. Causal effect estimation with observational data is subject to bias due to confounding, which is often controlled for using propensity scores. One unresolved issue in propensity score estimation is how to hand...

    Authors: Donna L. Coffman, Jiangxiu Zhou and Xizhen Cai

    Citation: BMC Medical Research Methodology 2020 20:168

    Content type: Research article

    Published on:

  8. In medical research and practice, the p-value is arguably the most often used statistic and yet it is widely misconstrued as the probability of the type I error, which comes with serious consequences. This misund...

    Authors: Jian Gao

    Citation: BMC Medical Research Methodology 2020 20:167

    Content type: Commentary

    Published on:

  9. In a cross-sectional stepped-wedge trial with unequal cluster sizes, attained power in the trial depends on the realized allocation of the clusters. This attained power may differ from the expected power calcu...

    Authors: Yongdong Ouyang, Mohammad Ehsanul Karim, Paul Gustafson, Thalia S. Field and Hubert Wong

    Citation: BMC Medical Research Methodology 2020 20:166

    Content type: Research article

    Published on:

  10. Individual clinical trials and cohort studies are a useful source of data, often under-utilised once a study has ended. Pooling data from multiple sources could increase sample sizes and allow for further inve...

    Authors: Helen Le Sueur, Ian N. Bruce and Nophar Geifman

    Citation: BMC Medical Research Methodology 2020 20:164

    Content type: Debate

    Published on:

  11. Studies of agreement examine the distance between readings made by different devices or observers measuring the same quantity. If the values generated by each device are close together most of the time then we...

    Authors: Richard A. Parker, Charles Scott, Vanda Inácio and Nathaniel T. Stevens

    Citation: BMC Medical Research Methodology 2020 20:154

    Content type: Research article

    Published on:

  12. In meta-analyses of a binary outcome, double zero events in some studies cause a critical methodology problem. The generalized linear mixed model (GLMM) has been proposed as a valid statistical tool for poolin...

    Authors: Ke Ju, Lifeng Lin, Haitao Chu, Liang-Liang Cheng and Chang Xu

    Citation: BMC Medical Research Methodology 2020 20:152

    Content type: Research article

    Published on:

  13. Bayesian adaptive methods are increasingly being used to design clinical trials and offer several advantages over traditional approaches. Decisions at analysis points are usually based on the posterior distrib...

    Authors: Elizabeth G. Ryan, Kristian Brock, Simon Gates and Daniel Slade

    Citation: BMC Medical Research Methodology 2020 20:150

    Content type: Research article

    Published on:

  14. Stratification analyses have been widely utilized in molecular association meta-analyses to estimate the interaction between genetic and environmental factors or to control for the confounding variables linked...

    Authors: Shuhuang Lin, Yukun Ma and Zunnan Huang

    Citation: BMC Medical Research Methodology 2020 20:147

    Content type: Technical advance

    Published on:

  15. Despite widespread use, the accuracy of the diagnostic test for SARS-CoV-2 infection is poorly understood. The aim of our work was to better quantify misclassification errors in identification of true cases of...

    Authors: Igor Burstyn, Neal D. Goldstein and Paul Gustafson

    Citation: BMC Medical Research Methodology 2020 20:146

    Content type: Research article

    Published on:

  16. The change in two measurements of a continuous outcome can be modelled directly with a linear regression model, or indirectly with a random effects model (REM) of the individual measurements. These methods are...

    Authors: Yilin Ning, Nathalie C. Støer, Peh Joo Ho, Shih Ling Kao, Kee Yuan Ngiam, Eric Yin Hao Khoo, Soo Chin Lee, E-Shyong Tai, Mikael Hartman, Marie Reilly and Chuen Seng Tan

    Citation: BMC Medical Research Methodology 2020 20:145

    Content type: Research article

    Published on:

  17. Person-environment fit, which examines the individual’s perceptions of if, and in what way, he or she is compatible with aspects of the work context, offers a promising conceptual model for understanding emplo...

    Authors: J. Herkes, L. A. Ellis, K. Churruca and J. Braithwaite

    Citation: BMC Medical Research Methodology 2020 20:144

    Content type: Research article

    Published on:

  18. Although null hypothesis significance testing (NHST) is the agreed gold standard in medical decision making and the most widespread inferential framework used in medical research, it has several drawbacks. Bay...

    Authors: Riko Kelter

    Citation: BMC Medical Research Methodology 2020 20:142

    Content type: Software

    Published on:

  19. There is a growing trend in using the “statistically significant” term in the scientific literature. However, harsh criticism of this concept motivated the recommendation to withdraw its use of scientific publ...

    Authors: Fredi Alexander Diaz-Quijano, Fernando Morelli Calixto and José Mário Nunes da Silva

    Citation: BMC Medical Research Methodology 2020 20:140

    Content type: Research article

    Published on:

  20. Continuous reference intervals (RIs) allow for more precise consideration of the dynamic changes of physiological development, which can provide new strategies for the presentation of laboratory test results. ...

    Authors: Kun Li, Lixin Hu, Yaguang Peng, Ruohua Yan, Qiliang Li, Xiaoxia Peng, Wenqi Song and Xin Ni

    Citation: BMC Medical Research Methodology 2020 20:136

    Content type: Research article

    Published on:

  21. Observational longitudinal data often feature irregular, informative visit times. We propose descriptive measures to quantify the extent of irregularity to select an appropriate analytic outcome approach.

    Authors: Armend Lokku, Lily S. Lim, Catherine S. Birken and Eleanor M. Pullenayegum

    Citation: BMC Medical Research Methodology 2020 20:135

    Content type: Research article

    Published on:

  22. Elderly population’s health is a major concern for most industrial nations. National health surveys provide a measure of the state of elderly health. One such survey is the Chinese Longitudinal Healthy Longevi...

    Authors: Elsa Vazquez-Arreola, Dan Xue and Jeffrey R. Wilson

    Citation: BMC Medical Research Methodology 2020 20:128

    Content type: Research article

    Published on:

  23. Effective health care requires services that are responsive to local needs and contexts. Achieving this in indigenous settings implies communication between traditional and conventional medicine perspectives. ...

    Authors: Ivan Sarmiento, Sergio Paredes-Solís, David Loutfi, Anna Dion, Anne Cockcroft and Neil Andersson

    Citation: BMC Medical Research Methodology 2020 20:125

    Content type: Research article

    Published on:

  24. Health-related quality of life (HRQoL) is often measured using EQ-5D-3L by the elicitation methods of visual analogue scale (VAS) and time trade-off (TTO). Although many countries have constructed both nationa...

    Authors: Xiuying Wang, Lin Zhuo, Yifei Ma, Ting Cai, Aviva Must, Ling Xu and Lang Zhuo

    Citation: BMC Medical Research Methodology 2020 20:118

    Content type: Research article

    Published on:

  25. Alcohol use disorder (AUD) is highly prevalent and presents a large treatment gap. Self-help internet interventions are an attractive approach to lowering thresholds for seeking help and disseminating evidence...

    Authors: Philip Lindner, Magnus Johansson, Mikael Gajecki and Anne H. Berman

    Citation: BMC Medical Research Methodology 2020 20:111

    Content type: Research article

    Published on:

  26. Machine learning (ML) has made a significant impact in medicine and cancer research; however, its impact in these areas has been undeniably slower and more limited than in other application domains. A major re...

    Authors: Andre Goncalves, Priyadip Ray, Braden Soper, Jennifer Stevens, Linda Coyle and Ana Paula Sales

    Citation: BMC Medical Research Methodology 2020 20:108

    Content type: Research Article

    Published on:

  27. Most structured clinical data, such as diagnosis codes, are not sufficient to obtain precise phenotypes and assess disease burden. Text mining of clinical notes could provide a basis for detailed profiles of p...

    Authors: Freja Karuna Hemmingsen Sørup, Søren Brunak and Robert Eriksson

    Citation: BMC Medical Research Methodology 2020 20:107

    Content type: Research article

    Published on:

  28. Synthesis of psychometric properties of substance use measures to identify patterns of use and substance use disorders remains limited. To address this gap, we sought to systematically evaluate the psychometri...

    Authors: Glenn-Milo Santos, Steffanie A. Strathdee, Nabila El-Bassel, Poonam Patel, Divya Subramanian, Danielle Horyniak, Ryan R. Cook, Charlotte McCullagh, Phillip Marotta, Foram Choksi, Brian Kang, Isabel Allen and Steven Shoptaw

    Citation: BMC Medical Research Methodology 2020 20:106

    Content type: Research article

    Published on:

  29. Sum scores of ordinal outcomes are common in randomized clinical trials. The approaches routinely employed for assessing treatment effects, such as t-tests or Wilcoxon tests, are not particularly powerful in dete...

    Authors: Muriel Buri, Armin Curt, John Steeves and Torsten Hothorn

    Citation: BMC Medical Research Methodology 2020 20:104

    Content type: Research Article

    Published on:

  30. To demonstrate how the Observational Healthcare Data Science and Informatics (OHDSI) collaborative network and standardization can be utilized to scale-up external validation of patient-level prediction models...

    Authors: Jenna M. Reps, Ross D. Williams, Seng Chan You, Thomas Falconer, Evan Minty, Alison Callahan, Patrick B. Ryan, Rae Woong Park, Hong-Seok Lim and Peter Rijnbeek

    Citation: BMC Medical Research Methodology 2020 20:102

    Content type: Research article

    Published on:

  31. The co-occurrence of two or more medical conditions in the same individual is not uncommon. If disability-adjusted life year (DALY) calculations are carried out for each condition separately, multimorbidity ma...

    Authors: Scott A. McDonald, Juanita A. Haagsma, Alessandro Cassini and Brecht Devleesschauwer

    Citation: BMC Medical Research Methodology 2020 20:100

    Content type: Research article

    Published on:

  32. Previous studies indicate that the prevalence of hypothyroidism is much higher in patients with lupus nephritis (LN) than in the general population, and is associated with LN’s activity. Principal component an...

    Authors: Ting Huang, Jiarong Li and Weiru Zhang

    Citation: BMC Medical Research Methodology 2020 20:99

    Content type: Research article

    Published on:

  33. Oral cancer is the most common cancer among Indian men, and has strong tendency of metastatic spread to neck lymph node which strongly influences prognosis especially 5 year survival-rate and also guides the r...

    Authors: Vishwajeet Singh, Sada Nand Dwivedi and S. V. S. Deo

    Citation: BMC Medical Research Methodology 2020 20:95

    Content type: Research article

    Published on:

  34. In clinical research, there is an increasing interest in joint modelling of longitudinal and time-to-event data, since it reduces bias in parameter estimation and increases the efficiency of statistical infere...

    Authors: Maha Alsefri, Maria Sudell, Marta García-Fiñana and Ruwanthi Kolamunnage-Dona

    Citation: BMC Medical Research Methodology 2020 20:94

    Content type: Research article

    Published on:

  35. Visual displays such as charts and tables may significantly moderate the effects of audit and feedback interventions, but the systematic study of these intervention components will likely remain limited withou...

    Authors: Dahee Lee, Veena Panicker, Colin Gross, Jessica Zhang and Zach Landis-Lewis

    Citation: BMC Medical Research Methodology 2020 20:90

    Content type: Research article

    Published on:

  36. The replication crisis hit the medical sciences about a decade ago, but today still most of the flaws inherent in null hypothesis significance testing (NHST) have not been solved. While the drawbacks of p-values ...

    Authors: Riko Kelter

    Citation: BMC Medical Research Methodology 2020 20:88

    Content type: Research Article

    Published on:

  37. Repeatability and reproducibility are essential for clinicians for several purposes. Although discouraged, use of the Coefficient of Variation (CV) for assessing repeatability and reproducibility, rather than ...

    Authors: Giovanna Cilluffo, Anna Maria Zicari, Giuliana Ferrante, Velia Malizia, Salvatore Fasola, Marzia Duse, Giovanna De Castro, Valentina De Vittori, Laura Schiavi, Giulia Brindisi, Paolo Petrelli and Stefania La Grutta

    Citation: BMC Medical Research Methodology 2020 20:86

    Content type: Research article

    Published on:

  38. Predictive models within epilepsy are frequently developed via Cox’s proportional hazards models. These models estimate risk of a specified event such as 12-month remission. They are relatively simple to produ...

    Authors: Laura J. Bonnett, Jane L. Hutton and Anthony G. Marson

    Citation: BMC Medical Research Methodology 2020 20:84

    Content type: Research article

    Published on:

  39. Electronic Health Records (EHR) has been increasingly used as a tool to monitor population health. However, subject-level errors in the records can yield biased estimates of health indicators. There is an urge...

    Authors: Ryung S. Kim and Viswanathan Shankar

    Citation: BMC Medical Research Methodology 2020 20:77

    Content type: Research article

    Published on:

  40. Postoperative atrial fibrillation (POAF) is a frequent complication of cardiac surgery associated with important morbidity, mortality, and costs. To assess the effectiveness of preventive interventions, an imp...

    Authors: Jonathan Bourgon Labelle, Paul Farand, Christian Vincelette, Myriam Dumont, Mathilde Le Blanc and Christian M. Rochefort

    Citation: BMC Medical Research Methodology 2020 20:75

    Content type: Research article

    Published on:

  41. Information on the associations between pre-diagnosis health behavior and post-diagnosis survival time in esophageal cancer could assist in planning health services but can be difficult to obtain using establi...

    Authors: Paul P. Fahey, Andrew Page, Glenn Stone and Thomas Astell-Burt

    Citation: BMC Medical Research Methodology 2020 20:74

    Content type: Research article

    Published on:

  42. The mortality risk among cancer patients measured from the time of diagnosis is often elevated in comparison to the general population. However, for some cancer types, the patient mortality risk will over time...

    Authors: Lasse H. Jakobsen, Therese M.-L. Andersson, Jorne L. Biccler, Laurids Ø. Poulsen, Marianne T. Severinsen, Tarec C. El-Galaly and Martin Bøgsted

    Citation: BMC Medical Research Methodology 2020 20:71

    Content type: Research Article

    Published on:

2019 Journal Metrics