Skip to content

Advertisement

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 8

  1. Content type: Research article

    Intraclass correlation coefficients (ICC) are recommended for the assessment of the reliability of measurement scales. However, the ICC is subject to a variety of statistical assumptions such as normality and ...

    Authors: Carly A. Bobak, Paul J. Barr and A. James O’Malley

    Citation: BMC Medical Research Methodology 2018 18:93

    Published on:

  2. Content type: Research article

    This study aimed to describe the level of agreement of three commonly used delirium instruments: the Delirium Rating Scale-Revised-98 (DRS-R-98), Memorial Delirium Assessment Scale (MDAS), and Confusion Assess...

    Authors: Alden L. Gross, Doug Tommet, Madeline D’Aquila, Eva Schmitt, Edward R. Marcantonio, Benjamin Helfand, Sharon K. Inouye and Richard N. Jones

    Citation: BMC Medical Research Methodology 2018 18:92

    Published on:

  3. Content type: Research article

    Informative attrition occurs when the reason participants drop out from a study is associated with the study outcome. Analysing data with informative attrition can bias longitudinal study inferences. Approache...

    Authors: Catherine A. Welch, Séverine Sabia, Eric Brunner, Mika Kivimäki and Martin J. Shipley

    Citation: BMC Medical Research Methodology 2018 18:89

    Published on:

  4. Content type: Research article

    Missing data can introduce bias in the results of randomised controlled trials (RCTs), but are typically unavoidable in pragmatic clinical research, especially when patient reported outcome measures (PROMs) ar...

    Authors: Ines Rombach, Alastair M. Gray, Crispin Jenkinson, David W. Murray and Oliver Rivero-Arias

    Citation: BMC Medical Research Methodology 2018 18:87

    Published on:

  5. Content type: Research article

    In contrast to aetiological associations, there is little empirical evidence for generalising health service use associations from cohort studies. We compared the health service use of cohort study participant...

    Authors: Nicola Creighton, Stuart Purdie, Matthew Soeberg, Richard Walton, Deborah Baker and Jane Young

    Citation: BMC Medical Research Methodology 2018 18:84

    Published on:

  6. Content type: Research article

    Random effects modelling is routinely used in clustered data, but for prediction models, random effects are commonly substituted with the mean zero after model development. In this study, we proposed a novel a...

    Authors: Haifang Ni, Rolf H. H. Groenwold, Mirjam Nielen and Irene Klugkist

    Citation: BMC Medical Research Methodology 2018 18:83

    Published on:

  7. Content type: Research article

    Health economic evaluations of interventions in infectious disease are commonly based on the predictions of ordinary differential equation (ODE) systems or Markov models (MMs). Standard MMs are static, whereas...

    Authors: Katrin Haeussler, Ardo van den Hout and Gianluca Baio

    Citation: BMC Medical Research Methodology 2018 18:82

    Published on:

  8. Content type: Research article

    Statistical methodology is a powerful tool in the health research; however, there is wide accord that statistical methodologies are not usually used properly. In particular when multiple comparisons are needed...

    Authors: Massimiliano Giacalone, Zirilli Agata, Paolo Carmelo Cozzucoli and Angela Alibrandi

    Citation: BMC Medical Research Methodology 2018 18:81

    Published on:

  9. Content type: Research article

    Multilevel models for non-normal outcomes are widely used in medical and health sciences research. While methods for interpreting fixed effects are well-developed, methods to quantify and interpret random clus...

    Authors: Thomas J. Glorioso, Gary K. Grunwald, P. Michael Ho and Thomas M. Maddox

    Citation: BMC Medical Research Methodology 2018 18:74

    Published on:

  10. Content type: Research article

    There are an increasing number of geo-coded information streams available which could improve public health surveillance accuracy and efficiency when properly integrated. Specifically, for zoonotic diseases, k...

    Authors: C. Rotejanaprasert, A. Lawson, H. Rossow, J. Sane, O. Huitu, H. Henttonen and V. J. Del Rio Vilas

    Citation: BMC Medical Research Methodology 2018 18:72

    Published on:

  11. Content type: Research article

    Recently, the intervention calculus when the DAG is absent (IDA) method was developed to estimate lower bounds of causal effects from observational high-dimensional data. Originally it was introduced to assess...

    Authors: Vahé Asvatourian, Clélia Coutzac, Nathalie Chaput, Caroline Robert, Stefan Michiels and Emilie Lanoy

    Citation: BMC Medical Research Methodology 2018 18:67

    Published on:

  12. Content type: Research article

    Few studies have compared methods to correct for retest effects or practice effects in settings where an acute event could influence test performance, such as major surgery. Our goal in this study was to evalu...

    Authors: Annie M. Racine, Yun Gou, Tamara G. Fong, Edward R. Marcantonio, Eva M. Schmitt, Thomas G. Travison, Sharon K. Inouye and Richard N. Jones

    Citation: BMC Medical Research Methodology 2018 18:69

    Published on:

  13. Content type: Research article

    Network meta-analysis (NMA) allows for the estimation of comparative effectiveness of treatments that have not been studied in head-to-head trials; however, relative treatment effects for all interventions can...

    Authors: Susanne Schmitz, Áine Maguire, James Morris, Kai Ruggeri, Elisa Haller, Isla Kuhn, Joy Leahy, Natalia Homer, Ayesha Khan, Jack Bowden, Vanessa Buchanan, Michael O’Dwyer, Gordon Cook and Cathal Walsh

    Citation: BMC Medical Research Methodology 2018 18:66

    Published on:

  14. Content type: Research article

    A new patient-reported health measurement model has been developed to quantify descriptions of health states. Known as the multi-attribute preference response (MAPR) model, it is based on item response theory....

    Authors: Catharina G. M. Groothuis-Oudshoorn, Edwin R. van den Heuvel and Paul F. M. Krabbe

    Citation: BMC Medical Research Methodology 2018 18:62

    Published on:

  15. Content type: Research article

    In pharmacoepidemiology, the prescription preference-based instrumental variables (IV) are often used with linear models to solve the endogeneity due to unobserved confounders even when the outcome and the end...

    Authors: Babagnidé François Koladjo, Sylvie Escolano and Pascale Tubert-Bitter

    Citation: BMC Medical Research Methodology 2018 18:61

    Published on:

  16. Content type: Research article

    Log-binomial and robust (modified) Poisson regression models are popular approaches to estimate risk ratios for binary response variables. Previous studies have shown that comparatively they produce similar po...

    Authors: Wansu Chen, Lei Qian, Jiaxiao Shi and Meredith Franklin

    Citation: BMC Medical Research Methodology 2018 18:63

    Published on:

  17. Content type: Research article

    When profiling multiple health care providers, adjustment for case-mix is essential to accurately classify the quality of providers. Unfortunately, misclassification of provider performance is not uncommon and...

    Authors: Timo B. Brakenhoff, Kit C. B. Roes, Karel G. M. Moons and Rolf H. H. Groenwold

    Citation: BMC Medical Research Methodology 2018 18:54

    Published on:

  18. Content type: Research article

    Decisions about which subgroup of chronic hepatitis C (CHC) patients should be treated with direct acting anti-viral agents (DAAs) have economic importance due to high drug prices. Treat-all DAA strategies for...

    Authors: Rodolfo Castro, Louise Crathorne, Hugo Perazzo, Julio Silva, Chris Cooper, Jo Varley-Campbell, Daniel Savignon Marinho, Marcela Haasova, Valdilea G. Veloso, Rob Anderson and Chris Hyde

    Citation: BMC Medical Research Methodology 2018 18:53

    Published on:

  19. Content type: Research article

    Motivational Interviewing (MI), Brief Advice (BA) and Health Education (HE) are established smoking cessation induction methods for smokers with low desire to quit. Although randomized controlled trials (RCT’s...

    Authors: Majid Bani-Yaghoub, Abdellatif Elhomani and Delwyn Catley

    Citation: BMC Medical Research Methodology 2018 18:52

    Published on:

  20. Content type: Software

    Joint modelling of longitudinal and time-to-event outcomes has received considerable attention over recent years. Commensurate with this has been a rise in statistical software options for fitting these models...

    Authors: Graeme L. Hickey, Pete Philipson, Andrea Jorgensen and Ruwanthi Kolamunnage-Dona

    Citation: BMC Medical Research Methodology 2018 18:50

    Published on:

  21. Content type: Research article

    In many studies the information of patients who are dying in the hospital is censored when examining the change in length of hospital stay (cLOS) due to hospital-acquired infections (HIs). While appropriate es...

    Authors: Shahina Rahman, Maja von Cube, Martin Schumacher and Martin Wolkewitz

    Citation: BMC Medical Research Methodology 2018 18:49

    Published on:

  22. Content type: Debate

    Randomised trials with long-term follow-up can provide estimates of the long-term effects of health interventions. However, analysis of long-term outcomes in randomised trials may be complicated by problems wi...

    Authors: Robert D. Herbert, Jessica Kasza and Kari Bø

    Citation: BMC Medical Research Methodology 2018 18:48

    Published on:

  23. Content type: Research article

    Researchers and funders should consider the statistical power of planned Individual Participant Data (IPD) meta-analysis projects, as they are often time-consuming and costly. We propose simulation-based power...

    Authors: Joie Ensor, Danielle L. Burke, Kym I. E. Snell, Karla Hemming and Richard D. Riley

    Citation: BMC Medical Research Methodology 2018 18:41

    Published on:

  24. Content type: Research article

    Sample size planning for longitudinal data is crucial when designing mediation studies because sufficient statistical power is not only required in grant applications and peer-reviewed publications, but is ess...

    Authors: Haitao Pan, Suyu Liu, Danmin Miao and Ying Yuan

    Citation: BMC Medical Research Methodology 2018 18:32

    Published on:

  25. Content type: Research article

    Many biological variables sampled from human subjects show a diurnal pattern, which poses special demands on the techniques used to analyze such data. Furthermore, most biological variables belong to nonlinear...

    Authors: Roelof B. Toonen, Klaas J. Wardenaar, Elisabeth H. Bos, Sonja L. van Ockenburg and Peter de Jonge

    Citation: BMC Medical Research Methodology 2018 18:31

    Published on:

  26. Content type: Research article

    Measures of mental well-being and positive mental health (PMH) have been largely developed and used in Western populations, however, data on representative Asian communities are lacking. Using data from a popu...

    Authors: Janhavi Ajit Vaingankar, Mythily Subramaniam, Linda Wei Lin Tan, Edimansyah Abdin, Wei Yen Lim, Hwee Lin Wee, Siow Ann Chong and Rob Martinus van Dam

    Citation: BMC Medical Research Methodology 2018 18:29

    Published on:

  27. Content type: Research article

    Restricted mean survival time (RMST) is an underutilized estimand in time-to-event analyses. Herein, we highlight its strengths by comparing time to (1) all-cause mortality and (2) initiation of antiretroviral...

    Authors: Keri L. Calkins, Chelsea E. Canan, Richard D. Moore, Catherine R. Lesko and Bryan Lau

    Citation: BMC Medical Research Methodology 2018 18:27

    Published on:

  28. Content type: Research article

    Rigorous, informative meta-analyses rely on availability of appropriate summary statistics or individual participant data. For continuous outcomes, especially those with naturally skewed distributions, summary...

    Authors: Christopher J. Weir, Isabella Butcher, Valentina Assi, Stephanie C. Lewis, Gordon D. Murray, Peter Langhorne and Marian C. Brady

    Citation: BMC Medical Research Methodology 2018 18:25

    Published on:

  29. Content type: Research article

    Medical practitioners use survival models to explore and understand the relationships between patients’ covariates (e.g. clinical and genetic features) and the effectiveness of various treatment options. Stand...

    Authors: Jared L. Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang and Yuval Kluger

    Citation: BMC Medical Research Methodology 2018 18:24

    Published on:

  30. Content type: Research article

    Standard survival analysis fails to give insight into what happens to a patient after a first outcome event (like first relapse of a disease). Multi-state models are a useful tool for analyzing survival data w...

    Authors: G. Manzini, T. J. Ettrich, M. Kremer, M. Kornmann, D. Henne-Bruns, D. A. Eikema, P. Schlattmann and L. C. de Wreede

    Citation: BMC Medical Research Methodology 2018 18:23

    Published on:

  31. Content type: Research article

    Amyotrophic Lateral Sclerosis (ALS), also known as Lou Gehrig’s disease, is a rare disease with extreme between-subject variability, especially with respect to rate of disease progression. This makes modelling...

    Authors: Alex G. Karanevich, Jeffrey M. Statland, Byron J. Gajewski and Jianghua He

    Citation: BMC Medical Research Methodology 2018 18:19

    Published on:

  32. Content type: Research article

    Defeat and entrapment have been shown to be of central relevance to the development of different disorders. However, it remains unclear whether they represent two distinct constructs or one overall latent vari...

    Authors: Thomas Forkmann, Tobias Teismann, Jana-Sophie Stenzel, Heide Glaesmer and Derek de Beurs

    Citation: BMC Medical Research Methodology 2018 18:16

    Published on:

  33. Content type: Technical advance

    Investigating the impact of a time-dependent intervention on the probability of long-term survival is statistically challenging. A typical example is stem-cell transplantation performed after successful donor ...

    Authors: Ulrike Pötschger, Harald Heinzl, Maria Grazia Valsecchi and Martina Mittlböck

    Citation: BMC Medical Research Methodology 2018 18:14

    Published on:

  34. Content type: Research article

    In patient-based studies, biomarker data are often subject to left censoring due to the detection limits, or to incomplete sample or data collection. In the context of longitudinal regression analysis, inappro...

    Authors: MinJae Lee, Mohammad H. Rahbar, Matthew Brown, Lianne Gensler, Michael Weisman, Laura Diekman and John D. Reveille

    Citation: BMC Medical Research Methodology 2018 18:8

    Published on:

  35. Content type: Research article

    We wished to compare the nuisance parameters of pediatric vs. adult randomized-trials (RCTs) and determine if the latter can be used in sample size computations of the former.

    Authors: Ben Vandermeer, Ingeborg van der Tweel, Marijke C. Jansen-van der Weide, Stephanie S. Weinreich, Despina G. Contopoulos-Ioannidis, Dirk Bassler, Ricardo M. Fernandes, Lisa Askie, Haroon Saloojee, Paola Baiardi, Susan S. Ellenberg and Johanna H. van der Lee

    Citation: BMC Medical Research Methodology 2018 18:7

    Published on:

  36. Content type: Research article

    Despite the frequent use of self-controlled methods in pharmacoepidemiological studies, the factors that may bias the estimates from these methods have not been adequately compared in real-world settings. Here...

    Authors: Yoshinori Takeuchi, Tomohiro Shinozaki and Yutaka Matsuyama

    Citation: BMC Medical Research Methodology 2018 18:4

    Published on:

  37. Content type: Technical advance

    Many clinical trials focus on the comparison of the treatment effect between two or more groups concerning a rarely occurring event. In this situation, showing a relevant effect with an acceptable power requir...

    Authors: Ann-Kathrin Ozga, Meinhard Kieser and Geraldine Rauch

    Citation: BMC Medical Research Methodology 2018 18:2

    Published on:

  38. Content type: Research article

    Hepatocellular carcinoma (HCC) has limited treatment options in patients with advanced stage disease and early detection of HCC through surveillance programs is a key component towards reducing mortality. The ...

    Authors: Nabihah Tayob, Peter Richardson, Donna L. White, Xiaoying Yu, Jessica A. Davila, Fasiha Kanwal, Ziding Feng and Hashem B. El-Serag

    Citation: BMC Medical Research Methodology 2018 18:1

    Published on:

  39. Content type: Research article

    Different confounder adjustment strategies were used to estimate odds ratios (ORs) in case-control study, i.e. how many confounders original studies adjusted and what the variables are. This secondary data ana...

    Authors: Tianyi Liu, Xiaolu Nie, Zehao Wu, Ying Zhang, Guoshuang Feng, Siyu Cai, Yaqi Lv and Xiaoxia Peng

    Citation: BMC Medical Research Methodology 2017 17:179

    Published on:

  40. Content type: Research article

    Confounders can produce spurious associations between exposure and outcome in observational studies. For majority of epidemiologists, adjusting for confounders using logistic regression model is their habitual...

    Authors: Yuanyuan Yu, Hongkai Li, Xiaoru Sun, Ping Su, Tingting Wang, Yi Liu, Zhongshang Yuan, Yanxun Liu and Fuzhong Xue

    Citation: BMC Medical Research Methodology 2017 17:177

    Published on:

  41. Content type: Research article

    Prediction models and prognostic scores have been increasingly popular in both clinical practice and clinical research settings, for example to aid in risk-based decision making or control for confounding. In ...

    Authors: Sarah R. Haile, Beniamino Guerra, Joan B. Soriano and Milo A. Puhan

    Citation: BMC Medical Research Methodology 2017 17:172

    Published on:

    The Correction to this article has been published in BMC Medical Research Methodology 2018 18:21