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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 19
  1. 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

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  2. 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

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  3. 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

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  4. 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

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  5. 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

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  6. 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

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  7. 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

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  8. 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

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  9. 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

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  10. 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

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  11. 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

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  12. 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

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  13. 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

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  14. 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

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  15. 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

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  16. 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

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  17. 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

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