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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.

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  1. 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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  2. 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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  3. 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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  4. 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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  5. 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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  6. 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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  7. 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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  8. 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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  9. 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

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  10. 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

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  11. 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

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  12. 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

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  13. 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

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  14. 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

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  15. 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

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  16. 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

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  17. 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

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  18. 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

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  19. 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

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

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