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BMC Medical Research Methodology

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

    It is important to quantify the dose response for a drug in phase 2a clinical trials so the optimal doses can then be selected for subsequent late phase trials. In a phase 2a clinical trial of new lead drug be...

    Authors: Feng Liu, Stephen J. Walters and Steven A. Julious

    Citation: BMC Medical Research Methodology 2017 17:149

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  2. Content type: Research Article

    The use of health-related quality of life (HRQoL) as an endpoint in cancer clinical trials is growing rapidly. Hence, research into the statistical approaches used to analyze HRQoL data is of major importance,...

    Authors: Antoine Barbieri, Jean Peyhardi, Thierry Conroy, Sophie Gourgou, Christian Lavergne and Caroline Mollevi

    Citation: BMC Medical Research Methodology 2017 17:148

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  3. Content type: Research article

    It is challenging for current statistical models to predict clinical progression of Parkinson’s disease (PD) because of the involvement of multi-domains and longitudinal data.

    Authors: Ming Wang, Zheng Li, Eun Young Lee, Mechelle M. Lewis, Lijun Zhang, Nicholas W. Sterling, Daymond Wagner, Paul Eslinger, Guangwei Du and Xuemei Huang

    Citation: BMC Medical Research Methodology 2017 17:147

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  4. Content type: Debate

    The goal of medical research is to develop interventions that are in some sense superior, with respect to patient outcome, to interventions currently in use. Similarly, the goal of research in methodological c...

    Authors: Anne-Laure Boulesteix, Rory Wilson and Alexander Hapfelmeier

    Citation: BMC Medical Research Methodology 2017 17:138

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  5. Content type: Research article

    Rich literature has reported that there exists a nonlinear association between temperature and mortality. One important feature in the temperature-mortality association is the minimum mortality temperature (MM...

    Authors: Whanhee Lee, Ho Kim, Sunghee Hwang, Antonella Zanobetti, Joel D. Schwartz and Yeonseung Chung

    Citation: BMC Medical Research Methodology 2017 17:137

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  6. Content type: Research article

    Data confidentiality and shared use of research data are two desirable but sometimes conflicting goals in research with multi-center studies and distributed data. While ideal for straightforward analysis, conf...

    Authors: P. Saha-Chaudhuri and C.R. Weinberg

    Citation: BMC Medical Research Methodology 2017 17:136

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  7. Content type: Research article

    Multiple imputation is a popular approach to handling missing data in medical research, yet little is known about its applicability for estimating the relative risk. Standard methods for imputing incomplete bi...

    Authors: Thomas R. Sullivan, Katherine J. Lee, Philip Ryan and Amy B. Salter

    Citation: BMC Medical Research Methodology 2017 17:134

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  8. Content type: Research article

    There is a great need for high quality clinical research for children. The European Pediatric Regulation aimed to improve the quality of clinical trials in order to increase the availability of treatments for ...

    Authors: Isabelle Gautier, Perrine Janiaud, Nelly Rollet, Nicolas André, Michel Tsimaratos, Catherine Cornu, Salma Malik, Stéphanie Gentile and Behrouz Kassaï

    Citation: BMC Medical Research Methodology 2017 17:130

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  9. Content type: Research article

    The common frequentist approach is limited in providing investigators with appropriate measures for conducting a new trial. To answer such important questions and one has to look at Bayesian statistics.

    Authors: David J. Biau, Samuel Boulezaz, Laurent Casabianca, Moussa Hamadouche, Philippe Anract and Sylvie Chevret

    Citation: BMC Medical Research Methodology 2017 17:128

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  10. Content type: Technical advance

    Multiple imputation is a recommended method to handle missing data. For significance testing after multiple imputation, Rubin’s Rules (RR) are easily applied to pool parameter estimates. In a logistic regressi...

    Authors: Iris Eekhout, Mark A. van de Wiel and Martijn W. Heymans

    Citation: BMC Medical Research Methodology 2017 17:129

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  11. Content type: Research article

    Aspirin has been considered to be beneficial in preventing cardiovascular diseases and cancer. Several pharmaco-epidemiology cohort studies have shown protective effects of aspirin on diseases using various st...

    Authors: In Sung Cho, Ye Rin Chae, Ji Hyeon Kim, Hae Rin Yoo, Suk Yong Jang, Gyu Ri Kim and Chung Mo Nam

    Citation: BMC Medical Research Methodology 2017 17:126

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  12. Content type: Research article

    Estimating correlation coefficients among outcomes is one of the most important analytical tasks in epidemiological and clinical research. Availability of multivariate longitudinal data presents a unique oppor...

    Authors: Feng Gao, J. Philip Miller, Chengjie Xiong, Jingqin Luo, Julia A. Beiser, Ling Chen and Mae O. Gordon

    Citation: BMC Medical Research Methodology 2017 17:124

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  13. Content type: Research article

    Dentine hypersensitivity (DH) affects people’s quality of life (QoL). However changes in the internal meaning of QoL, known as Response shift (RS) may undermine longitudinal assessment of QoL. This study aimed...

    Authors: Carolina Machuca, Mario V. Vettore, Marta Krasuska, Sarah R. Baker and Peter G. Robinson

    Citation: BMC Medical Research Methodology 2017 17:120

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  14. Content type: Research Article

    Random survival forest (RSF) models have been identified as alternative methods to the Cox proportional hazards model in analysing time-to-event data. These methods, however, have been criticised for the bias ...

    Authors: Justine B. Nasejje, Henry Mwambi, Keertan Dheda and Maia Lesosky

    Citation: BMC Medical Research Methodology 2017 17:115

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  15. Content type: Research article

    Missing data is a common problem in epidemiological studies, and is particularly prominent in longitudinal data, which involve multiple waves of data collection. Traditional multiple imputation (MI) methods (f...

    Authors: Anurika Priyanjali De Silva, Margarita Moreno-Betancur, Alysha Madhu De Livera, Katherine Jane Lee and Julie Anne Simpson

    Citation: BMC Medical Research Methodology 2017 17:114

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  16. Content type: Research Article

    The analysis of perinatal outcomes often involves datasets with some multiple births. These are datasets mostly formed of independent observations and a limited number of clusters of size two (twins) and maybe...

    Authors: Odile Sauzet and Janet L. Peacock

    Citation: BMC Medical Research Methodology 2017 17:110

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  17. Content type: Research Article

    In a random effects meta-analysis model, true treatment effects for each study are routinely assumed to follow a normal distribution. However, normality is a restrictive assumption and the misspecification of ...

    Authors: Yusuke Yamaguchi, Kazushi Maruo, Christopher Partlett and Richard D. Riley

    Citation: BMC Medical Research Methodology 2017 17:109

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