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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 6 of 9

  1. Content type: Research article

    Multiple imputation is a reliable tool to deal with missing data and is becoming increasingly popular in biostatistics. However, building a model with interactions that are not specified a priori, in the presence...

    Authors: Gillian M Hendry, Rajen N Naidoo, Temesgen Zewotir, Delia North and Graciela Mentz

    Citation: BMC Medical Research Methodology 2014 14:136

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  2. Content type: Research article

    In systematic reviews and meta-analysis, researchers often pool the results of the sample mean and standard deviation from a set of similar clinical trials. A number of the trials, however, reported the study ...

    Authors: Xiang Wan, Wenqian Wang, Jiming Liu and Tiejun Tong

    Citation: BMC Medical Research Methodology 2014 14:135

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  3. Content type: Research article

    A two-arm non-inferiority trial without a placebo is usually adopted to demonstrate that an experimental treatment is not worse than a reference treatment by a small pre-specified non-inferiority margin due to et...

    Authors: Nian-Sheng Tang, Bin Yu and Man-Lai Tang

    Citation: BMC Medical Research Methodology 2014 14:134

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  4. Content type: Research article

    Medical researchers often use longitudinal observational studies to examine how risk factors predict change in health over time. Selective attrition and inappropriate modeling of regression toward the mean (RT...

    Authors: Kristin Gustavson and Ingrid Borren

    Citation: BMC Medical Research Methodology 2014 14:133

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  5. Content type: Research article

    The tendency towards publication bias is greater for observational studies than for randomized clinical trials. Several statistical methods have been developed to test the publication bias. However, almost all...

    Authors: Zhi-Chao Jin, Cheng Wu, Xiao-Hua Zhou and Jia He

    Citation: BMC Medical Research Methodology 2014 14:132

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  6. Content type: Research article

    Statisticians investigate new methods in simulations to evaluate their properties for future real data applications. Results are often presented in a number of figures, e.g., Trellis plots. We had conducted a ...

    Authors: Gerta Rücker and Guido Schwarzer

    Citation: BMC Medical Research Methodology 2014 14:129

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  7. Content type: Research article

    A recent paper proposed an intent-to-diagnose approach to handle non-evaluable index test results and discussed several alternative approaches, with an application to the meta-analysis of coronary CT angiograp...

    Authors: Xiaoye Ma, Muhammad Fareed K Suri and Haitao Chu

    Citation: BMC Medical Research Methodology 2014 14:128

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  8. Content type: Research article

    The time stratified case cross-over approach is a popular alternative to conventional time series regression for analysing associations between time series of environmental exposures (air pollution, weather) a...

    Authors: Ben G Armstrong, Antonio Gasparrini and Aurelio Tobias

    Citation: BMC Medical Research Methodology 2014 14:122

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  9. Content type: Research article

    The intraclass correlation coefficient (ICC) is widely used in biomedical research to assess the reproducibility of measurements between raters, labs, technicians, or devices. For example, in an inter-rater re...

    Authors: Alexei C Ionan, Mei-Yin C Polley, Lisa M McShane and Kevin K Dobbin

    Citation: BMC Medical Research Methodology 2014 14:121

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  10. Content type: Correspondence

    Thresholds for statistical significance when assessing meta-analysis results are being insufficiently demonstrated by traditional 95% confidence intervals and P-values. Assessment of intervention effects in syste...

    Authors: Janus Christian Jakobsen, Jørn Wetterslev, Per Winkel, Theis Lange and Christian Gluud

    Citation: BMC Medical Research Methodology 2014 14:120

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  11. Content type: Research article

    Missing outcome data is a threat to the validity of treatment effect estimates in randomized controlled trials. We aimed to evaluate the extent, handling, and sensitivity analysis of missing data and intention...

    Authors: Melanie L Bell, Mallorie Fiero, Nicholas J Horton and Chiu-Hsieh Hsu

    Citation: BMC Medical Research Methodology 2014 14:118

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  12. Content type: Research article

    In the last years, the importance of independent validation of the prediction ability of a new gene signature has been largely recognized. Recently, with the development of gene signatures which integrate rath...

    Authors: Riccardo De Bin, Tobias Herold and Anne-Laure Boulesteix

    Citation: BMC Medical Research Methodology 2014 14:117

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  13. Content type: Research article

    In prognostic studies, the lasso technique is attractive since it improves the quality of predictions by shrinking regression coefficients, compared to predictions based on a model fitted via unpenalized maxim...

    Authors: Jammbe Z Musoro, Aeilko H Zwinderman, Milo A Puhan, Gerben ter Riet and Ronald B Geskus

    Citation: BMC Medical Research Methodology 2014 14:116

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  14. Content type: Research article

    There are various methodological approaches to identifying clinically important subgroups and one method is to identify clusters of characteristics that differentiate people in cross-sectional and/or longitudi...

    Authors: Peter Kent, Rikke K Jensen and Alice Kongsted

    Citation: BMC Medical Research Methodology 2014 14:113

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  15. Content type: Research article

    Networks of trials assessing several treatment options available for the same condition are increasingly considered. Randomized trial evidence may be missing because of reporting bias. We propose a test for re...

    Authors: Ludovic Trinquart, John PA Ioannidis, Gilles Chatellier and Philippe Ravaud

    Citation: BMC Medical Research Methodology 2014 14:112

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  16. Content type: Research article

    Estimating the disease prevalence and test accuracy (sensitivity and specificity) for two dependent screening tests when the status of individuals who are negative on both tests is unverified represents a cons...

    Authors: Jin Liu, Feng Chen, Hao Yu, Ping Zeng and Liya Liu

    Citation: BMC Medical Research Methodology 2014 14:110

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  17. Content type: Research article

    The rank correlation test introduced by Begg and Mazumdar is extensively used in meta-analysis to test for publication bias in clinical and epidemiological studies. It is based on correlating the standardized ...

    Authors: Miriam Gjerdevik and Ivar Heuch

    Citation: BMC Medical Research Methodology 2014 14:109

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  18. Content type: Research article

    The assumption of consistency, defined as agreement between direct and indirect sources of evidence, underlies the increasingly popular method of network meta-analysis. This assumption is often evaluated by st...

    Authors: Areti Angeliki Veroniki, Dimitris Mavridis, Julian PT Higgins and Georgia Salanti

    Citation: BMC Medical Research Methodology 2014 14:106

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  19. Content type: Research article

    Network meta-analysis methods extend the standard pair-wise framework to allow simultaneous comparison of multiple interventions in a single statistical model. Despite published work on network meta-analysis m...

    Authors: Pedro Saramago, Ling-Hsiang Chuang and Marta O Soares

    Citation: BMC Medical Research Methodology 2014 14:105

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  20. Content type: Research article

    Meta-regression is becoming increasingly used to model study level covariate effects. However this type of statistical analysis presents many difficulties and challenges. Here two methods for calculating confi...

    Authors: Dan Jackson, Rebecca Turner, Kirsty Rhodes and Wolfgang Viechtbauer

    Citation: BMC Medical Research Methodology 2014 14:103

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  21. Content type: Research article

    Big data is steadily growing in epidemiology. We explored the performances of methods dedicated to big data analysis for detecting independent associations between exposures and a health outcome.

    Authors: Yohann Mansiaux and Fabrice Carrat

    Citation: BMC Medical Research Methodology 2014 14:99

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  22. Content type: Research article

    For many molecularly targeted agents, the probability of response may be assumed to either increase or increase and then plateau in the tested dose range. Therefore, identifying the maximum effective dose, def...

    Authors: Beibei Guo and Yisheng Li

    Citation: BMC Medical Research Methodology 2014 14:95

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  23. Content type: Research article

    Network meta-analysis (NMA) enables simultaneous comparison of multiple treatments while preserving randomisation. When summarising evidence to inform an economic evaluation, it is important that the analysis ...

    Authors: Felix A Achana, Nicola J Cooper, Sylwia Bujkiewicz, Stephanie J Hubbard, Denise Kendrick, David R Jones and Alex J Sutton

    Citation: BMC Medical Research Methodology 2014 14:92

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  24. Content type: Research article

    In the field of oral and maxillofacial surgery, newly developed laser scalpels have multiple advantages over traditional metal scalpels. However, they lack haptic feedback. This is dangerous near e.g. nerve ti...

    Authors: Alexander Engelhardt, Rajesh Kanawade, Christian Knipfer, Matthias Schmid, Florian Stelzle and Werner Adler

    Citation: BMC Medical Research Methodology 2014 14:91

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  25. Content type: Research article

    Despite the widespread use of patient-reported Outcomes (PRO) in clinical studies, their design remains a challenge. Justification of study size is hardly provided, especially when a Rasch model is planned for...

    Authors: Véronique Sébille, Myriam Blanchin, Francis Guillemin, Bruno Falissard and Jean-Benoit Hardouin

    Citation: BMC Medical Research Methodology 2014 14:87

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  26. Content type: Research article

    Measures of clinical utility (net benefit and event free life years) have been recommended in the assessment of a new predictor in a risk prediction model. However, it is not clear how they relate to the measu...

    Authors: Kevin McGeechan, Petra Macaskill, Les Irwig and Patrick MM Bossuyt

    Citation: BMC Medical Research Methodology 2014 14:86

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  27. Content type: Research article

    Paired survival data are often used in clinical research to assess the prognostic effect of an exposure. Matching generates correlated censored data expecting that the paired subjects just differ from the expo...

    Authors: Alexia Savignoni, Caroline Giard, Pascale Tubert-Bitter and Yann De Rycke

    Citation: BMC Medical Research Methodology 2014 14:83

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  28. Content type: Research article

    To estimate relative risks or risk ratios for common binary outcomes, the most popular model-based methods are the robust (also known as modified) Poisson and the log-binomial regression. Of the two methods, i...

    Authors: Wansu Chen, Jiaxiao Shi, Lei Qian and Stanley P Azen

    Citation: BMC Medical Research Methodology 2014 14:82

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  29. Content type: Research article

    Meta-analyses (MA) based on individual patient data (IPD) are regarded as the gold standard for meta-analyses and are becoming increasingly common, having several advantages over meta-analyses of summary stati...

    Authors: Doneal Thomas, Sanyath Radji and Andrea Benedetti

    Citation: BMC Medical Research Methodology 2014 14:79

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  30. Content type: Research article

    Rates of Potentially Preventable Hospitalizations (PPH) are used to evaluate access of territorially delimited populations to high quality ambulatory care. A common geographic pattern of several PPH would refl...

    Authors: Berta Ibañez-Beroiz, Julián Librero, Enrique Bernal-Delgado, Sandra García-Armesto, Silvia Villanueva-Ferragud and Salvador Peiró

    Citation: BMC Medical Research Methodology 2014 14:74

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  31. Content type: Research article

    The validity of a meta-analysis can be understood better in light of the possible impact of publication bias. The majority of the methods to investigate publication bias in terms of small study-effects are dev...

    Authors: W Annefloor van Enst, Eleanor Ochodo, Rob JPM Scholten, Lotty Hooft and Mariska M Leeflang

    Citation: BMC Medical Research Methodology 2014 14:70

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  32. Content type: Research article

    The reduction of crime is an important outcome of opioid maintenance treatment (OMT). Criminal intensity and treatment regimes vary among OMT patients, but this is rarely adjusted for in statistical analyses, ...

    Authors: Jo Røislien, Thomas Clausen, Jon Michael Gran and Anne Bukten

    Citation: BMC Medical Research Methodology 2014 14:68

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  33. Content type: Technical advance

    The absence of a gold standard, i.e., a diagnostic reference standard having perfect sensitivity and specificity, is a common problem in clinical practice and in diagnostic research studies. There is a need fo...

    Authors: Daphne I Ling, Madhukar Pai, Ian Schiller and Nandini Dendukuri

    Citation: BMC Medical Research Methodology 2014 14:67

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  34. Content type: Research article

    Income is predictive of many health outcomes and is therefore an important potential confounder to control for in studies. However it is often missing or poorly measured in epidemiological studies because of i...

    Authors: Tom Clemens and Chris Dibben

    Citation: BMC Medical Research Methodology 2014 14:59

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  35. Content type: Research article

    Prevalence estimates of drug use, or of its consequences, are considered important in many contexts and may have substantial influence over public policy. However, it is rarely possible to simply count the rel...

    Authors: Anders Ledberg and Peter Wennberg

    Citation: BMC Medical Research Methodology 2014 14:58

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  36. Content type: Research article

    Multiple imputation (MI) was developed as a method to enable valid inferences to be obtained in the presence of missing data rather than to re-create the missing values. Within the applied setting, it remains ...

    Authors: Laura Rodwell, Katherine J Lee, Helena Romaniuk and John B Carlin

    Citation: BMC Medical Research Methodology 2014 14:57

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  37. Content type: Research article

    A proportional hazards measure is suggested in the context of analyzing SROC curves that arise in the meta–analysis of diagnostic studies. The measure can be motivated as a special model: the Lehmann model for...

    Authors: Suphada Charoensawat, Walailuck Böhning, Dankmar Böhning and Heinz Holling

    Citation: BMC Medical Research Methodology 2014 14:56

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  38. Content type: Research article

    Measures of attributable risk are an integral part of epidemiological analyses, particularly when aimed at the planning and evaluation of public health interventions. However, the current definition of such me...

    Authors: Antonio Gasparrini and Michela Leone

    Citation: BMC Medical Research Methodology 2014 14:55

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  39. Content type: Research article

    The Australian and New Zealand Intensive Care Society (ANZICS) Adult Patient Database (APD) collects voluntary data on patient admissions to Australian and New Zealand intensive care units (ICUs). This paper p...

    Authors: Patricia J Solomon, Jessica Kasza and John L Moran

    Citation: BMC Medical Research Methodology 2014 14:53

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  40. Content type: Research article

    Traditionally, phase I oncology trials are designed to determine the maximum tolerated dose (MTD), defined as the highest dose with an acceptable probability of dose limiting toxicities(DLT), of a new treatmen...

    Authors: Kristen Cunanan and Joseph S Koopmeiners

    Citation: BMC Medical Research Methodology 2014 14:51

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  41. Content type: Research article

    Analysis of variance (ANOVA), change-score analysis (CSA) and analysis of covariance (ANCOVA) respond differently to baseline imbalance in randomized controlled trials. However, no empirical studies appear to ...

    Authors: Bolaji E Egbewale, Martyn Lewis and Julius Sim

    Citation: BMC Medical Research Methodology 2014 14:49

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