Statistical Methods in Medical Research

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Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range
Statistical Methods in Medical Research - Tập 27 Số 6 - Trang 1785-1805 - 2018
Dehui Luo, Xiang Wan, Jiming Liu, Tiejun Tong
The era of big data is coming, and evidence-based medicine is attracting increasing attention to improve decision making in medical practice via integrating evidence from well designed and conducted clinical research. Meta-analysis is a statistical technique widely used in evidence-based medicine for analytically combining the findings from independent clinical trials to provide an overal...... hiện toàn bộ
Meta-analysis for the comparison of two diagnostic tests to a common gold standard: A generalized linear mixed model approach
Statistical Methods in Medical Research - Tập 27 Số 5 - Trang 1410-1421 - 2018
Annika Hoyer, Oliver Kuß
Meta-analysis of diagnostic studies is still a rapidly developing area of biostatistical research. Especially, there is an increasing interest in methods to compare different diagnostic tests to a common gold standard. Restricting to the case of two diagnostic tests, in these meta-analyses the parameters of interest are the differences of sensitivities and specificities (with their corres...... hiện toàn bộ
Markov chain Monte Carlo methods in biostatistics
Statistical Methods in Medical Research - Tập 5 Số 4 - Trang 339-355 - 1996
Andrew Gelman, Donald B. Rubin
Appropriate models in biostatistics are often quite complicated. Such models are typically most easily fit using Bayesian methods, which can often be implemented using simulation techniques. Markov chain Monte Carlo (MCMC) methods are an important set of tools for such simulations. We give an overview and references of this rapidly emerging technology along with a relatively simple exampl...... hiện toàn bộ
Measuring agreement in method comparison studies
Statistical Methods in Medical Research - Tập 8 Số 2 - Trang 135-160 - 1999
Martin Bland, D.G. Altman
Risk prediction for myocardial infarction via generalized functional regression models
Statistical Methods in Medical Research - Tập 25 Số 4 - Trang 1648-1660 - 2016
Francesca Ieva, Anna Maria Paganoni
In this paper, we propose a generalized functional linear regression model for a binary outcome indicating the presence/absence of a cardiac disease with multivariate functional data among the relevant predictors. In particular, the motivating aim is the analysis of electrocardiographic traces of patients whose pre-hospital electrocardiogram (ECG) has been sent to 118 Dispatch Center of M...... hiện toàn bộ
Linear spline multilevel models for summarising childhood growth trajectories: A guide to their application using examples from five birth cohorts
Statistical Methods in Medical Research - Tập 25 Số 5 - Trang 1854-1874 - 2016
Laura D Howe, Kate Tilling, Alícia Matijasevich, Emily Petherick, Ana Cristina Santos, Lesley Smith, John Wright, Iná S. Santos, Aluísio J. D. Barros, Richard M. Martin, Michael S. Kramer, Natalia Bogdanovich, Lidia Matush, Henrique Barros, Debbie A. Lawlor
Childhood growth is of interest in medical research concerned with determinants and consequences of variation from healthy growth and development. Linear spline multilevel modelling is a useful approach for deriving individual summary measures of growth, which overcomes several data issues (co-linearity of repeat measures, the requirement for all individuals to be measured at the same age...... hiện toàn bộ
Extension of the modified Poisson regression model to prospective studies with correlated binary data
Statistical Methods in Medical Research - Tập 22 Số 6 - Trang 661-670 - 2013
Guangyong Zou, Allan Donner
The Poisson regression model using a sandwich variance estimator has become a viable alternative to the logistic regression model for the analysis of prospective studies with independent binary outcomes. The primary advantage of this approach is that it readily provides covariate-adjusted risk ratios and associated standard errors. In this article, the model is extended to studies with co...... hiện toàn bộ
Marginal structural models with dose-delay joint-exposure for assessing variations to chemotherapy intensity
Statistical Methods in Medical Research - Tập 28 Số 9 - Trang 2787-2801 - 2019
Carlo Lancia, Cristian Spitoni, Jakob Anninga, Jeremy Whelan, Matthew R. Sydes, Gordana Jovic, Marta Fiocco
Marginal structural models are causal models designed to adjust for time-dependent confounders in observational studies with dynamically adjusted treatments. They are robust tools to assess causality in complex longitudinal data. In this paper, a marginal structural model is proposed with an innovative dose-delay joint-exposure model for Inverse-Probability-of-Treatment Weighted estimatio...... hiện toàn bộ
Shrinkage observed-to-expected ratios for robust and transparent large-scale pattern discovery
Statistical Methods in Medical Research - Tập 22 Số 1 - Trang 57-69 - 2013
G. Niklas Norén, Johan Hopstadius, Andrew Bate
Large observational data sets are a great asset to better understand the effects of medicines in clinical practice and, ultimately, improve patient care. For an empirical pattern in observational data to be of practical relevance, it should represent a substantial deviation from the null model. For the purpose of identifying such deviations, statistical significance tests are inadequate, ...... hiện toàn bộ
Measurement reliability and agreement in psychiatry
Statistical Methods in Medical Research - Tập 7 Số 3 - Trang 301-317 - 1998
Patrick E. Shrout
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