Extension of the modified Poisson regression model to prospective studies with correlated binary dataStatistical 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 correlated ... hiện toàn bộ
Shrinkage observed-to-expected ratios for robust and transparent large-scale pattern discoveryStatistical 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, as
they d... hiện toàn bộ
Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile rangeStatistical 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 overall estimat... hiện toàn bộ
Group-based multi-trajectory modelingStatistical Methods in Medical Research - Tập 27 Số 7 - Trang 2015-2023 - 2018
Daniel S. Nagin, Bobby Jones, Valéria Lima Passos, Richard E. Tremblay
Identifying and monitoring multiple disease biomarkers and other clinically
important factors affecting the course of a disease, behavior or health status
is of great clinical relevance. Yet conventional statistical practice generally
falls far short of taking full advantage of the information available in
multivariate longitudinal data for tracking the course of the outcome of
interest. We demons... hiện toàn bộ
Review of inverse probability weighting for dealing with missing dataStatistical Methods in Medical Research - Tập 22 Số 3 - Trang 278-295 - 2013
Shaun R. Seaman, Ian R. White
The simplest approach to dealing with missing data is to restrict the analysis
to complete cases, i.e. individuals with no missing values. This can induce
bias, however. Inverse probability weighting (IPW) is a commonly used method to
correct this bias. It is also used to adjust for unequal sampling fractions in
sample surveys. This article is a review of the use of IPW in epidemiological
research... hiện toàn bộ
Probabilistic sensitivity analysis in health economicsStatistical Methods in Medical Research - Tập 24 Số 6 - Trang 615-634 - 2015
Gianluca Baio, A. P. Dawid
Health economic evaluations have recently become an important part of the
clinical and medical research process and have built upon more advanced
statistical decision-theoretic foundations. In some contexts, it is officially
required that uncertainty about both parameters and observable variables be
properly taken into account, increasingly often by means of Bayesian methods.
Among these, probabil... hiện toàn bộ
Statistical methods for multivariate meta-analysis of diagnostic tests: An overview and tutorialStatistical Methods in Medical Research - Tập 25 Số 4 - Trang 1596-1619 - 2016
Xiaoxiao Ma, Lei Nie, Stephen R. Cole, Haitao Chu
In this article, we present an overview and tutorial of statistical methods for
meta-analysis of diagnostic tests under two scenarios: (1) when the reference
test can be considered a gold standard and (2) when the reference test cannot be
considered a gold standard. In the first scenario, we first review the
conventional summary receiver operating characteristics approach and a bivariate
approach ... hiện toàn bộ
ANOVA model for network meta-analysis of diagnostic test accuracy dataStatistical Methods in Medical Research - Tập 27 Số 6 - Trang 1766-1784 - 2018
Victoria Nyawira Nyaga, Marc Aerts, Marc Arbyn
Procedures combining and summarising direct and indirect evidence from
independent studies assessing the diagnostic accuracy of different tests for the
same disease are referred to network meta-analysis. Network meta-analysis
provides a unified inference framework and uses the data more efficiently.
Nonetheless, handling the inherent correlation between sensitivity and
specificity continues to be ... hiện toàn bộ
Meta-analysis for the comparison of two diagnostic tests to a common gold standard: A generalized linear mixed model approachStatistical 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
corresponding c... hiện toàn bộ