Statistical Methods in Medical Research
Công bố khoa học tiêu biểu
* Dữ liệu chỉ mang tính chất tham khảo
Sắp xếp:
Extension of the modified Poisson regression model to prospective studies with correlated binary data 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... ...
Statistical Methods in Medical Research - Tập 22 Số 6 - Trang 661-670 - 2013
Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range 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... ...
Statistical Methods in Medical Research - Tập 27 Số 6 - Trang 1785-1805 - 2018
Meta-analysis for the comparison of two diagnostic tests to a common gold standard: A generalized linear mixed model approach 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... ...
Statistical Methods in Medical Research - Tập 27 Số 5 - Trang 1410-1421 - 2018
Markov chain Monte Carlo methods in biostatistics 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... ...
Statistical Methods in Medical Research - Tập 5 Số 4 - Trang 339-355 - 1996
Measuring agreement in method comparison studies
Statistical Methods in Medical Research - Tập 8 Số 2 - Trang 135-160 - 1999
A simple method to estimate the time-dependent receiver operating characteristic curve and the area under the curve with right censored data The time-dependent receiver operating characteristic curve is often used to study the diagnostic accuracy of a single continuous biomarker, measured at baseline, on the onset of a disease condition when the disease onset may occur at different times during the follow-up and hence may be right censored. Due to right censoring, the true disease onset status prior to the pre-specified time h... ...
Statistical Methods in Medical Research - Tập 27 Số 8 - Trang 2264-2278 - 2018
Risk prediction for myocardial infarction via generalized functional regression models 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... ...
Statistical Methods in Medical Research - Tập 25 Số 4 - Trang 1648-1660 - 2016
Linear spline multilevel models for summarising childhood growth trajectories: A guide to their application using examples from five birth cohorts 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... ...
Statistical Methods in Medical Research - Tập 25 Số 5 - Trang 1854-1874 - 2016
Marginal structural models with dose-delay joint-exposure for assessing variations to chemotherapy intensity 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... ...
Statistical Methods in Medical Research - Tập 28 Số 9 - Trang 2787-2801 - 2019
Shrinkage observed-to-expected ratios for robust and transparent large-scale pattern discovery 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, ... ...
Statistical Methods in Medical Research - Tập 22 Số 1 - Trang 57-69 - 2013
Tổng số: 35
- 1
- 2
- 3
- 4