Statistics in Medicine

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Combining several ordinal measures in clinical studies
Statistics in Medicine - Tập 23 Số 10 - Trang 1579-1592 - 2004
Knut M. Wittkowski, Edmund Lee, Rachel Nussbaum, Francesca Chamian, James G. Krueger
AbstractIn medical research, it is rare that a single variable is sufficient to represent all relevant aspects of epidemiological risk, genomic activity, adverse events, or clinical response. Since biological systems tend to be neither linear, nor hierarchical in nature, the assumptions of traditional multivariate statistical methods based on the linear model can o...... hiện toàn bộ
The performance of different propensity score methods for estimating marginal hazard ratios
Statistics in Medicine - Tập 32 Số 16 - Trang 2837-2849 - 2013
Peter C. Austin
Propensity score methods are increasingly being used to reduce or minimize the effects of confounding when estimating the effects of treatments, exposures, or interventions when using observational or non‐randomized data. Under the assumption of no unmeasured confounders, previous research has shown that propensity score methods allow for unbiased estimation of linear treatment effects (e....... hiện toàn bộ
Evaluation of various estimators for standardized mean difference in meta‐analysis
Statistics in Medicine - Tập 40 Số 2 - Trang 403-426 - 2021
Lifeng Lin, Ariel M. Aloe
Meta‐analyses of a treatment's effect compared with a control frequently calculate the meta‐effect from standardized mean differences (SMDs). SMDs are usually estimated by Cohen's d or Hedges' g. Cohen's d divides the difference between sample means of a continuous response by the pooled standard deviation, bu...... hiện toàn bộ
A Bayesian MCMC approach to study transmission of influenza: application to household longitudinal data
Statistics in Medicine - Tập 23 Số 22 - Trang 3469-3487 - 2004
Simon Cauchemez, Fabrice Carrat, Cécile Viboud, Alain‐Jacques Valleron, Piérre-Yves Boëlle
AbstractWe propose a transmission model to estimate the main characteristics of influenza transmission in households. The model details the risks of infection in the household and in the community at the individual scale. Heterogeneity among subjects is investigated considering both individual susceptibility and infectiousness. The model was applied to a data set c...... hiện toàn bộ
Bayesian methods for health‐related decision making
Statistics in Medicine - Tập 24 Số 4 - Trang 563-567 - 2005
Joseph B. Kadane
AbstractThis article reviews the basics of Bayesian decision theory, and comments on its use in medical decision making. It emphasizes the subjectivity of the probability and utility inputs, and the desirability, in certain contexts, of representing several decision makers, each with his or her own probabilities and utilities. Applications and ethical consideration...... hiện toàn bộ
A wilcoxon‐type test for trend
Statistics in Medicine - Tập 4 Số 1 - Trang 87-90 - 1985
Jack Cuzick
AbstractAn extension of the Wilcoxon rank‐sum test is developed to handle the situation in which a variable is measured for individuals in three or more (ordered) groups and a non‐parametric test for trend across these groups is desired. The uses of the test are illustrated by two examples from cancer research.
Application of models for multivariate mixed outcomes to medical device trials: coronary artery stenting
Statistics in Medicine - Tập 22 Số 2 - Trang 313-336 - 2003
A. James O’Malley, Sharon‐Lise T. Normand, Richard E. Kuntz
AbstractThe approval process for some medical devices involves a single‐arm trial in which the outcomes associated with the new device are compared to the expected outcomes associated with approved devices, the latter denoted the objective performance criterion (OPC). In this paper, models for multivariate mixed outcomes are applied to derive the OPC for a medical ...... hiện toàn bộ
Copula‐based regression models for a bivariate mixed discrete and continuous outcome
Statistics in Medicine - Tập 30 Số 2 - Trang 175-185 - 2011
Alexander R. de Leon, Bin Wu
AbstractThis paper is concerned with regression models for correlated mixed discrete and continuous outcomes constructed using copulas. Our approach entails specifying marginal regression models for the outcomes, and combining them via a copula to form a joint model. Specifically, we propose marginal regression models (e.g. generalized linear models) to link the ou...... hiện toàn bộ
Commentary
Statistics in Medicine - Tập 7 Số 1-2 - Trang 161-168 - 1988
Scott L. Zeger
The bootstrap and identification of prognostic factors via cox's proportional hazards regression model
Statistics in Medicine - Tập 4 Số 1 - Trang 39-46 - 1985
Chen‐Hsin Chen, Stephen L. George
AbstractThis paper describes the use of the bootstrap,1,2 a new computer‐based statistical methodology, to help validate a regression model resulting from the fitting of Cox's proportional hazards model3 to a set of censored survival data. As an example, we define a prognostic model for outcome in childhood acute lymphocyti...... hiện toàn bộ
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