Abstract:
:This paper illustrates the use of multidimensional scaling methods (MDS) to examine space-time patterns in epidemic data. The paper begins by outlining the principles of MDS. The model is then formally specified and illustrated by application to two data sets. The first is partly a tutorial example. It uses monthly reported measles morbidity data for the 31-year period from January 1960 to December 1990, collected for the 50 states of the USA, plus New York City and the District of Columbia. These data are used to explore the various ways in which MDS may be used to identify changing spatial patterns in geographically-coded data. In addition to their tutorial use, the data are also employed to search for any substantive changes in the geographical structure of measles epidemics in the USA that may have followed the introduction of mass vaccination in 1965. New England appears to have developed an epidemic profile distinct from the rest of the USA, and there is tentative evidence of an urban-rural split in epidemic characteristics. The second data set takes annual reported measles mortality data for New Zealand and the states of Australia from 1860 to 1949. MDS is used to show how the spatial relationships among these geographical units have changed over time in response to changes in the sizes of local susceptible populations.
journal_name
Stat Methods Med Resjournal_title
Statistical methods in medical researchauthors
Cliff AD,Haggett P,Smallman-Raynor MR,Stroup DF,Williamson GDdoi
10.1177/096228029500400202subject
Has Abstractpub_date
1995-06-01 00:00:00pages
102-23issue
2eissn
0962-2802issn
1477-0334journal_volume
4pub_type
杂志文章abstract::Cluster-level dynamic treatment regimens can be used to guide sequential treatment decision-making at the cluster level in order to improve outcomes at the individual or patient-level. In a cluster-level dynamic treatment regimen, the treatment is potentially adapted and re-adapted over time based on changes in the cl...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217708654
更新日期:2017-08-01 00:00:00
abstract::This paper presents and compares several methods of measuring continuous baseline covariate imbalance in clinical trial data. Simulations illustrate that though the t-test is an inappropriate method of assessing continuous baseline covariate imbalance, the test statistic itself is a robust measure in capturing imbalan...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280211416038
更新日期:2015-04-01 00:00:00
abstract::In the field of diagnostic studies for tree or umbrella ordering, under which the marker measurement for one class is lower or higher than those for the rest unordered classes, there exist a few diagnostic measures such as the naive AUC ( NAUC), the umbrella volume ( UV), and the recently proposed TAUC, i.e. area unde...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218755810
更新日期:2019-05-01 00:00:00
abstract::Evaluation of medical imaging devices often involves clinical studies where multiple readers (MR) read images of multiple cases (MC) for a clinical task, which are often called MRMC studies. In addition to sizing patient cases as is required in most clinical trials, MRMC studies also require sizing readers, since both...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219869370
更新日期:2020-06-01 00:00:00
abstract::One of the main advantages of Bayesian analyses of clinical trials is their ability to formally incorporate skepticism about large treatment effects through the use of informative priors. We conducted a simulation study to assess the performance of informative normal, Student- t, and beta distributions in estimating r...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280215620828
更新日期:2018-01-01 00:00:00
abstract::Cure rate models have been widely adopted for characterizing survival data that have long-term survivors. Under a mixture cure rate model where the population is a mixture of cured and susceptible subjects, a primary goal is to study covariate effects on the cure probability and survival function of the susceptible su...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217708684
更新日期:2017-10-01 00:00:00
abstract::Purpose The prevalence estimates of binary variables in sample surveys are often subject to two systematic errors: measurement error and nonresponse bias. A multiple-bias analysis is essential to adjust for both biases. Methods In this paper, we linked the latent class log-linear and proxy pattern-mixture models to ad...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217690939
更新日期:2018-10-01 00:00:00
abstract::Dependent censoring arises in biomedical studies when the survival outcome of interest is censored by competing risks. In survival data with microarray gene expressions, gene selection based on the univariate Cox regression analyses has been used extensively in medical research, which however, is only valid under the ...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280214533378
更新日期:2016-12-01 00:00:00
abstract::Dependent binary response data arise frequently in practice due to repeated measurements in longitudinal studies or to subsampling primary sampling units as in fields such as teratology and ophthalmology. Several classes of approaches have recently been proposed to analyse such repeated binary outcome data. The differ...
journal_title:Statistical methods in medical research
pub_type: 杂志文章,评审
doi:10.1177/096228029200100303
更新日期:1992-01-01 00:00:00
abstract::This paper is concerned with stochastic models for the spread of an epidemic among a community of households, in which individuals mix uniformly within households and, in addition, uniformly at a much lower rate within the population at large. This two-level mixing structure has important implications for the threshol...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280206071643
更新日期:2006-10-01 00:00:00
abstract::Simple mechanistic epidemic models are widely used for forecasting and parameter estimation of infectious diseases based on noisy case reporting data. Despite the widespread application of models to emerging infectious diseases, we know little about the comparative performance of standard computational-statistical fra...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217747054
更新日期:2018-07-01 00:00:00
abstract::Joint modelling of longitudinal biomarker and event-time processes has gained its popularity in recent years as they yield more accurate and precise estimates. Considering this modelling framework, a new methodology for evaluating the time-dependent efficacy of a longitudinal biomarker for clinical endpoint is propose...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280216673084
更新日期:2018-06-01 00:00:00
abstract::The Cochran-Armitage (CA) test is commonly used in both epidemiology and genetics to test for linear trend in two-way tables with a binary outcome. There has been increasing interest in the power and size of the test and in determination of sample size, especially when there is potential misclassification in the 'expo...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280211406424
更新日期:2014-06-01 00:00:00
abstract::In multi-regional trials, the underlying overall and region-specific accrual rates often do not hold constant over time and different regions could have different start-up times, which combined with initial jump in accrual within each region often leads to a discontinuous overall accrual rate, and these issues associa...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280214557581
更新日期:2017-04-01 00:00:00
abstract::Many non-experimental studies use propensity-score methods to estimate causal effects by balancing treatment and control groups on a set of observed baseline covariates. Full matching on the propensity score has emerged as a particularly effective and flexible method for utilizing all available data, and creating well...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280215601134
更新日期:2017-12-01 00:00:00
abstract::Cluster analysis via a finite mixture model approach is considered. With this approach to clustering, the data can be partitioned into a specified number of clusters g by first fitting a mixture model with g components. An outright clustering of the data is then obtained by assigning an observation to the component to...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1191/0962280204sm372ra
更新日期:2004-10-01 00:00:00
abstract::This paper focuses on inferential tools in the logistic regression model fitted by the Firth penalized likelihood. In this context, the Likelihood Ratio statistic is often reported to be the preferred choice as compared to the 'traditional' Wald statistic. In this work, we consider and discuss a wider range of test st...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280216661213
更新日期:2018-05-01 00:00:00
abstract::Sample selection arises when the outcome of interest is partially observed in a study. Although sophisticated statistical methods in the parametric and non-parametric framework have been proposed to solve this problem, it is yet unclear how to deal with selectively missing covariate data using simple multiple imputati...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217715663
更新日期:2019-01-01 00:00:00
abstract::This article aims to develop a probability-based model involving the use of direct likelihood formulation and generalised linear modelling (GLM) approaches useful in estimating important disease parameters from longitudinal or repeated measurement data. The current application is based on infection with respiratory sy...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280210385749
更新日期:2011-10-01 00:00:00
abstract::We propose a cross-validated area under the receiving operator characteristic (ROC) curve (CV-AUC) criterion for tuning parameter selection for penalized methods in sparse, high-dimensional logistic regression models. We use this criterion in combination with the minimax concave penalty (MCP) method for variable selec...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280211428385
更新日期:2013-10-01 00:00:00
abstract::In this paper, we develop a simple diagnostic test for the random-effects distribution in mixed models. The test is based on the gradient function, a graphical tool proposed by Verbeke and Molenberghs to check the impact of assumptions about the random-effects distribution in mixed models on inferences. Inference is c...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280214564721
更新日期:2017-04-01 00:00:00
abstract::Optimal therapeutic decisions can be made according to disease prognosis, where the residual lifetime is extensively used because of its straightforward interpretation and formula. To predict the residual lifetime in a dynamic manner, a longitudinal biomarker that is repeatedly measured during the post-baseline follow...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217753466
更新日期:2019-04-01 00:00:00
abstract::We review the origins of backcalculation (or back projection) methods developed for the analysis of AIDS (acquired immunodeficiency syndrome) incidence data. These techniques have been used extensively for >15 years to deconvolute clinical case incidence, given knowledge of the incubation period distribution, to obtai...
journal_title:Statistical methods in medical research
pub_type: 杂志文章,评审
doi:10.1191/0962280203sm337ra
更新日期:2003-06-01 00:00:00
abstract::This paper reviews models for incomplete continuous and categorical longitudinal data. In terms of Rubin's classification of missing value processes we are specifically concerned with the problem of nonrandom missingness. A distinction is drawn between the classes of selection and pattern-mixture models and, using sev...
journal_title:Statistical methods in medical research
pub_type: 杂志文章,评审
doi:10.1177/096228029900800105
更新日期:1999-03-01 00:00:00
abstract::Couples with diseases associated with the sexual chromosomes, as well as families in countries where the desire for a male is extreme, are interested in influencing the sex of the baby. We propose an original composite likelihood approach to analyse the relation between sex of the newborn and timing of the intercourse...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217702415
更新日期:2018-11-01 00:00:00
abstract::This article is motivated by the need for discovering patterns of patients' health based on their daily settings of care to aid the health policy-makers to improve the effectiveness of distributing funding for health services. The hidden process of one's health status is assumed to be a continuous smooth function, cal...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220951834
更新日期:2020-09-25 00:00:00
abstract::In genomic analysis, it is significant though challenging to identify markers associated with cancer outcomes or phenotypes. Based on the biological mechanisms of cancers and the characteristics of datasets, we propose a novel integrative interaction approach under a semiparametric model, in which genetic and environm...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220909969
更新日期:2020-10-01 00:00:00
abstract::In the past two decades, it has become increasingly clear that genetic factors contribute to the aetiology of many common diseases including cancers, coronary disease, allergy and psychiatric disorders. While one goal of genetic epidemiological studies is to locate susceptibility genes for these complex diseases, it i...
journal_title:Statistical methods in medical research
pub_type: 杂志文章,评审
doi:10.1177/096228020000900603
更新日期:2000-12-01 00:00:00
abstract::Researchers and clinicians often need to know whether a new method of measurement is equivalent to an established one that is already in use. For this problem, the estimation of limits of agreement advocated by Bland and Altman is a widely used solution. However, this approach ignores two vital issues in method compar...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280210379365
更新日期:2012-08-01 00:00:00
abstract::We propose a novel likelihood method for analyzing time-to-event data when multiple events and multiple missing data intervals are possible prior to the first observed event for a given subject. This research is motivated by data obtained from a heart monitor used to track the recovery process of subjects experiencing...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280212466089
更新日期:2016-04-01 00:00:00