Abstract:
:This study proposes semiparametric models for analysis of hierarchical count data containing excess zeros and overdispersion simultaneously. The methods discussed in this paper handle nonlinear covariate effects through flexible semiparametric multilevel regression techniques. This is performed by providing a comprehensive comparison of semiparametric multilevel zero-inflated negative binomial and semiparametric multilevel zero-inflated generalized Poisson models under the real and simulated data. An EM algorithm based on Newton-Raphson equations for maximum penalized likelihood estimation approach is developed. The performance of the proposed models is assessed by using a Monte Carlo simulation study. We also illustrated the methods by the analysis of decayed, missing, and filled teeth of children aged 5-14 years old.
journal_name
Stat Methods Med Resjournal_title
Statistical methods in medical researchauthors
Mahmoodi M,Moghimbeigi A,Mohammad K,Faradmal Jdoi
10.1177/0962280216657376subject
Has Abstractpub_date
2018-04-01 00:00:00pages
1187-1201issue
4eissn
0962-2802issn
1477-0334pii
0962280216657376journal_volume
27pub_type
杂志文章abstract::Clinical trials investigating the efficacy of two or more doses of an experimental treatment compared to a single reference arm are not uncommon. In such situations, if each dose is compared to the reference arm using an un-adjusted significance level, consideration of the Type I familywise error is likely to be requi...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280210378943
更新日期:2011-12-01 00:00:00
abstract::Common limitations of clustering methods include the slow algorithm convergence, the instability of the pre-specification on a number of intrinsic parameters, and the lack of robustness to outliers. A recent clustering approach proposed a fast search algorithm of cluster centers based on their local densities. However...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280215609948
更新日期:2017-12-01 00:00:00
abstract::Increasing the clinical applicability of functional neuroimaging technology is an emerging objective, e.g. for diagnostic and treatment purposes. We propose a novel Bayesian spatial hierarchical framework for predicting follow-up neural activity based on an individual's baseline functional neuroimaging data. Our appro...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280212448972
更新日期:2013-08-01 00:00:00
abstract::The change-point model has drawn much attention over the past few decades. It can accommodate the jump process, which allows for changes of the effects before and after the change point. Intellectual disability is a long-term disability that impacts performance in cognitive aspects of life and usually has its onset pr...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280212463415
更新日期:2016-04-01 00:00:00
abstract::Covariate-adaptive designs are widely used to balance covariates and maintain randomization in clinical trials. Adaptive designs for discrete covariates and their asymptotic properties have been well studied in the literature. However, important continuous covariates are often involved in clinical studies. Simply disc...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218770231
更新日期:2019-06-01 00:00:00
abstract::This review provides an overview of forensic inference from genetic markers. Because the judge and jurors are charged with decision-making, the forensic expert's job is to provide a useful summary of the evidence to the court. Hence, this review focuses on the likelihood ratio as a means of summarizing the genetic dat...
journal_title:Statistical methods in medical research
pub_type: 杂志文章,评审
doi:10.1177/096228029300200304
更新日期:1993-01-01 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::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::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::Repeated measures and multivariate outcomes are an increasingly common feature of trials. Their joint analysis by means of random effects and latent variable models is appealing but patterns of heterogeneity in outcome profile may not conform to standard multivariate normal assumptions. In addition, there is much inte...
journal_title:Statistical methods in medical research
pub_type: 杂志文章,评审
doi:10.1177/0962280209105016
更新日期:2010-06-01 00:00:00
abstract::In many experiments and especially in translational and preclinical research, sample sizes are (very) small. In addition, data designs are often high dimensional, i.e. more dependent than independent replications of the trial are observed. The present paper discusses the applicability of max t-test-type statistics (mu...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220970228
更新日期:2020-11-24 00:00:00
abstract::Identification of cancer patient subgroups using high throughput genomic data is of critical importance to clinicians and scientists because it can offer opportunities for more personalized treatment and overlapping treatments of cancers. In spite of tremendous efforts, this problem still remains challenging because o...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217752980
更新日期:2019-07-01 00:00:00
abstract::Statistical methods for carrying out asymptotic inferences (tests or confidence intervals) relative to one or two independent binomial proportions are very frequent. However, inferences about a linear combination of K independent proportions L = Σβ(i)p(i) (in which the first two are special cases) have had very little...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280209347953
更新日期:2011-08-01 00:00:00
abstract::Serial measurements of prostate-specific antigen (PSA) are used as a biomarker for men diagnosed with prostate cancer following an active monitoring programme. Distinguishing pathological changes from natural age-related changes is not straightforward. Here, we compare four approaches to modelling age-related change i...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280213503928
更新日期:2016-10-01 00:00:00
abstract::Non-parametric linkage analysis examines similarities among affected relatives in alleles of one or more genetic markers (pieces of DNA at known locations on a chromosome). The objective is to evaluate departures from the null hypothesis that the markers are not near a disease gene. Under the null hypothesis, Mendel's...
journal_title:Statistical methods in medical research
pub_type: 杂志文章,评审
doi:10.1177/096228020101000103
更新日期:2001-02-01 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::Pattern-mixture model (PMM)-based controlled imputations have become a popular tool to assess the sensitivity of primary analysis inference to different post-dropout assumptions or to estimate treatment effectiveness. The methodology is well established for continuous responses but less well established for binary res...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220941880
更新日期:2020-12-01 00:00:00
abstract::We propose a semiparametric multi-state frailty model to analyze clustered event-history data subject to interval censoring. The proposed model is motivated by an attempt to study the life course of dental caries at the tooth level, taking into account the multiplicity of caries states and the intra-oral clustering of...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218788383
更新日期:2019-09-01 00:00:00
abstract::Colorectal cancer is the second leading cause of death from cancer in the United States. To facilitate the efficiency of colorectal cancer screening, there is a need to stratify risk for colorectal cancer among the 90% of US residents who are considered "average risk." In this article, we investigate such risk stratif...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280213497432
更新日期:2016-08-01 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::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::The random effects model in meta-analysis is a standard statistical tool often used to analyze the effect sizes of the quantity of interest if there is heterogeneity between studies. In the special case considered here, meta-analytic data contain only the sample means in two treatment arms and the sample sizes, but no...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217718867
更新日期:2019-01-01 00:00:00
abstract::We consider two exact unconditional procedures to test the difference between two multinomials with ordered categorical data. Exact unconditional procedures are compared to other approaches based on the Wilcoxon mid-rank test and the proportional odds model. We use a real example from an arthritis pain study to illust...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280212450957
更新日期:2016-02-01 00:00:00
abstract::Nonlinear mixed-effects modeling is a popular approach to describe the temporal trajectory of repeated measurements of clinical endpoints collected over time in clinical trials, to distinguish the within-subject and the between-subject variabilities, and to investigate clinically important risk factors (covariates) th...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218812595
更新日期:2019-12-01 00:00:00
abstract::This paper reviews the application of statistical models to outbreaks of two common respiratory viral diseases, measles and influenza. For each disease, we look first at its epidemiological characteristics and assess the extent to which these either aid or hinder modelling. We then turn to the models that have been de...
journal_title:Statistical methods in medical research
pub_type: 杂志文章,评审
doi:10.1177/096228029300200104
更新日期:1993-01-01 00:00:00
abstract::In medical experiments with the objective of testing the equality of two means, data are often partially paired by design or because of missing data. The partially paired data represent a combination of paired and unpaired observations. In this article, we review and compare nine methods for analyzing partially paired...
journal_title:Statistical methods in medical research
pub_type: 杂志文章,评审
doi:10.1177/0962280215577111
更新日期:2017-06-01 00:00:00
abstract::Estimation of the effect of a binary exposure on an outcome in the presence of confounding is often carried out via outcome regression modelling. An alternative approach is to use propensity score methodology. The propensity score is the conditional probability of receiving the exposure given the observed covariates a...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280210394483
更新日期:2012-06-01 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::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::In recent years, disease mapping studies have become a routine application within geographical epidemiology and are typically analysed within a Bayesian hierarchical model formulation. A variety of model formulations for the latent level have been proposed but all come with inherent issues. In the classical BYM (Besag...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280216660421
更新日期:2016-08-01 00:00:00