Accounting for informatively missing data in logistic regression by means of reassessment sampling.

Abstract:

:We explore the 'reassessment' design in a logistic regression setting, where a second wave of sampling is applied to recover a portion of the missing data on a binary exposure and/or outcome variable. We construct a joint likelihood function based on the original model of interest and a model for the missing data mechanism, with emphasis on non-ignorable missingness. The estimation is carried out by numerical maximization of the joint likelihood function with close approximation of the accompanying Hessian matrix, using sharable programs that take advantage of general optimization routines in standard software. We show how likelihood ratio tests can be used for model selection and how they facilitate direct hypothesis testing for whether missingness is at random. Examples and simulations are presented to demonstrate the performance of the proposed method.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Lin J,Lyles RH

doi

10.1002/sim.6456

subject

Has Abstract

pub_date

2015-05-20 00:00:00

pages

1925-39

issue

11

eissn

0277-6715

issn

1097-0258

journal_volume

34

pub_type

杂志文章
  • Sample size calculations for evaluating a diagnostic test when the gold standard is missing at random.

    abstract::Performance of a diagnostic test is ideally evaluated by a comparison of the test results to a gold standard for all the patients in a study. In practice, however, it is common for a subset of study patients to have the gold standard not verified (missing) due to ethical or expense considerations. Sensitivity and spec...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3899

    authors: Kosinski AS,Chen Y,Lyles RH

    更新日期:2010-07-10 00:00:00

  • Comparing performance of surgeons using risk-adjusted procedures.

    abstract::It is naive and incorrect to use the proportions of successful operations to compare the performance of surgeons because the patients' risk profiles are different. In this paper, we explore the use of risk-adjusted procedures to compare the performance of surgeons. One such risk-adjusted statistic is the standardized ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.7310

    authors: Tang X,Gan FF

    更新日期:2017-07-20 00:00:00

  • Testing whether genetic variation explains correlation of quantitative measures of gene expression, and application to genetic network analysis.

    abstract::Genetic networks for gene expression data are often built by graphical models, which in turn are built from pair-wise correlations of gene expression levels. A key feature of building graphical models is the evaluation of conditional independence of two traits, given other traits. When conditional independence can be ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3274

    authors: Yu Z,Wang L,Hildebrandt MA,Schaid DJ

    更新日期:2008-08-30 00:00:00

  • Personalized dose selection in radiation therapy using statistical models for toxicity and efficacy with dose and biomarkers as covariates.

    abstract::Selection of dose for cancer patients treated with radiation therapy (RT) must balance the increased efficacy with the increased toxicity associated with higher dose. Historically, a single dose has been selected for a population of patients (e.g., all stage III non-small cell lung cancer). However, the availability o...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6285

    authors: Schipper MJ,Taylor JM,TenHaken R,Matuzak MM,Kong FM,Lawrence TS

    更新日期:2014-12-30 00:00:00

  • A metastasis or a second independent cancer? Evaluating the clonal origin of tumors using array copy number data.

    abstract::When a cancer patient develops a new tumor it is necessary to determine if it is a recurrence (metastasis) of the original cancer, or an entirely new occurrence of the disease. This is accomplished by assessing the histo-pathology of the lesions. However, there are many clinical scenarios in which this pathological di...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3866

    authors: Ostrovnaya I,Olshen AB,Seshan VE,Orlow I,Albertson DG,Begg CB

    更新日期:2010-07-10 00:00:00

  • A regression model for multivariate random length data.

    abstract::Multivariate random length data occur when we observe multiple measurements of a quantitative variable and the variable number of these measurements is also an observed outcome for each experimental unit. For example, for a patient with coronary artery disease, we may observe a number of lesions in that patient's coro...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/(sici)1097-0258(19990130)18:2<199::aid-sim

    authors: Barnhart HX,Kosinski AS,Sampson AR

    更新日期:1999-01-30 00:00:00

  • Re-evaluating design specifications of longitudinal clinical trials without unblinding when the key response is rate of change.

    abstract::The design of clinical trials often requires knowledge of quantities such as between- and within subject variances about which only imprecise information exists. To provide assurance that the study has the desired power to detect a minimum clinically meaningful difference between treatment groups. Gould, Gould and Shi...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780142007

    authors: Shih WJ,Gould AL

    更新日期:1995-10-30 00:00:00

  • Modeling and validating Bayesian accrual models on clinical data and simulations using adaptive priors.

    abstract::Slow recruitment in clinical trials leads to increased costs and resource utilization, which includes both the clinic staff and patient volunteers. Careful planning and monitoring of the accrual process can prevent the unnecessary loss of these resources. We propose two hierarchical extensions to the existing Bayesian...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6359

    authors: Jiang Y,Simon S,Mayo MS,Gajewski BJ

    更新日期:2015-02-20 00:00:00

  • Robust versus consistent variance estimators in marginal structural Cox models.

    abstract::In survival analyses, inverse-probability-of-treatment (IPT) and inverse-probability-of-censoring (IPC) weighted estimators of parameters in marginal structural Cox models are often used to estimate treatment effects in the presence of time-dependent confounding and censoring. In most applications, a robust variance e...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.7823

    authors: Enders D,Engel S,Linder R,Pigeot I

    更新日期:2018-10-30 00:00:00

  • Multilevel latent variable models for global health-related quality of life assessment.

    abstract::Quality of life (QOL) assessment is a key component of many clinical studies and frequently requires the use of single global summary measures that capture the overall balance of findings from a potentially wide-ranging assessment of QOL issues. We propose and evaluate an irregular multilevel latent variable model sui...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4455

    authors: Kifley A,Heller GZ,Beath KJ,Bulger D,Ma J,Gebski V

    更新日期:2012-05-20 00:00:00

  • Complete imputation of missing repeated categorical data: one-sample applications.

    abstract::Longitudinal studies with repeated measures are often subject to non-response. Methods currently employed to alleviate the difficulties caused by missing data are typically unsatisfactory, especially when the cause of the missingness is related to the outcomes. We present an approach for incomplete categorical data in...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.982

    authors: West CP,Dawson JD

    更新日期:2002-01-30 00:00:00

  • Design evaluation and optimisation in crossover pharmacokinetic studies analysed by nonlinear mixed effects models.

    abstract::Bioequivalence or interaction trials are commonly studied in crossover design and can be analysed by nonlinear mixed effects models as an alternative to noncompartmental approach. We propose an extension of the population Fisher information matrix in nonlinear mixed effects models to design crossover pharmacokinetic t...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4390

    authors: Nguyen TT,Bazzoli C,Mentré F

    更新日期:2012-05-20 00:00:00

  • Alpha calculus in clinical trials: considerations and commentary for the new millennium.

    abstract::Regardless of whether a statistician believes in letting a data set speak for itself through nominal p-values or believes in strict alpha conservation, the interpretation of experiments which are negative for the primary endpoint but positive for secondary endpoints is the source of some angst. The purpose of this pap...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/(sici)1097-0258(20000330)19:6<767::aid-sim

    authors: Moyé LA

    更新日期:2000-03-30 00:00:00

  • Effects and non-effects of paired identical observations in comparing proportions with binary matched-pairs data.

    abstract::Binary matched-pairs data occur commonly in longitudinal studies, such as in cross-over experiments. Many analyses for comparing the matched probabilities of a particular outcome do not utilize pairs having the same outcome for each observation. An example is McNemar's test. Some methodologists find this to be counter...

    journal_title:Statistics in medicine

    pub_type: 杂志文章,评审

    doi:10.1002/sim.1589

    authors: Agresti A,Min Y

    更新日期:2004-01-15 00:00:00

  • Smoothing across time in repeated cross-sectional data.

    abstract::Repeated cross-sectional samples are common in national surveys of health like the National Health Interview Survey (NHIS). Because population health outcomes generally evolve slowly, pooling data across years can improve the precision of current-year annual estimates of disease prevalence and other health outcomes. P...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3897

    authors: Lockwood JR,McCaffrey DF,Setodji CM,Elliott MN

    更新日期:2011-02-28 00:00:00

  • Integrating multiple-domain rules for disease classification.

    abstract::In psychiatry, clinicians use criteria sets from the Diagnostic and Statistical Manual of Mental Disorders to diagnose mental disorders. Most criteria sets have several symptom domains, and in order to be diagnosed, an individual must meet the minimum number of symptoms required by each domain. Some efforts are now fo...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8173

    authors: Mauro C,Shear MK,Wang Y

    更新日期:2019-07-20 00:00:00

  • A Bayesian analysis of mixture structural equation models with non-ignorable missing responses and covariates.

    abstract::In behavioral, biomedical, and social-psychological sciences, it is common to encounter latent variables and heterogeneous data. Mixture structural equation models (SEMs) are very useful methods to analyze these kinds of data. Moreover, the presence of missing data, including both missing responses and missing covaria...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3915

    authors: Cai JH,Song XY,Hser YI

    更新日期:2010-08-15 00:00:00

  • Dynamic Cox modelling based on fractional polynomials: time-variations in gastric cancer prognosis.

    abstract::The most popular model used for survival analysis is the proportional hazards regression model proposed by Cox. This is mainly due to its exceptional simplicity. Nevertheless the fundamental assumption of the Cox model is the proportionality of the hazards. For many applications, however, this assumption is doubtful. ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.1411

    authors: Berger U,Schäfer J,Ulm K

    更新日期:2003-04-15 00:00:00

  • An overall strategy based on regression models to estimate relative survival and model the effects of prognostic factors in cancer survival studies.

    abstract::Relative survival provides a measure of the proportion of patients dying from the disease under study without requiring the knowledge of the cause of death. We propose an overall strategy based on regression models to estimate the relative survival and model the effects of potential prognostic factors. The baseline ha...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2656

    authors: Remontet L,Bossard N,Belot A,Estève J,French network of cancer registries FRANCIM.

    更新日期:2007-05-10 00:00:00

  • An analysis of disease surveillance data that uses the geographic locations of the reporting units.

    abstract::The primary purpose of a disease surveillance system is to provide data for the detection of changes in the incidence of the disease. Methods for the analysis of data from surveillance systems are reviewed. A new procedure is proposed for use when the system includes geographically dispersed reporting units, such as h...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780080306

    authors: Raubertas RF

    更新日期:1989-03-01 00:00:00

  • Common predictor effects for multivariate longitudinal data.

    abstract::Multivariate outcomes measured longitudinally over time are common in medicine, public health, psychology and sociology. The typical (saturated) longitudinal multivariate regression model has a separate set of regression coefficients for each outcome. However, multivariate outcomes are often quite similar and many out...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3589

    authors: Jia J,Weiss RE

    更新日期:2009-06-15 00:00:00

  • Sample size planning for survival prediction with focus on high-dimensional data.

    abstract::Sample size planning should reflect the primary objective of a trial. If the primary objective is prediction, the sample size determination should focus on prediction accuracy instead of power. We present formulas for the determination of training set sample size for survival prediction. Sample size is chosen to contr...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5550

    authors: Götte H,Zwiener I

    更新日期:2013-02-28 00:00:00

  • Accelerated failure time models with covariates subject to measurement error.

    abstract::It has been well known that ignoring measurement error may result in substantially biased estimates in many contexts including linear and nonlinear regressions. For survival data with measurement error in covariates there has been extensive discussion in the literature with the focus being on the Cox proportional haza...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2892

    authors: He W,Yi GY,Xiong J

    更新日期:2007-11-20 00:00:00

  • Nonparametric group sequential methods for recurrent and terminal events from multiple follow-up windows.

    abstract::Few methods are currently available for group sequential analysis of recurrent events data subject to a terminal event in the clinical trial setting. This research helps fill this gap by developing a completely nonparametric group sequential monitoring procedure for use with the two-sample Tayob and Murray statistic. ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8389

    authors: Xia M,Murray S,Tayob N

    更新日期:2019-12-30 00:00:00

  • Easy and accurate variance estimation of the nonparametric estimator of the partial area under the ROC curve and its application.

    abstract::The receiver operating characteristic (ROC) curve is a popular technique with applications, for example, investigating an accuracy of a biomarker to delineate between disease and non-disease groups. A common measure of accuracy of a given diagnostic marker is the area under the ROC curve (AUC). In contrast with the AU...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6863

    authors: Yu J,Yang L,Vexler A,Hutson AD

    更新日期:2016-06-15 00:00:00

  • Reinforcement learning design for cancer clinical trials.

    abstract::We develop reinforcement learning trials for discovering individualized treatment regimens for life-threatening diseases such as cancer. A temporal-difference learning method called Q-learning is utilized that involves learning an optimal policy from a single training set of finite longitudinal patient trajectories. A...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3720

    authors: Zhao Y,Kosorok MR,Zeng D

    更新日期:2009-11-20 00:00:00

  • Estimation of mean sojourn time in breast cancer screening using a Markov chain model of both entry to and exit from the preclinical detectable phase.

    abstract::The sojourn time, time spent in the preclinical detectable phase (PCDP) for chronic diseases, for example, breast cancer, plays an important role in the design and assessment of screening programmes. Traditional methods to estimate it usually assume a uniform incidence rate of preclinical disease from a randomized con...

    journal_title:Statistics in medicine

    pub_type: 临床试验,杂志文章,随机对照试验

    doi:10.1002/sim.4780141404

    authors: Duffy SW,Chen HH,Tabar L,Day NE

    更新日期:1995-07-30 00:00:00

  • Mean square error of estimates of HIV prevalence and short-term AIDS projections derived by backcalculation.

    abstract::We simulated multinomial AIDS incidence counts from 27 'representative' AIDS epidemics that spanned a period corresponding to previous applications of backcalculation (1 January 1977 to 1 July 1987) and assessed mean square error for several back-calculated estimators of HIV prevalence and short-term AIDS projections....

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780100802

    authors: Rosenberg PS,Gail MH,Pee D

    更新日期:1991-08-01 00:00:00

  • A random effects model for ordinal responses from a crossover trial.

    abstract::Crossover studies have been successfully conducted in the case of continuous responses. Existing procedures of analysis for ordinal responses, on the other hand, are rarely satisfactory unless strict, usually unrealistic, assumptions are made. In this paper we investigate a random effects model and show that the model...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780100611

    authors: Ezzet F,Whitehead J

    更新日期:1991-06-01 00:00:00

  • A numerical strategy to evaluate performance of predictive scores via a copula-based approach.

    abstract::Assessing and comparing the performance of correlated predictive scores are of current interest in precision medicine. Given the limitations of available theoretical approaches for assessing and comparing the predictive accuracy, numerical methods are highly desired which, however, have not been systematically develop...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8566

    authors: Zhang Y,Shao Y

    更新日期:2020-09-10 00:00:00