Promoting interactions with basic scientists and clinicians: the NIA Alzheimer's Disease Data Coordinating Center.

Abstract:

:To benefit Alzheimer's disease research, a central data co-ordinating centre (CDCC) is planned that will systematically collect data from 27 Alzheimer's disease centres (ADCs) located nationwide. This CDCC will combine, analyse and disseminate epidemiologic, demographic, clinical and neuropathological data to researchers from the ADCs and the broader scientific community. New and larger scale collaborative studies on Alzheimer's disease will be possible through this centre. Since 1 July 1997, an interim data co-ordinating centre (IDCC) has been serving as the agent of the ADCs to begin the data sharing process until a permanent CDCC is established. The data collected by the IDCC are limited to administrative information and to indexing of specimens and clinical material, with future plans for the transfer of the data collected to the CDCC once it is established.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Cronin-Stubbs D,DeKosky ST,Morris JC,Evans DA

doi

10.1002/(sici)1097-0258(20000615/30)19:11/12<1453:

subject

Has Abstract

pub_date

2000-06-15 00:00:00

pages

1453-61

issue

11-12

eissn

0277-6715

issn

1097-0258

pii

10.1002/(SICI)1097-0258(20000615/30)19:11/12<1453:

journal_volume

19

pub_type

杂志文章
  • Estimating probit models with self-selected treatments.

    abstract::Outcomes research often requires estimating the impact of a binary treatment on a binary outcome in a non-randomized setting, such as the effect of taking a drug on mortality. The data often come from self-selected samples, leading to a spurious correlation between the treatment and outcome when standard binary depend...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2226

    authors: Bhattacharya J,Goldman D,McCaffrey D

    更新日期:2006-02-15 00:00:00

  • The impact of heterogeneity on the comparison of survival times.

    abstract::We consider several sources of heterogeneity in a clinical trial with patients' survival time as the main response criterion: differences in prognosis which can be attributed to a latent or ignored prognostic factor; differences in treatment efficacy in subgroups of patients, and differences in treatment combinations ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780060708

    authors: Schumacher M,Olschewski M,Schmoor C

    更新日期:1987-10-01 00:00:00

  • Modelling the 1985 influenza epidemic in France.

    abstract::The Rvachev-Baroyan-Longini model is a space-time predictive model of the spread of influenza epidemics. It has been applied to 128 cities of the USSR, and more recently, to forecasting the spread of the pandemic of 1968-1969 throughout 52 large cities. It is a deterministic, mass-action, space and time continuous mod...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780071107

    authors: Flahault A,Letrait S,Blin P,Hazout S,Ménarés J,Valleron AJ

    更新日期:1988-11-01 00:00:00

  • Semiparametric Bayesian variable selection for gene-environment interactions.

    abstract::Many complex diseases are known to be affected by the interactions between genetic variants and environmental exposures beyond the main genetic and environmental effects. Study of gene-environment (G×E) interactions is important for elucidating the disease etiology. Existing Bayesian methods for G×E interaction studie...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8434

    authors: Ren J,Zhou F,Li X,Chen Q,Zhang H,Ma S,Jiang Y,Wu C

    更新日期:2020-02-28 00:00:00

  • Design and sample size considerations for valuation studies of multi-attribute utility instruments.

    abstract::The EQ-5D, a widely used multiattribute utility instrument, is commonly used in health economic evaluations where the goal is to decide on which treatments to reimburse. Like other instruments, value sets of the EQ-5D are constructed using valuation studies typically valuing a subset of the health states and using pre...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8592

    authors: Shams S,Pullenayegum E

    更新日期:2020-10-15 00:00:00

  • Methods for epidemiologic analyses of multiple exposures: a review and comparative study of maximum-likelihood, preliminary-testing, and empirical-Bayes regression.

    abstract::Many epidemiologic investigations are designed to study the effects of multiple exposures. Most of these studies are analysed either by fitting a risk-regression model with all exposures forced in the model, or by using a preliminary-testing algorithm, such as stepwise regression, to produce a smaller model. Research ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章,评审

    doi:10.1002/sim.4780120802

    authors: Greenland S

    更新日期:1993-04-30 00:00:00

  • Exact test size and power of a Gaussian error linear model for an internal pilot study.

    abstract::Wittes and Brittain recommended using an 'internal pilot study' to adjust sample size. The approach involves five steps in testing a general linear hypothesis for a general linear univariate model, with Gaussian errors. First, specify the design, hypothesis, desired test size, power, a smallest 'clinically meaningful'...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/(sici)1097-0258(19990530)18:10<1199::aid-s

    authors: Coffey CS,Muller KE

    更新日期:1999-05-30 00:00:00

  • Methods for analyzing data from probabilistic linkage strategies based on partially identifying variables.

    abstract::In record linkage studies, unique identifiers are often not available, and therefore, the linkage procedure depends on combinations of partially identifying variables with low discriminating power. As a consequence, wrongly linked covariate and outcome pairs will be created and bias further analysis of the linked data...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5498

    authors: Hof MH,Zwinderman AH

    更新日期:2012-12-30 00:00:00

  • Estimation of haemophilia-associated AIDS incidence in Japan using individual dates of diagnosis.

    abstract::This paper presents a procedure for obtaining short-term projections and lower bounds on the size of the acquired immunodeficiency syndrome (AIDS) epidemic. The method is similar to that proposed by Brookmeyer and Gail but adapted to the situation where individual dates of AIDS diagnosis are available. It gives result...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780081210

    authors: Tango T

    更新日期:1989-12-01 00:00:00

  • Properties of R(2) statistics for logistic regression.

    abstract::Various R(2) statistics have been proposed for logistic regression to quantify the extent to which the binary response can be predicted by a given logistic regression model and covariates. We study the asymptotic properties of three popular variance-based R(2) statistics. We find that two variance-based R(2) statistic...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2300

    authors: Hu B,Palta M,Shao J

    更新日期:2006-04-30 00:00:00

  • Medical registers as historical controls: analysis of an open clinical trial of inosiplex in subacute sclerosing panencephalitis.

    abstract::Clinical trials of treatments for rare or fatal diseases must often use historical rather than randomized concurrent controls. Randomized trials may not be possible if (1) the number of patients available is quite small, (2) ethical considerations discourage the assignment of patients to control treatments known to be...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780030305

    authors: Hoehler FK,Mantel N,Gehan E,Kahana E,Alter M

    更新日期:1984-07-01 00:00:00

  • A pathway analysis method for genome-wide association studies.

    abstract::For genome-wide association studies, we propose a new method for identifying significant biological pathways. In this approach, we aggregate data across single-nucleotide polymorphisms to obtain summary measures at the gene level. We then use a hierarchical Bayesian model, which takes the gene-level summary measures a...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4477

    authors: Shahbaba B,Shachaf CM,Yu Z

    更新日期:2012-05-10 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

  • On prediction of future observation in growth curve model.

    abstract::Rao proposed and compared several approaches for predicting future observations in a growth curve model. The assessment of associated prediction efficiency for different prediction methods were evaluated by Cross-Validation Assessment Error (CVAE). He used three data sets, each with a limited number of subjects (13-27...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780132103

    authors: Tian JJ,Shukla R,Buncher CR

    更新日期:1994-11-15 00:00:00

  • Rank-based principal stratum sensitivity analyses.

    abstract::We describe rank-based approaches to assess principal stratification treatment effects in studies where the outcome of interest is only well-defined in a subgroup selected after randomization. Our methods are sensitivity analyses, in that estimands are identified by fixing a parameter and then we investigate the sensi...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5849

    authors: Lu X,Mehrotra DV,Shepherd BE

    更新日期:2013-11-20 00:00:00

  • A note on the bias of standard errors when orthogonality of mean and variance parameters is not satisfied in the mixed model for repeated measures analysis.

    abstract::The mixed effect models for repeated measures (MMRM) analysis is sometimes used as a primary analysis in longitudinal randomized clinical trials. The SE for the treatment effect in the MMRM analysis is usually estimated by assuming the orthogonality of the fixed effect and variance-covariance parameters, which is the ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8474

    authors: Maruo K,Ishii R,Yamaguchi Y,Doi M,Gosho M

    更新日期:2020-04-30 00:00:00

  • Distribution-free inference on contrasts of arbitrary summary measures of survival.

    abstract::We present an approach for inference on contrasts of clinically meaningful functionals of a survivor distribution (e.g., restricted mean, quantiles) that can avoid strong parametric or semiparametric assumptions on the underlying structure of the data. In this multistage approach, we first use an adaptive predictive m...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4505

    authors: Rudser KD,LeBlanc ML,Emerson SS

    更新日期:2012-07-20 00:00:00

  • Biomarker discovery using targeted maximum-likelihood estimation: application to the treatment of antiretroviral-resistant HIV infection.

    abstract::Researchers in clinical science and bioinformatics frequently aim to learn which of a set of candidate biomarkers is important in determining a given outcome, and to rank the contributions of the candidates accordingly. This article introduces a new approach to research questions of this type, based on targeted maximu...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3414

    authors: Bembom O,Petersen ML,Rhee SY,Fessel WJ,Sinisi SE,Shafer RW,van der Laan MJ

    更新日期:2009-01-15 00:00:00

  • Sample sizes for phase II and phase III clinical trials: an integrated approach.

    abstract::In this paper the following problem of clinical research is explored. Several potential new treatments are available for use against a certain disease. These are evaluated in a series of pilot studies which will constitute phase II clinical trials. The most promising will then be compared with a standard treatment in ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780050510

    authors: Whitehead J

    更新日期:1986-09-01 00:00:00

  • An improved algorithm for outbreak detection in multiple surveillance systems.

    abstract::In England and Wales, a large-scale multiple statistical surveillance system for infectious disease outbreaks has been in operation for nearly two decades. This system uses a robust quasi-Poisson regression algorithm to identify abberrances in weekly counts of isolates reported to the Health Protection Agency. In this...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5595

    authors: Noufaily A,Enki DG,Farrington P,Garthwaite P,Andrews N,Charlett A

    更新日期:2013-03-30 00:00:00

  • Nonparametric estimation of broad sense agreement between ordinal and censored continuous outcomes.

    abstract::The concept of broad sense agreement (BSA) has recently been proposed for studying the relationship between a continuous measurement and an ordinal measurement. They developed a nonparametric procedure for estimating the BSA index, which is only applicable to completely observed data. In this work, we consider the pro...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8523

    authors: Dai T,Guo Y,Peng L,Manatunga A

    更新日期:2020-06-30 00:00:00

  • Explaining heterogeneity in meta-analysis: a comparison of methods.

    abstract::Exploring the possible reasons for heterogeneity between studies is an important aspect of conducting a meta-analysis. This paper compares a number of methods which can be used to investigate whether a particular covariate, with a value defined for each study in the meta-analysis, explains any heterogeneity. The main ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/(sici)1097-0258(19991030)18:20<2693::aid-s

    authors: Thompson SG,Sharp SJ

    更新日期:1999-10-30 00:00:00

  • Long-term survivor mixture model with random effects: application to a multi-centre clinical trial of carcinoma.

    abstract::A mixture model incorporating long-term survivors has been adopted in the field of biostatistics where some individuals may never experience the failure event under study. The surviving fractions may be considered as cured. In most applications, the survival times are assumed to be independent. However, when the survi...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.932

    authors: Yau KK,Ng AS

    更新日期:2001-06-15 00:00:00

  • A semi-parametric regression analysis of CD4 cell counts.

    abstract::This paper considers the regression analysis of CD4 cell counts, a commonly used indicator and prognostic factor of AIDS progression. For this purpose, a number of methods have been proposed and most of them are based on random effects models. We present an alternative that is based on a mean function regression model...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.945

    authors: Sun J

    更新日期:2001-11-15 00:00:00

  • Testing departure from additivity in Tukey's model using shrinkage: application to a longitudinal setting.

    abstract::While there has been extensive research developing gene-environment interaction (GEI) methods in case-control studies, little attention has been given to sparse and efficient modeling of GEI in longitudinal studies. In a two-way table for GEI with rows and columns as categorical variables, a conventional saturated int...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6281

    authors: Ko YA,Mukherjee B,Smith JA,Park SK,Kardia SL,Allison MA,Vokonas PS,Chen J,Diez-Roux AV

    更新日期:2014-12-20 00:00:00

  • The ghosts of departed quantities: approaches to dealing with observations below the limit of quantitation.

    abstract::A common but not necessarily logical requirement in drug development is that a 'limit of quantitation' be set for chemical assays and that observations that fall below the limit should not be treated as real data but should be labelled as below the limit and set aside for special treatment. We examine five of seven ap...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5515

    authors: Senn S,Holford N,Hockey H

    更新日期:2012-12-30 00:00:00

  • Sampling-based estimation for massive survival data with additive hazards model.

    abstract::For massive survival data, we propose a subsampling algorithm to efficiently approximate the estimates of regression parameters in the additive hazards model. We establish consistency and asymptotic normality of the subsample-based estimator given the full data. The optimal subsampling probabilities are obtained via m...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8783

    authors: Zuo L,Zhang H,Wang H,Liu L

    更新日期:2021-01-30 00:00:00

  • Constrained S-estimators for linear mixed effects models with covariance components.

    abstract::Linear mixed effects (LME) models are increasingly used for analyses of biological and biomedical data. When the multivariate normal assumption is not adequate for an LME model, then a robust estimation approach is preferable to the maximum likelihood one. M-estimators were considered before for robust estimation of t...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4169

    authors: Chervoneva I,Vishnyakov M

    更新日期:2011-06-30 00:00:00

  • Reducing cost in sequential testing: a limit of indifference approach.

    abstract::In noninferiority studies, a limit of indifference is used to express a tolerance in results such that the clinician would regard such results as being acceptable or 'not worse'. We applied this concept to a measure of accuracy, the Receiver Operating Characteristic (ROC) curve, for a sequence of tests. We expressed a...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5741

    authors: Ahmed AE,Schubert CM,McClish DK

    更新日期:2013-07-20 00:00:00

  • Consequences of event rate heterogeneity across non-randomized study sub-groups.

    abstract::Analyses to compare non-randomized groups are more and more common in both post hoc analyses of randomized clinical trials data and in analyses of long-term observational data. In such cases, it is quite likely that there are unknown or uncollected sources of heterogeneity in event rates. Research has shown that an un...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.1795

    authors: Eberly LE

    更新日期:2004-07-15 00:00:00