A biological marker model for predicting disease transitions.

Abstract:

:For patients with chronic myelogenous leukemia (CML), the effect of elevated blood levels of adenosine deaminase (ADA) is studied as a marker for transitions from stable disease to blast crisis and then to death. Data in the form of snapshots over time, with day, state of disease, and ADA level, are analyzed for 55 patients. A simple three-state Markov model with one-way transition probabilities dependent on ADA is used to determine if the marker has a significant effect on the prediction of changes from stable disease to blast crisis.

journal_name

Biometrics

journal_title

Biometrics

authors

Klein JP,Klotz JH,Grever MR

subject

Has Abstract

pub_date

1984-12-01 00:00:00

pages

927-36

issue

4

eissn

0006-341X

issn

1541-0420

journal_volume

40

pub_type

杂志文章
  • Tests for monotone mean residual life, using randomly censored data.

    abstract::At any age the mean residual life function gives the expected remaining life at that age. Reliabilists and biometricians have found it useful to categorize failure distributions by the monotonicity properties of the mean residual life function. Hollander and Proschan (1975, Biometrika 62, 585-593) have derived tests o...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Chen YY,Hollander M,Langberg NA

    更新日期:1983-03-01 00:00:00

  • On longitudinal prediction with time-to-event outcome: Comparison of modeling options.

    abstract::Long-term follow-up is common in many medical investigations where the interest lies in predicting patients' risks for a future adverse outcome using repeatedly measured predictors over time. A key quantity is the likelihood of developing an adverse outcome among individuals who survived up to time s given their covar...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12562

    authors: Maziarz M,Heagerty P,Cai T,Zheng Y

    更新日期:2017-03-01 00:00:00

  • On the accommodation of disease rate correlations in aggregate data studies of disease risk factors.

    abstract::Prentice and Sheppard (1995, Biometrika 82, 113-125) proposed a method for estimating relative risks associated with poorly measured exposures using disease rates from multiple populations and exposure and confounding factor data from sample surveys of persons in each population. The method involved an assumption of i...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Anderson AB,Prentice RL

    更新日期:1998-12-01 00:00:00

  • Gene-trait similarity regression for multimarker-based association analysis.

    abstract::We propose a similarity-based regression method to detect associations between traits and multimarker genotypes. The model regresses similarity in traits for pairs of "unrelated" individuals on their haplotype similarities, and detects the significance by a score test for which the limiting distribution is derived. Th...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01176.x

    authors: Tzeng JY,Zhang D,Chang SM,Thomas DC,Davidian M

    更新日期:2009-09-01 00:00:00

  • Comparison of different methods for decision-making in bioequivalence assessment.

    abstract::If the regulatory requirements are symmetrical, the use of symmetrical confidence intervals as a decision rule for bioequivalence assessment leads, as shown by simulations, to better level properties and an inferior power compared to a rule based on shortest confidence intervals. A choice between these two approaches ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Mandallaz D,Mau J

    更新日期:1981-06-01 00:00:00

  • Instrumental variable method for time-to-event data using a pseudo-observation approach.

    abstract::Observational studies are often in peril of unmeasured confounding. Instrumental variable analysis is a method for controlling for unmeasured confounding. As yet, theory on instrumental variable analysis of censored time-to-event data is scarce. We propose a pseudo-observation approach to instrumental variable analysi...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12451

    authors: Kjaersgaard MI,Parner ET

    更新日期:2016-06-01 00:00:00

  • Regional spatial modeling of topsoil geochemistry.

    abstract::Geographic information about the levels of toxics in environmental media is commonly used in regional environmental health studies when direct measurements of personal exposure is limited or unavailable. In this article, we propose a statistical framework for analyzing the spatial distribution of topsoil geochemical p...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01041.x

    authors: Calder CA,Craigmile PF,Zhang J

    更新日期:2009-03-01 00:00:00

  • A study of deleterious gene structure in plants using Markov chain Monte Carlo.

    abstract::The characteristics of deleterious genes have been of great interest in both theory and practice in genetics. Because of the complex genetic mechanism of these deleterious genes, most current studies try to estimate the overall magnitude of mortality effects on a population, which is characterized classically by the n...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00376.x

    authors: Lee JK,Lascoux M,Newton MA,Nordheim EV

    更新日期:1999-06-01 00:00:00

  • Extraction of food consumption systems by nonnegative matrix factorization (NMF) for the assessment of food choices.

    abstract::In Western countries where food supply is satisfactory, consumers organize their diets around a large combination of foods. It is the purpose of this article to examine how recent nonnegative matrix factorization (NMF) techniques can be applied to food consumption data to understand these combinations. Such data are n...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01588.x

    authors: Zetlaoui M,Feinberg M,Verger P,Clémençon S

    更新日期:2011-12-01 00:00:00

  • Sequential monitoring for comparison of changes in a response variable in clinical studies.

    abstract::The spending function approach proposed by Lan and DeMets (1983, Biometrika 70, 659-663) for sequential monitoring of clinical trials is applied to situations where comparison of changes in a continuous response variable between two groups is the primary concern. Death, loss to follow-up, and missed visits could cause...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章

    doi:

    authors: Wu MC,Lan KK

    更新日期:1992-09-01 00:00:00

  • Selecting the smoothing parameter for estimation of slowly changing evoked potential signals.

    abstract::Brain evoked potential (EP) data consist of a true response ("signal") and random background activity ("noise"), which are observed over repeated stimulus presentations ("trials"). A signal that changes slowly from trial to trial can be estimated by smoothing across trials and over time within trials. We present a met...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Raz J,Turetsky B,Fein G

    更新日期:1989-09-01 00:00:00

  • Biased and unbiased estimation in longitudinal studies with informative visit processes.

    abstract::The availability of data in longitudinal studies is often driven by features of the characteristics being studied. For example, clinical databases are increasingly being used for research to address longitudinal questions. Because visit times in such data are often driven by patient characteristics that may be related...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12501

    authors: McCulloch CE,Neuhaus JM,Olin RL

    更新日期:2016-12-01 00:00:00

  • ChIP-chip: data, model, and analysis.

    abstract::ChIP-chip (or ChIP-on-chip) is a technology for isolation and identification of genomic sites occupied by specific DNA-binding proteins in living cells. The ChIP-chip signals can be obtained over the whole genome by tiling arrays, where a peak shape is generally observed around a protein-binding site. In this article,...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00768.x

    authors: Zheng M,Barrera LO,Ren B,Wu YN

    更新日期:2007-09-01 00:00:00

  • The analysis of pair-matched case-control studies, a multivariate approach.

    abstract::In matched case-control studies one frequently must consider more than one variable in the analysis and in this paper a log-linear model is presented to meet this objective. A conditional argument yields a method for making inferences on the parameters measuring the association between the variables and disease. The r...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Holford TR

    更新日期:1978-12-01 00:00:00

  • A model-based approach for making ecological inference from distance sampling data.

    abstract::We consider a fully model-based approach for the analysis of distance sampling data. Distance sampling has been widely used to estimate abundance (or density) of animals or plants in a spatially explicit study area. There is, however, no readily available method of making statistical inference on the relationships bet...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2009.01265.x

    authors: Johnson DS,Laake JL,Ver Hoef JM

    更新日期:2010-03-01 00:00:00

  • Some scale estimators and lack-of-fit tests for the censored two-sample accelerated life model.

    abstract::Some new scale estimators for the censored two-sample accelerated life model are introduced. They are zeros of some integrated weighted difference between the two cumulative hazard estimators. These estimators are asymptotically normal. The weight is chosen to result in estimators whose asymptotic variances do not inv...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Yang S

    更新日期:1998-09-01 00:00:00

  • Performance of generalized estimating equations in practical situations.

    abstract::Moment methods for analyzing repeated binary responses have been proposed by Liang and Zeger (1986, Biometrika 73, 13-22), and extended by Prentice (1988, Biometrics 44, 1033-1048). In their generalized estimating equations (GEE), both Liang and Zeger (1986) and Prentice (1988) estimate the parameters associated with ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Lipsitz SR,Fitzmaurice GM,Orav EJ,Laird NM

    更新日期:1994-03-01 00:00:00

  • Propensity score matching and subclassification in observational studies with multi-level treatments.

    abstract::In this article, we develop new methods for estimating average treatment effects in observational studies, in settings with more than two treatment levels, assuming unconfoundedness given pretreatment variables. We emphasize propensity score subclassification and matching methods which have been among the most popular...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12505

    authors: Yang S,Imbens GW,Cui Z,Faries DE,Kadziola Z

    更新日期:2016-12-01 00:00:00

  • False discovery rate estimation for frequentist pharmacovigilance signal detection methods.

    abstract::Pharmacovigilance systems aim at early detection of adverse effects of marketed drugs. They maintain large spontaneous reporting databases for which several automatic signaling methods have been developed. One limit of those methods is that the decision rules for the signal generation are based on arbitrary thresholds...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2009.01262.x

    authors: Ahmed I,Dalmasso C,Haramburu F,Thiessard F,Broët P,Tubert-Bitter P

    更新日期:2010-03-01 00:00:00

  • Analysis of ordered categorical data: two score-independent approaches.

    abstract:SUMMARY:A trend test is often employed to analyze ordered categorical data, in which a set of increasing scores is assigned a priori. There is a drawback in this approach, because how to choose a set of scores is not clear. There have been debates on which scores should be used (e.g., Graubard and Korn, 1987, Biometric...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.00992.x

    authors: Zheng G

    更新日期:2008-12-01 00:00:00

  • Fair regression for health care spending.

    abstract::The distribution of health care payments to insurance plans has substantial consequences for social policy. Risk adjustment formulas predict spending in health insurance markets in order to provide fair benefits and health care coverage for all enrollees, regardless of their health status. Unfortunately, current risk ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13206

    authors: Zink A,Rose S

    更新日期:2020-09-01 00:00:00

  • Sample-size formula for the proportional-hazards regression model.

    abstract::A formula is derived for determining the number of observations necessary to test the equality of two survival distributions when concomitant information is incorporated. This formula should be useful in designing clinical trials with a heterogeneous patient population. Schoenfeld (1981, Biometrika 68, 316-319) derive...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章

    doi:

    authors: Schoenfeld DA

    更新日期:1983-06-01 00:00:00

  • Unbalanced regression analysis with residuals having a covariance structure of intra-class form.

    abstract::Let Yi be an ni X 1 vector of observations, Xi an ni X p matrix of known values, and beta an unknown p X 1 with the structure Yi = Xi beta + epsilon i, where the covariance matrix of epsilon i is of intra-class form, that is Cov (epsilon i) = sigma2[(1 - rho) Ii + rho e i e i'] where Ii is the ni X ni identity matrix ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Wiorkowski JJ

    更新日期:1975-09-01 00:00:00

  • Multistage index selection in finite populations.

    abstract::Multistage selection with fixed proportions and selection indices based on covariates of the target variable is studied. Assuming a multivariate normal distribution before the selection, expressions are presented for the expectation and the variance of the target variable in the retained subpopulation. As the numerica...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Norell L,Arnason T,Hugason K

    更新日期:1991-03-01 00:00:00

  • Comparing the performances of Diggle's tests of spatial randomness for small samples with and without edge-effect correction: application to ecological data.

    abstract::Diggle's tests of spatial randomness based on empirical distributions of interpoint distances can be performed with and without edge-effect correction. We present here numerical results illustrating that tests without the edge-effect correction proposed by Diggle (1979, Biometrics 35, 87-101) have a higher power for s...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00156.x

    authors: Gignoux J,Duby C,Barot S

    更新日期:1999-03-01 00:00:00

  • Statistical testing of genetic linkage under heterogeneity.

    abstract::Recent advances in human genetics have led to a renewed interest in statistical methods for the detection of linkage from family data--for example, between marker loci and disease traits. Statistical analysis of linkage between two loci is carried out almost exclusively by means of the lod (log-odds) score test, equiv...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Shoukri MM,Lathrop GM

    更新日期:1993-03-01 00:00:00

  • Spatial regression and spillover effects in cluster randomized trials with count outcomes.

    abstract::This paper describes methodology for analyzing data from cluster randomized trials with count outcomes, taking indirect effects as well spatial effects into account. Indirect effects are modeled using a novel application of a measure of depth within the intervention arm. Both direct and indirect effects can be estimat...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13316

    authors: Anaya-Izquierdo K,Alexander N

    更新日期:2020-06-18 00:00:00

  • Asymptotic confidence bands for generalized nonlinear regression models.

    abstract::Asymptotic confidence bands for generalized nonlinear regression models are developed. These are based on a combination of the S method of Scheffe, together with the delta method which is used to approximate the mean function by a linear combination of the parameters. The approach can be used in any situation where la...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Cox C,Ma G

    更新日期:1995-03-01 00:00:00

  • Novel two-phase sampling designs for studying binary outcomes.

    abstract::In biomedical cohort studies for assessing the association between an outcome variable and a set of covariates, usually, some covariates can only be measured on a subgroup of study subjects. An important design question is-which subjects to select into the subgroup to increase statistical efficiency. When the outcome ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13140

    authors: Wang L,Williams ML,Chen Y,Chen J

    更新日期:2020-03-01 00:00:00

  • A semiparametric empirical likelihood method for biased sampling schemes with auxiliary covariates.

    abstract::We consider a semiparametric inference procedure for data from epidemiologic studies conducted with a two-component sampling scheme where both a simple random sample and multiple outcome- or outcome-/auxiliary-dependent samples are observed. This sampling scheme allows the investigators to oversample certain subpopula...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00612.x

    authors: Wang X,Zhou H

    更新日期:2006-12-01 00:00:00