Biometry and medical statistics.

Abstract:

:The "biometric school" founded by K. Pearson, F. Galton, and W. F. R. Weldon was concerned especially with heredity and variation, and between the wars "biometry" was not widely used as a general term for quantitative biology. The foundation of the Biometric Society encouraged this wider usage, and medical and biological statistics were seen to share a common methodology. In recent years, medical statistics has developed more rapidly, and this growth has been reflected in the contents of Biometrics. The author stresses the essential unity of the subject, the central core of which is the application of statistics in the life sciences. The Society should encourage contact with those workers in quantitative biology who are outside this central tradition.

journal_name

Biometrics

journal_title

Biometrics

authors

Armitage P

subject

Has Abstract

pub_date

1985-12-01 00:00:00

pages

823-33

issue

4

eissn

0006-341X

issn

1541-0420

journal_volume

41

pub_type

杂志文章
  • 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

  • Bayesian semiparametric models for survival data with a cure fraction.

    abstract::We propose methods for Bayesian inference for a new class of semiparametric survival models with a cure fraction. Specifically, we propose a semiparametric cure rate model with a smoothing parameter that controls the degree of parametricity in the right tail of the survival distribution. We show that such a parameter ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.00383.x

    authors: Ibrahim JG,Chen MH,Sinha D

    更新日期:2001-06-01 00:00:00

  • Use of historical marker data for assessing treatment effects in phase I/II trials when subject selection is determined by baseline marker level.

    abstract::Although the primary focus of Phase I clinical trials is to assess clinical pharmacology and possible toxicities, any information on the potential effect of treatment would be useful in helping to determine priorities between treatments for further study. We consider the scenario where data are routinely collected on ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Lin HM,Hughes MD

    更新日期:1995-09-01 00:00:00

  • Linkage between quantitative trait loci and marker loci: resolution power of three statistical approaches in single marker analysis.

    abstract::This paper presents a comparison of three methods of parameter estimation in analysis of linkage between a quantitative trait locus (QTL) and a marker locus: maximum likelihood, mean square for trait cumulative distribution function, and method of moments, employing simulated backcross data. The sensitivity of estimat...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Korol AB,Ronin YI,Kirzhner VM

    更新日期:1996-06-01 00:00:00

  • Incorporating marginal covariate information in a nonparametric regression model for a sample of R x C tables.

    abstract:SUMMARY:Nonparametric regression models are proposed in the framework of ecological inference for exploratory modeling of disease prevalence rates adjusted for variables, such as age, ethnicity/race, and socio-economic status. Ecological inference is needed when a response variable and covariate are not available at th...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.00997.x

    authors: Staniswalis JG

    更新日期:2008-12-01 00:00:00

  • Estimating equations for removal data analysis.

    abstract::We consider the problem of estimating a population size from successive catches taken during a removal experiment and propose two estimating functions approaches, the traditional quasi-likelihood (TQL) approach for dependent observations and the conditional quasi-likelihood (CQL) approach using the conditional mean an...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.01263.x

    authors: Wang YG

    更新日期:1999-12-01 00:00:00

  • Confidence intervals and P-values for meta-analysis with publication bias.

    abstract::We study publication bias in meta-analysis by supposing there is a population (y, sigma) of studies which give treatment effect estimates y approximately N(theta, sigma(2)). A selection function describes the probability that each study is selected for review. The overall estimate of theta depends on the studies selec...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00705.x

    authors: Henmi M,Copas JB,Eguchi S

    更新日期:2007-06-01 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

  • Multiple imputation for model checking: completed-data plots with missing and latent data.

    abstract::In problems with missing or latent data, a standard approach is to first impute the unobserved data, then perform all statistical analyses on the completed dataset--corresponding to the observed data and imputed unobserved data--using standard procedures for complete-data inference. Here, we extend this approach to mo...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341X.2005.031010.x

    authors: Gelman A,Van Mechelen I,Verbeke G,Heitjan DF,Meulders M

    更新日期:2005-03-01 00:00:00

  • On modelling microbial infections.

    abstract::Several models for the course of microbial infections during the incubation period are examined. Each model fits sore throat incubation data very well. Together with the lack of precision of the resulting parameter estimates, this suggests that incubation data alone are insufficient for elucidating the finer details o...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Morgan BJ,Watts SA

    更新日期:1980-06-01 00:00:00

  • Multiple imputation methods for estimating regression coefficients in the competing risks model with missing cause of failure.

    abstract::We propose a method to estimate the regression coefficients in a competing risks model where the cause-specific hazard for the cause of interest is related to covariates through a proportional hazards relationship and when cause of failure is missing for some individuals. We use multiple imputation procedures to imput...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.01191.x

    authors: Lu K,Tsiatis AA

    更新日期:2001-12-01 00:00:00

  • Hypothesis testing under mixture models: application to genetic linkage analysis.

    abstract::In this paper we propose a new class of statistics to test a simple hypothesis against a family of alternatives characterized by a mixture model. Unlike the likelihood ratio statistic, whose large sample distribution is still unknown in this situation, these new statistics have a simple asymptotic distribution to whic...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00065.x

    authors: Liang KY,Rathouz PJ

    更新日期:1999-03-01 00:00:00

  • Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratios.

    abstract::A Bayesian adaptive design is proposed for dose-finding in phase I/II clinical trials to incorporate the bivariate outcomes, toxicity and efficacy, of a new treatment. Without specifying any parametric functional form for the drug dose-response curve, we jointly model the bivariate binary data to account for the corre...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00534.x

    authors: Yin G,Li Y,Ji Y

    更新日期:2006-09-01 00:00:00

  • Bias in estimating association parameters for longitudinal binary responses with drop-outs.

    abstract::This paper considers the impact of bias in the estimation of the association parameters for longitudinal binary responses when there are drop-outs. A number of different estimating equation approaches are considered for the case where drop-out cannot be assumed to be a completely random process. In particular, standar...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.00015.x

    authors: Fitzmaurice GM,Lipsitz SR,Molenberghs G,Ibrahim JG

    更新日期:2001-03-01 00:00:00

  • A new method to explore the distribution of interindividual random effects in non-linear mixed effects models.

    abstract::This article presents a new approach for exploring the distribution of interindividual random effects in nonlinear mixed effect models. The approach introduces a spline function, which transforms an assumed normally distributed interindividual random effect to an arbitrary distribution approximating that of the data. ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Fattinger KE,Sheiner LB,Verotta D

    更新日期:1995-12-01 00:00:00

  • A note on the operating characteristics of the modified F test.

    abstract::Brownie, Boos, and Hughes-Oliver (1990, Biometrics 46, 259-266) suggested a modification to the fixed-effects analysis of variance (ANOVA) F test for use in situations where treatments are likely to affect mean response while simultaneously increasing between-subject variability. These authors suggest that the modifie...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Blair RC,Sawilowsky S

    更新日期:1993-09-01 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

  • Matched case-control data analysis with selection bias.

    abstract::Case-control studies offer a rapid and efficient way to evaluate hypotheses. On the other hand, proper selection of the controls is challenging, and the potential for selection bias is a major weakness. Valid inferences about parameters of interest cannot be drawn if selection bias exists. Furthermore, the selection b...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.01106.x

    authors: Lin IF,Paik MC

    更新日期:2001-12-01 00:00:00

  • Adaptive decision making in a lymphocyte infusion trial.

    abstract::We describe an adaptive Bayesian design for a clinical trial of an experimental treatment for patients with hematologic malignancies who initially received an allogeneic bone marrow transplant but subsequently suffered a disease recurrence. Treatment consists of up to two courses of targeted immunotherapy followed by ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2002.00560.x

    authors: Thall PF,Inoue LY,Martin TG

    更新日期:2002-09-01 00:00:00

  • Objective Bayesian search of Gaussian directed acyclic graphical models for ordered variables with non-local priors.

    abstract::Directed acyclic graphical (DAG) models are increasingly employed in the study of physical and biological systems to model direct influences between variables. Identifying the graph from data is a challenging endeavor, which can be more reasonably tackled if the variables are assumed to satisfy a given ordering; in th...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12018

    authors: Altomare D,Consonni G,La Rocca L

    更新日期:2013-06-01 00:00:00

  • Modeling familial association of ages at onset of disease in the presence of competing risk.

    abstract::In genetic family studies, ages at onset of diseases are routinely collected. Often one is interested in assessing the familial association of ages at the onset of a certain disease type. However, when a competing risk is present and is related to the disease of interest, the usual measure of association by treating t...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2009.01372.x

    authors: Shih JH,Albert PS

    更新日期:2010-12-01 00:00:00

  • Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks.

    abstract::Thanks to the growing interest in personalized medicine, joint modeling of longitudinal marker and time-to-event data has recently started to be used to derive dynamic individual risk predictions. Individual predictions are called dynamic because they are updated when information on the subject's health profile grows ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12232

    authors: Blanche P,Proust-Lima C,Loubère L,Berr C,Dartigues JF,Jacqmin-Gadda H

    更新日期:2015-03-01 00:00:00

  • On the Colton model for clinical trials with delayed observations -- normally-distributed responses.

    abstract::The Colton model for the choice between two medical treatments is studied, with the additional assumption that there is a time lag between the administration of the treatments and the availability of the responses. Two simple procedures are suggested for dealing with patients who arrive during the waiting period, caus...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Langenberg P,Srinivasan R

    更新日期:1981-03-01 00:00:00

  • Dose-finding designs for HIV studies.

    abstract::We present a class of simple designs that can be used in early dose-finding studies in HIV. Such designs, in contrast with Phase I designs in cancer, have a lot of the Phase II flavor about them. Information on efficacy is obtained during the trial and is as important as that relating to toxicity. The designs proposed...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.01018.x

    authors: O'Quigley J,Hughes MD,Fenton T

    更新日期:2001-12-01 00:00:00

  • Fisher's contributions to genetics and heredity, with special emphasis on the Gregor Mendel controversy.

    abstract::R. A. Fisher is widely respected for his contributions to both statistics and genetics. For instance, his 1930 text on The Genetical Theory of Natural Selection remains a watershed contribution in that area. Fisher's subsequent research led him to study the work of (Johann) Gregor Mendel, the 19th century monk who fir...

    journal_title:Biometrics

    pub_type: 传,历史文章,杂志文章,评审

    doi:

    authors: Piegorsch WW

    更新日期:1990-12-01 00:00:00

  • Model selection and inference for censored lifetime medical expenditures.

    abstract::Identifying factors associated with increased medical cost is important for many micro- and macro-institutions, including the national economy and public health, insurers and the insured. However, assembling comprehensive national databases that include both the cost and individual-level predictors can prove challengi...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12464

    authors: Johnson BA,Long Q,Huang Y,Chansky K,Redman M

    更新日期:2016-09-01 00:00:00

  • A semiparametric estimate of treatment effects with censored data.

    abstract::A semiparametric estimate of an average regression effect with right-censored failure time data has recently been proposed under the Cox-type model where the regression effect beta(t) is allowed to vary with time. In this article, we derive a simple algebraic relationship between this average regression effect and a m...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.00875.x

    authors: Xu R,Harrington DP

    更新日期:2001-09-01 00:00:00

  • Modification of the Greenwood formula for correlated response times.

    abstract::Life-table methodology for interval-censored survival times is used to estimate marginal survival probabilities from data consisting of independent cohorts of correlated responses. We restrict our attention to situations where response times within cohorts are exchangeable and the marginal survival distributions are t...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Kang SS,Koehler KJ

    更新日期:1997-09-01 00:00:00

  • Capture-recapture when time and behavioral response affect capture probabilities.

    abstract::We consider a capture-recapture model in which capture probabilities vary with time and with behavioral response. Two inference procedures are developed under the assumption that recapture probabilities bear a constant relationship to initial capture probabilities. These two procedures are the maximum likelihood metho...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2000.00427.x

    authors: Chao A,Chu W,Hsu CH

    更新日期:2000-06-01 00:00:00

  • Maximum likelihood estimation for incomplete repeated-measures experiments under an ARMA covariance structure.

    abstract::A stochastic model is presented for the analysis of incomplete repeated-measures experiments. The general linear model is used to relate the response measures to other variables which are thought to account for inherent variation; an autoregressive moving average (ARMA) time series representation is used to model dist...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Rochon J,Helms RW

    更新日期:1989-03-01 00:00:00