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Biometrics

  0006-341X

  1541-0420

  Anh Quốc

Cơ quản chủ quản:  WILEY , Wiley-Blackwell Publishing Ltd

Lĩnh vực:
Statistics and ProbabilityMedicine (miscellaneous)Applied MathematicsBiochemistry, Genetics and Molecular Biology (miscellaneous)Immunology and Microbiology (miscellaneous)Agricultural and Biological Sciences (miscellaneous)

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Thông tin về tạp chí

 

The International Biometric Society is an international society promoting the development and application of statistical and mathematical theory and methods in the biosciences, including agriculture, biomedical science and public health, ecology, environmental sciences, forestry, and allied disciplines. The Society welcomes as members statisticians, mathematicians, biological scientists, and others devoted to interdisciplinary efforts in advancing the collection and interpretation of information in the biosciences. The Society sponsors the biennial International Biometric Conference, held in sites throughout the world; through its National Groups and Regions, it also Society sponsors regional and local meetings.

Các bài báo tiêu biểu

The Sampling Variance of the Genetic Correlation Coefficient
Tập 15 Số 3 - Trang 469 - 1959
Alan Robertson
Multievent: An Extension of Multistate Capture–Recapture Models to Uncertain States
Tập 61 Số 2 - Trang 442-447 - 2005
Roger Pradel
Summary Capture–recapture models were originally developed to account for encounter probabilities that are less than 1 in free‐ranging animal populations. Nowadays, these models can deal with the movement of animals between different locations and are also used to study transitions between different states. However, their use to estimate transitions between states does not account for uncertainty in state assignment. I present the extension of multievent models, which does incorporate this uncertainty. Multievent models belong to the family of hidden Markov models. I also show in this article that the memory model, in which the next state or location is influenced by the previous state occupied, can be fully treated within the framework of multievent models.
Testing the Homogeneity of Kappa Statistics
Tập 52 Số 1 - Trang 176 - 1996
Allan Donner, Michael Eliasziw, Neil Klar
DNA Microarray Experiments: Biological and Technological Aspects
Tập 58 Số 4 - Trang 701-717 - 2002
Danh V. Nguyen, Alaaddin Bulak Arpat, Naisyin Wang, Raymond J. Carroll
Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
Tập 53 Số 3 - Trang 983 - 1997
Mike Kenward, James Roger
Presentation of Ordinal Regression Analysis on the Original Scale
Tập 52 Số 2 - Trang 771 - 1996
M.C. Hannah, P. E. Quigley
The Combination of Estimates from Different Experiments
Tập 10 Số 1 - Trang 101 - 1954
William G. Cochran
Varying Coefficients Model with Measurement Error
Tập 64 Số 2 - Trang 519-526 - 2008
Liang Li, Tom Greene
SummaryWe propose a semiparametric partially varying coefficient model to study the relationship between serum creatinine concentration and the glomerular filtration rate (GFR) among kidney donors and patients with chronic kidney disease. A regression model is used to relate serum creatinine to GFR and demographic factors in which coefficient of GFR is expressed as a function of age to allow its effect to be age dependent. GFR measurements obtained from the clearance of a radioactively labeled isotope are assumed to be a surrogate for the true GFR, with the relationship between measured and true GFR expressed using an additive error model. We use locally corrected score equations to estimate parameters and coefficient functions, and propose an expected generalized cross‐validation (EGCV) method to select the kernel bandwidth. The performance of the proposed methods, which avoid distributional assumptions on the true GFR and residuals, is investigated by simulation. Accounting for measurement error using the proposed model reduced apparent inconsistencies in the relationship between serum creatinine and GFR among different clinical data sets derived from kidney donor and chronic kidney disease source populations.
Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
Tập 44 Số 3 - Trang 837 - 1988
Elizabeth R. DeLong, David M. DeLong, Daniel L. Clarke‐Pearson
Model Selection for Extended Quasi-Likelihood Models in Small Samples
Tập 51 Số 3 - Trang 1077 - 1995
Clifford M. Hurvich, Chih‐Ling Tsai
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