Biometrics
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The Sampling Variance of the Genetic Correlation Coefficient
Biometrics - Tập 15 Số 3 - Trang 469 - 1959
Multievent: An Extension of Multistate Capture–Recapture Models to Uncertain States 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.
Biometrics - Tập 61 Số 2 - Trang 442-447 - 2005
DNA Microarray Experiments: Biological and Technological Aspects
Biometrics - Tập 58 Số 4 - Trang 701-717 - 2002
Small Sample Inference for Fixed Effects from Restricted Maximum Likelihood
Biometrics - Tập 53 Số 3 - Trang 983 - 1997
Presentation of Ordinal Regression Analysis on the Original Scale
Biometrics - Tập 52 Số 2 - Trang 771 - 1996
Varying Coefficients Model with Measurement Error Summary We 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.
Biometrics - Tập 64 Số 2 - Trang 519-526 - 2008
Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
Biometrics - Tập 44 Số 3 - Trang 837 - 1988
Model Selection for Extended Quasi-Likelihood Models in Small Samples
Biometrics - Tập 51 Số 3 - Trang 1077 - 1995
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