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Biometry (Latest Articles)
Latest indexed articles for 'Biometry'
Articles 91 to 100 of 200:
Ratio estimation with measurement error in the auxiliary variate.
30 May 2009 
SUMMARY: With auxiliary information that is well correlated with the primary variable of interest, ratio estimation of the finite population total may be much more efficient than alternative estimators that do not make use of the auxiliary variate. ...
rec_pub_18759838-ratio-estimation-measurement-error-auxiliary-variate.htm
30 May 2009 SUMMARY: Generalized linear mixed models (GLMMs) are widely used in the analysis of clustered data. However, the validity of likelihood-based inference in such analyses can be greatly affected by the assumed model for the random effects. We propose ...
rec_pub_18759837-diagnosis-random-effect-model-misspecification-generalized-linear.htm
Related causal frameworks for surrogate outcomes.
30 May 2009 SUMMARY: Four major frameworks have been developed for evaluating surrogate markers in randomized trials: one based on conditional independence of observable variables, another based on direct and indirect effects, a third based on a meta-analysis, ...
rec_pub_18759836-related-causal-frameworks-surrogate-outcomes.htm
Testing random effects in the linear mixed model using approximate bayes factors.
30 May 2009 SUMMARY: Deciding which predictor effects may vary across subjects is a difficult issue. Standard model selection criteria and test procedures are often inappropriate for comparing models with different numbers of random effects due to constraints ...
rec_pub_18759835-testing-random-effects-linear-mixed-model-using-approximate-bayes.htm
30 May 2009 SUMMARY: In many studies, the aim is to learn about the direct exposure effect, that is, the effect not mediated through an intermediate variable. For example, in circulation disease studies it may be of interest to assess whether a suitable level ...
rec_pub_18759834-sensitivity-analysis-principal-stratum-direct-effects-application.htm
30 May 2009 SUMMARY: We focus on estimation of the causal effect of treatment on the functional status of individuals at a fixed point in time t* after they have experienced a catastrophic event, from observational data with the following features: (i) ...
rec_pub_18759833-on-estimation-survivor-average-causal-effect-observational-studies.htm
Variable selection and model choice in geoadditive regression models.
30 May 2009 SUMMARY: Model choice and variable selection are issues of major concern in practical regression analyses, arising in many biometric applications such as habitat suitability analyses, where the aim is to identify the influence of potentially many ...
rec_pub_18759832-variable-selection-model-choice-geoadditive-regression-models.htm
Nested Markov compliance class model in the presence of time-varying noncompliance.
30 May 2009 
SUMMARY: We consider a Markov structure for partially unobserved time-varying compliance classes in the Imbens-Rubin (1997, The Annals of Statistics 25, 305-327) compliance model framework. The context is a longitudinal randomized intervention study ...
rec_pub_18759831-nested-markov-compliance-class-model-presence-time-varying.htm
Calculating sample size for studies with expected all-or-none nonadherence and selection bias.
30 May 2009 SUMMARY: We develop sample size formulas for studies aiming to test mean differences between a treatment and control group when all-or-none nonadherence (noncompliance) and selection bias are expected. Recent work by Fay, Halloran, and Follmann ...
rec_pub_18759830-calculating-sample-size-studies-expected-nonadherence-selection-bias.htm
30 May 2009 SUMMARY: This article expands upon recent interest in Bayesian hierarchical models in quantitative genetics by developing spatial process models for inference on additive and dominance genetic variance within the context of large spatially ...
rec_pub_18759829-hierarchical-spatial-modeling-additive-dominance-genetic-variance.htm
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