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作者:PANG, CF; THOMPSON, WA; FALLAHI, H
作者单位:Eastman Kodak
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作者:SCOTT, AJ; WILD, CJ
摘要:Prentice and Pyke (1979) have shown that valid estimators of the odds-ratio parameters in a logistic regression model may be obtained from case-control data by fitting the model as if the data had been obtained in a prospective study. The resulting estimates of standard errors are also valid asymptotically. We extend the Prentice-Pyke result to likelihood ratio tests obtained from fitting a prospective model. These tests are asymptotically exact if the hypothesis involves only the odds-ratio p...
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作者:TIERNEY, L; KASS, RE; KADANE, JB
作者单位:Carnegie Mellon University
摘要:This paper presents an asymptotic approximation for the marginal density of a nonlinear function g(.theta.) that is applicable when the joint density of .theta. is dominated by a single mode and the Jacobian of g is of full rank near that mode. The approximation is based on Laplace''s method and its asymptotic properties are similar to those of the saddlepoint approximation. The approximation is applied to that computation of a marginal posterior density, a marginal sampling density and a marg...
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作者:DABROWSKA, DM; DOKSUM, KA; SONG, JK
作者单位:University of California System; University of California Berkeley; Kyungpook National University (KNU)
摘要:We consider graphs, confidence procedures and tests that can be used with censored survival data to compare the hazard experience of a treatment group with that of a control group. In particular, we consider the relative change .DELTA.(t) in a cumulative rate function which is used to define a generalized proportional hazard model. This model is equivalent to the model obtained by introducing a gamma distributed frailty term in the proportional hazard model. We introduce an estimate .cxa..DELT...
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作者:ROY, R
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作者:LI, WK; HUI, YV
作者单位:Chinese University of Hong Kong
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作者:HUGGINS, RM
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作者:EVANS, MJ; GILULA, Z; GUTTMAN, I
作者单位:Hebrew University of Jerusalem
摘要:Latent class analysis in two-way contingency tables usually suffers from unidentifiability problems. These can be overcome by using Bayesian techniques in which prior distributions are assumed on the latent parameters. Application of these techniques, however, involves some unusual computational difficulties. Bayesian techniques suitable for latent class analyses together with a remedy to the computational difficulties are discussed in this paper.
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作者:RAO, CR; WU, YH
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作者:SINGH, AC; SUTRADHAR, BC
作者单位:Memorial University Newfoundland