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219 results
  1. ... unified approach to both confounding and missing data. Maximum Likelihood Methods Maximum likelihood estimation (MLE) is an analytic maximization procedure which ...
  2. ... Various Thresholds of TST for Tuberculosis Infection Using Maximum Likelihood Random-Effects Model. Abbreviations: BCG=bacille Calmette-Guérin; ... Thresholds of IGRA Tests for Tuberculosis Infection Using Maximum Likelihood Random-Effects Model. Abbreviations: BCG=bacille Calmette-Guérin; ...
  3. ... DL) method, the profile likelihood (PL) method, the maximum likelihood (ML) method, the restricted maximum likelihood (REML) method, the permutation (PE) method, and the ...
  4. ... with the DL method, estimates based on the maximum likelihood (ML) and restricted maximum likelihood (REML) methods tended to have narrower 95 percent ...
  5. ... loss at 12-18 months using a restricted maximum likelihood model with the Knapp-Hartung modification (using the ... All statistically significant results remained within the restricted maximum likelihood model, so we show results using the DerSimonian ...
  6. ... and 2 ). We repeated all analyses using a maximum likelihood–based method for random effects and found similar ... Figure 3 ). We repeated all analyses using a maximum likelihood–based method for random effects and found similar ...
  7. ... OR ‘diagnostic error’/exp OR ‘diagnostic error’ OR ‘maximum likelihood method’:de OR ‘test retest reliability’/exp OR ( ... OR ‘diagnostic error’/exp OR ‘diagnostic error’ OR ‘maximum likelihood method’:de OR ‘test retest reliability’/exp OR ( ...
  8. ... the report, we present additional model diagnostics for maximum likelihood and Bayesian methods. Our data were derived from ... to translate into other statistical packages that provide maximum likelihood implementations for general and generalized linear models. To ...
  9. ... model did not converge, we ran a restricted maximum likelihood analysis with the Knapp-Hartung correction for small ...
  10. ... MCMC methods that are now fairly robust. With maximum likelihood estimation using a frequentist approach, some of the ...
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