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Volumn 28, Issue 4, 2001, Pages 389-412

The need for mixed-effects modeling with population dichotomous data

Author keywords

Dichotomous data; Laplacian estimation method; Mixed effects; Naive pooled data; Restricted maximum likelihood estimation method

Indexed keywords

ANALYTIC METHOD; ARTICLE; DATA ANALYSIS; DRUG RESEARCH; MATHEMATICAL ANALYSIS; MAXIMUM LIKELIHOOD METHOD; METHODOLOGY; MODEL; POPULATION RESEARCH; PRIORITY JOURNAL; SIMULATION;

EID: 0034785846     PISSN: 1567567X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (25)

References (18)
  • 14
    • 0029816547 scopus 로고    scopus 로고
    • An EM algorithm for nonlinear random effects models
    • (1996) Biometrics , vol.52 , pp. 934-944
    • Walker, S.1
  • 17
    • 0021245449 scopus 로고
    • Population pharmacokinetic data and parameter estimation based on their first two statistical moments
    • (1984) Drug Metab. Rev. , vol.15 , pp. 173-193
    • Beal, S.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.