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A nonlinear multiple regression program, MULT12 (BAYES), based on bayesian algorithm for microcomputers.

1985; Pharmaceutical Society of Japan; Volume: 8; Issue: 4 Linguagem: Inglês

10.1248/bpb1978.8.246

1881-1353

Kiyoshi Yamaoka, Terumichi Nakagawa, Hisashi Tanaka, Masato Yasuhara, Katsuhiko Okumura, Ryohei Hori,

Diabetes Management and Research

A nonlinear multiple regression analysis program MULTI2(BAYES) was developed for microcomputers. The Bayesian algorithm which is incorporated in MULTI2 (BAYES) combines the insufficient individual patient data (individual data) with the pharmacokinetic parameters published in literatures (population parameters) to predict the plasma time course of the patient. The program is written in the minimum Microsoft BASIC commands alone to be executable on many personal computers without any modification. The numbers of parameters to estimate, independent variables and dependent variables are not restricted in use of MULTI2(BAYES). The pharmacokinetic models are defined as one pleases by the user. The four nonlinear least squares algorithms, i.e. Gauss-Newton method, damping Gauss-Newton method, modified Marquardt method by Fletcher and simplex method can be selected at user's option. MULTI2(BAYES) calculates the confidence limits of time courses at 95% significant level.