The influence of time of administration on the pharmacokinetics of a once-a-day diltiazem formulation: morning against bedtime.

Twenty-three young, healthy, male volunteers received, in a randomized crossover design, 240 mg of a once-a-day diltiazem formulation at 08:00 (AM) or 22:00 (HS) for 6 days. A 7 day washout period was observed between the two modes of administration. Diltiazem plasma concentrations were monitored every hour for 24 h and at 30, 36, and 48 h after the last dose.

Bioavailability of metformin in tablet form using a new high pressure liquid chromatography assay method.

Twenty-four young healthy volunteers received a single dose of metformin 500 mg (Glucophage, Nordic Laboratories, Canada) in tablet form. Plasma concentrations were determined by HPLC in samples collected prior to and 0.33, 0.

RECPAM: a computer program for recursive partition and amalgamation for survival data and other situations frequently occurring in biostatistics. III. Classification according to a multivariate construct. Application to data on Haemophilus influenzae type b meningitis.

The methodology of RECursive Partition and AMalgamation (RECPAM) previously presented in Parts I and II (A. Ciampi et al., Computer.

Diltiazem pharmacokinetics in elderly volunteers after single and multiple doses.

In young healthy volunteers diltiazem does not have linear kinetics between single and multiple doses. Elimination half-life increases and gives AUC's and Cmax higher than those predicted from single dose data. Kinetics of diltiazem were assessed in 16 healthy elderly after a single 60 mg dose and in 24 healthy elderly after 60 mg every 8 h for 7 days.

Diltiazem pharmacokinetics in elderly volunteers after single and multiple doses.

In young healthy volunteers diltiazem does not have linear kinetics between single and multiple doses. Elimination half-life increases and gives AUC's and Cmax higher than those predicted from single dose data. Kinetics of diltiazem were assessed in 16 healthy elderly after a single 60 mg dose and in 24 healthy elderly after 60 mg every 8 h for 7 days.

Cluster analysis of an insulin-dependent diabetic cohort towards the definition of clinical subtypes.

Clinical and biochemical data on 111 consecutive insulin-dependent diabetic children enrolled in a longitudinal prospective study were analyzed to determine if more than one clinical expression of Type I diabetes exists. Use of multivariate statistical methods, including Correspondence Analysis, kappa-means clustering and RECPAM (RECursive Partition and AMalgamation), show that there are two well differentiated clinical expressions of IDDM each characterized by a cluster. One is characterized by later age, less severe onset, longer symptom duration, less beta-cell disappearance after 12 months, more females; the other by earlier age, more sudden and severe onset, DR 3/4, earlier disappearance of beta-cell function and more males.

RECPAM: a computer program for recursive partition amalgamation for censored survival data and other situations frequently occurring in biostatistics. II. Applications to data on small cell carcinoma of the lung (SCCL).

The RECPAM methodology previously presented in part I (A. Ciampi et al., Comput.

GENCOV: a Fortran program that generates randomly censored survival data with covariates.

We present a Fortran program for simulating censored survival data with covariates under the assumption of random censoring. The program generates times distributed according to the uniform distribution, the generalized Gamma distribution, the log-normal distribution and Pettitt's generalized logistic distribution with Box-Cox transformation of the time variable. Covariates can be introduced in the definition of the survival time, resulting in the generalized log-gamma, log-normal and Pettitt's regression models.

RECPAM: a computer program for recursive partition and amalgamation for censored survival data and other situations frequently occurring in biostatistics. I. Methods and program features.

The methodology of recursive partition and amalgamation in biostatistics is presented and a FORTRAN program for its implementation, RECPAM, is described. RECPAM can be used to obtain classifications of patients according to several criteria commonly occurring in clinical biostatistics: an example is prognostic classification based on survival data. Classes are defined by simple statements, expressed in clinical terms, about predictor variables (e.