Predictions in overdispersed series of counts using an approximate predictive likelihood

in Journal of Forecasting (1997), 16

The generalized autoregression model or GARM, originally used to model series of non-negative data measured at irregularly spaced time points (Lambert, 1996a), is considered in a count data context. It is ... [more ▼]

The generalized autoregression model or GARM, originally used to model series of non-negative data measured at irregularly spaced time points (Lambert, 1996a), is considered in a count data context. It is first shown how the GARM can be expressed as a GLM in the special case of a linear model for some transform of the location parameter. The Butler approximate predictive likelihood (Butler, 1986, Rejoinder) is then used to define likelihood prediction envelopes. The width of these intervals is shown to be slightly wider than the Fisher (1959, pp. 128-33) and Lejeune and Faulkenberry (1982) predictive likelihood-based envelopes which assume that the parameters have fixed known values (equal to their maximum likelihood estimates). The method is illustrated on a small count data set showing overdispersion. [less ▲]

Modelling of repeated series of count data measured at unequally spaced times

in Journal of the Royal Statistical Society : Series C (Applied Statistics) (1996), 45

Modelling irregularly sampled profiles of nonnegative dog triglyceride responses under different distributional assumptions

in Statistics in Medicine (1996), 15

General methodology for modelling series of non-negative data observed at unequally spaced times is developed. The parameterization enables both the importance of the serial association, as well the order ... [more ▼]

General methodology for modelling series of non-negative data observed at unequally spaced times is developed. The parameterization enables both the importance of the serial association, as well the order of this dependence to be expressed. An example is given where the effects of three fibre based diets on dog triglyceride profiles are analysed and compared. Many different types of models based on common distributions such as the normal, exponential, gamma, Weibull and log-normal observations are presented. Comparison of possibly non-nested models fitted on the same data set is made using the Akaike criterion. [less ▲]

Physical Properties of Particles of Ipratropium and Clenbuterol Generated by Equipment Suitable for the Inhalation of Drugs by Calves

in Research in Veterinary Science (1995), 59(2), 164-167

When solutions of ipratropium and clenbuterol were atomised at 300 kPa and 450 kPa in equipment suitable for the inhalation of drugs by calves, the numbers, velocities and diameters of the particles ... [more ▼]

When solutions of ipratropium and clenbuterol were atomised at 300 kPa and 450 kPa in equipment suitable for the inhalation of drugs by calves, the numbers, velocities and diameters of the particles produced were similar. When the pressure was increased to 600 kPa more of the particles were less than 2 microns in diameter and fewer were more than 7 microns in diameter, the fractions of the total mass of the solution generated in these size ranges were similarly increased and decreased, and the velocities of the particles were increased. At any given pressure, the numbers of particles of different sizes, and the proportions of the total mass generated, were similar for the solutions of ipratropium and clenbuterol, but a solution of saline produced more particles with a diameter less than 3 microns. Particles from the solution of ipratropium had the highest velocity and particles from the solution of clenbuterol had the lowest velocity. [less ▲]

Induction of a Serotonin-S2 Receptor Blockade During Early or Late Stage of Acute Respiratory Distress Syndrome in Double-Muscled Calves: A Comparative Study

in Zentralblatt für Veterinarmedizin. Reihe A (1993), 40(4), 241-8

Ninety-four Belgian White and Blue double-muscled calves were involved in this study which aimed to compare the efficacy of a serotonin-S2 receptor blockade at two different stages of an acute respiratory ... [more ▼]

Ninety-four Belgian White and Blue double-muscled calves were involved in this study which aimed to compare the efficacy of a serotonin-S2 receptor blockade at two different stages of an acute respiratory distress syndrome (ARDS), i.e. at the occurrence of first clinical signs or when another anti-inflammatory compound was clinically shown to be ineffective. Metrenperone, a 5-hydroxytryptamine (5-HT2) blocker, was injected (intramuscularly, 5 times, at 12 hourly intervals, dose rate: 0.1 mg/kg) to (1) 58 calves referred to our laboratory after a treatment (group I) which lasted from 3 to 5 days and which did not improve the clinical status of the animals and (2) 36 calves investigated as soon as first clinical signs occurred (group II). Following the severity of the ARDS, the animals from group I needed to be classified into 2 groups: group IA (moderate ARDS - n = 45) and group IB (severe ARDS - n = 13). For animals in group I, the antibacterial compound previously used was maintained and administered during 4 more days whilst the previous anti-inflammatory drug was suppressed and replaced by metrenperone administered as mentioned above. In group II, each animal was treated with ceftiofur sodium as an antibacterial agent. A clinical score and a breathing score were calculated at each step of the investigation period, i.e. before (T0) and 1 hour (T1) after the first treatment, during the interval 12H-48H (T2) which followed this treatment and 168 H (T3) after this treatment. Four clinical parameters were also taken into account separately: rectal and cutaneous temperatures, respiratory and heart rates.(ABSTRACT TRUNCATED AT 250 WORDS) [less ▲]