American journal of pharmacy.

Vols. 7-67 also numbered as ser. 2, v. 1-18; ser. 3, v. 1-18; ser. 4, v. 1-25.

A text-book of chemistry, for students of medicine, pharmacy, and dentistry,

Mode of access: Internet.

A laboratory manual of qualitative chemical analysis, for students of medicine, dentistry and pharmacy,

Mode of access: Internet.

A handbook of elementary chemistry for students of medicine, dentistry and pharmacy,

Mode of access: Internet.

Organic chemistry, with applications to pharmacy and medicine,

Mode of access: Internet.

Bulletin of the Lloyd Library of Botany, Pharmacy and Materia Medica.

Mode of access: Internet.

Bulletin of the Lloyd Library of Botany, Pharmacy and Materia Medica.

Description based on surrogate.

Practical pharmacy and prescribing for students of medicine : being the course in use at St. Bartholomew's Hospital /

Interleaved.

[Pharmacy theses] Original work for Ph. C.

Mode of access: Internet.

Pharmacy benefit managers : early results on ventures with drug manufacturers : report to the Honorable Ron Wyden, House of Representatives /

"B-257388"--P. 1.

Across the dividing range - bridging the divides: Pharmacy opportunities across the hospital/community and inter-professional divides in rural and remote Australia

Rural and remote areas of Australia offer many opportunities for innovation in healthcare services. Some true healthcare 'network' models based around rural pharmacy can be established and evaluated. The lines between community and hospital pharmacy are often blurred and communication between health professionals enhanced. The blurring divide between hospital and community pharmacy in rural and remote areas has provided significant advances in practice. Projects have been set up to investigate the feasibility of community pharmacists integrating care for patients. These projects take advantage of the dual roles and the enhanced interaction between pharmacists and other health professionals in the bush. Opportunities for provision of clinical services beyond the traditional supply role have been taken in a number of remote communities

The Wellesley Island decision: Offshore native title post Yarmirr and ward

Casenote on Federal Court decision, The Lardil Peoples v State of Queensland - recognition of non-exclusive native title rights and interests in offshore areas.

Quantification of lean bodyweight

Background: Lean bodyweight (LBW) has been recommended for scaling drug doses. However, the current methods for predicting LBW are inconsistent at extremes of size and could be misleading with respect to interpreting weight-based regimens. Objective: The objective of the present study was to develop a semi-mechanistic model to predict fat-free mass (FFM) from subject characteristics in a population that includes extremes of size. FFM is considered to closely approximate LBW. There are several reference methods for assessing FFM, whereas there are no reference standards for LBW. Patients and methods: A total of 373 patients (168 male, 205 female) were included in the study. These data arose from two populations. Population A (index dataset) contained anthropometric characteristics, FFM estimated by dual-energy x-ray absorptiometry (DXA - a reference method) and bioelectrical impedance analysis (BIA) data. Population B (test dataset) contained the same anthropometric measures and FFM data as population A, but excluded BIA data. The patients in population A had a wide range of age (18-82 years), bodyweight (40.7-216.5kg) and BMI values (17.1-69.9 kg/m(2)). Patients in population B had BMI values of 18.7-38.4 kg/m(2). A two-stage semi-mechanistic model to predict FFM was developed from the demographics from population A. For stage 1 a model was developed to predict impedance and for stage 2 a model that incorporated predicted impedance was used to predict FFM. These two models were combined to provide an overall model to predict FFM from patient characteristics. The developed model for FFM was externally evaluated by predicting into population B. Results: The semi-mechanistic model to predict impedance incorporated sex, height and bodyweight. The developed model provides a good predictor of impedance for both males and females (r(2) = 0.78, mean error [ME] = 2.30 x 10(-3), root mean square error [RMSE] = 51.56 [approximately 10% of mean]). The final model for FFM incorporated sex, height and bodyweight. The developed model for FFM provided good predictive performance for both males and females (r(2) = 0.93, ME = -0.77, RMSE = 3.33 [approximately 6% of mean]). In addition, the model accurately predicted the FFM of subjects in population B (r(2) = 0.85, ME -0.04, RMSE = 4.39 [approximately 7% of mean]). Conclusions: A semi-mechanistic model has been developed to predict FFM (and therefore LBW) from easily accessible patient characteristics. This model has been prospectively evaluated and shown to have good predictive performance.