The developers at PNLSC produce bespoke commercial software systems tailored for client specific applications
The paper "Facilitating meta-analyses by deriving relative effect and precision estimates for alternative comparisons from a set of estimates presented by exposure level or disease category" (Jan Hamling et al., Statistics in Medicine, 2008) describes software for calculating estimates.
Jan Hamling, in collaboration with Mathias Ambuehl of Consult AG in Berne, have developed the Excel and SAS software described in this paper.
Available here for download are the two versions as discussed in that paper, one using Excel with VBA macros and the other using SAS.
The following updated versions include the original RREst analysis (as detailed in the paper) but now incorporate trend analyses. The SAS and R versions also include Goodness of Fit:-
Excel Spreadsheet Version
Download the spreadsheet: RREst_trend.xlsm
Download the documentation: RREst_Trend.pdf
Download the documentation: RREst _trend_SAS.pdf
Download the SAS module RREst_trend.SAS (zip file): RREst_trend_SAS.zip
R Version (web
version, opens in a new tab)
Download the R Code R_ RREst.R (zip file) R_RRest.zip
Goodness of Fit (analysis in SAS & R versions only):-
Download the document: Goodness of fit tests for fitted RRs.pdf
Testing of RREst Trend in
R, SAS & Excel:-
Download a zip file containing the test documents, input files and results
The original versions are still available here:-
Excel Spreadsheet Version
Download the spreadsheet: RREst.xls
Download the documentation: RREst.pdf
Download the documentation: RREst SAS.doc
Download the SAS modules (zip file): RREst_SAS.zip (contains RREst.SAS & Examples RREst.SAS)
IMASS (International Mortality And Smoking Statistics)
A comprehensive Excel database system with mortality and smoking related data from 30 different countries.
Full details and downloads for the IMASS system
RoeLee & Peer Review
Whilst originally developed by P N Lee Statistics and Computing Ltd, the RoeLee system is now developed and supported by Roelee Statistics Ltd
The RoeLee system arose from original ideas of Dr. Francis Roe, a medically qualified pathologist in collaboration with Peter Lee. RoeLee is a system for recording, reporting and statistical analysis of histopathology data from long-term experimental carcinogenicity studies. Developed by Dr. John Fry over more than 20 years, the system now has an extremely wide range of facilities, and its range of use has widened considerably. The main areas of its use include:
This system enables detailed Peer Review of histopathology data. The data need not have been read initially on RoeLee, as Peer Review will accept data from existing systems such as Pathdata and Xybion. This allows users to carry out peer reviews whilst retaining their current data recording system and working environment.