- Stata- Downloadable content available from our Stata Software page
- Richard Nixon's Code Archive
- WinBUGS code and data
- R Packages
- SAS Macros
- C code
Richard Nixon's Code Archive
Richard left the Biostatistics Unit early in 2007. Below is an archive of his downloadable code that is referenced in his publications.
- Download WinBUGS to use the code.
- Nixon RM and Thompson SG, Incorporating covariate adjustment, subgroup analysis and between-centre differences into cost-effectiveness evaluations, Health Economics, 2005
- Normal-normal [model] This file is the most commented - READ THIS FIRST [inital values] [prior distribution limits]
- Gamma-gamma [model] [inital values] [prior distribution limits]
- Gamma-gamma with covariate adjustment [model] [inital values] [prior distribution limits]
- Gamma-gamma with difference between subgroups [model] [inital values] [prior distribution limits]
- Gamma-gamma with fixed-effect difference between centres [model] [inital values] [prior distribution limits]
- Gamma-gamma with random-effects difference between centres [model] [inital values] [prior distribution limits]
- Thompson SG, Nixon RM and Grieve R, Addressing the issues that arise in analysing multicentre cost data, with application to a multinational study, Submitted to Journal of Health Economics, 2005
- Nixon RM, Wonderling D and Grieve R. How to estimate cost-effectiveness acceptability curves, confidence ellipses and incremental net benefits alongside randomised controlled trials. Submitted to Health Economics Letters, 2005
- Nixon RM Bansback N and Brennan A. Using mixed treatment comparisons and meta-regression to perform indirect comparisons to estimate the efficacy of biologic treatments in rheumatoid arthritis Submitted to Statistics in Medicine, 2006
- Nixon RM and Bansback N and Stevens JW and Brennan A and Madan J. How useful is short-term evidence in designing long-term clinical trials in rheumatoid arthritis?: Predicting ACR20 and ACR50 at six months from ACR20 and ACR50 at one and three months in clinical trials. Submitted to Arthritis Research and Therapy, 2006
- Nixon RM, Wonderling D and Grieve R. Non-parametric methods for cost-effectiveness analysis: the central limit theorem and the bootstrap compared. Submitted to Health Economics, 2007.
- RM Nixon, J Madan, SW Duffy, P Tappenden, J Chillcot, FH Cafferty. Assessing screening sensitivity and progression rates of colorectal cancer using multi-state modeling. Submitted to Biometrics, 2007.
WinBUGS 1.4 code and data
Supplementary WinBUGS 1.4 software and data to reproduce the base case analysis presented in the paper "Structural and parameter uncertainty in Bayesian cost-effectiveness models" (Jackson, C. H., Sharples, L. D., Thompson, S. G.)
Supplementary Material for paper;
"Making predictions from complex longitudinal data, with application to planning monitoring intervals in a national screening programme"
by Sweeting MJ and Thompson SG.
- "Bayesian continuous reassessment method (CRM) designs for Phase I dose-finding trials"
This package implements a wide variety of one and two-parameter Bayesian CRM designs. The program can run interactively, allowing the user to enter outcomes after each cohort has been recruited, or via simulation to assess operating characteristics.
- "Individual patient data meta-analysis of time-to-event outcomes: one-stage versus two-stage approaches to estimating the hazard ratio under a random effects model."
J. Bowden, J. Tierney, M. Simmonds, A.J. Copas and J.P.T. Higgins. Research Synthesis Methods 2011.
- "Likelihood Estimation for a Longitudinal Negative Binomial Regression Model with Missing Outcomes."
Bond, SJ and Farewell VT
- "A random effect variance shift model for detecting outliers in meta-analysis."
Gumedze, F and Jackson, D. September 2010
- "Modelling multiple sources of dissemination bias in meta-analysis.
Jack Bowden, Dan Jackson, Simon G. Thompson. Statistics in Medicine, 2010. 29(7):945-955
- "ABSORB: A computer program for Assessing Bias using Sensitivity-analysis for Outcome Reporting Biases."
Dan Jackson. July 1, 2010
- "Multi-state Markov and hidden Markov models in continuous time."
See C. H. Jackson. Multi-State Models for Panel Data: The msm Package for R. Journal of Statistical Software, 2010. In press
- "Density strips and other methods for compactly illustrating distributions."
C. H. Jackson. Displaying uncertainty with shading. The American Statistician, 2008. 62(4):340-347.
- "Ecological regression using aggregate and individual data."
C. H. Jackson, N. G. Best and S. Richardson. Hierarchical related regression for combining aggregate and individual data in studies of socio-economic disease risk factors.Journal of the Royal Statistical Society, Series A: Statistics In Society, 2008. 171(1):159-178.
- "SAS code for the estimation and between-group comparison of cumulative incidence
functions in competing risks survival analysis"
Simon Bond. Pharmaceutical Programming. 2011. 4(1-2):1-13
- cuminc.sas: A macro to calculate the cumulative incidence curve for competing risks data
- gray.sas: A macro to calculate Gray's test comparing the cumulative incidence curves between groups
Gray RJ. A class of k-sample tests for comparing the cumulative incidence of competing risks.
Ann Stat. 1988; 16:1141-1154
- relabel.sas: A macro used by gray.sas to map a variable with an arbitrary set of values to a set of consecutive integers starting at 1
- "Identifying combined design and analysis procedures in two-stage trials with a binary end point."
Jack Bowden & James Wason. Statistics in Medicine. 2012. http://dx.doi.org/10.1002/sim.5468
- "An Optimal Stratified Simon Two-Stage Design."
Deepak Parashar, Jack Bowden, Colin Starr, Lorenz Wernisch & Adrian Mander.