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Dose-response meta-analysis

Orsini N., Bellocco R., Greenland S. (2006) Generalized least squares for trend estimation of summarized dose-response data, Stata Journal, 6(1), pp.40-57.
Advanced method (Part 4) in Jonathan A. C. Sterne (Editor) Meta-Analysis in Stata: An Updated Collection from the Stata Journal, 2009, StataPress
Orsini N., Ruifeng L., Wolk A., Khudyakov P., Spiegelman D. (2012) Meta-analysis for linear and non-linear dose-response relationships: examples, an evaluation of approximations, and software. American Journal of Epidemiology, 175(1):66-73.

Conferences

Multivariate dose-response meta-analysis: An update on glst. September 27, 2013
2013 Nordic and Baltic Users Group meeting, Stockholm, Sweden.

Meta-Analysis for Linear and Nonlinear Dose-Response Relations: Examples, an Evaluation of Approximations, and Software 3rd North American Congress of Epidemiology. Montreal, Canada, June 21-24, 2011

Meta-analysis of epidemiological dose-response data, October 10 - 11, 2005
2nd Italian Stata Users Group meeting, Milan, Italy.

Generalized least squares for trend estimation of summarized dose-response data, September 26, 2005 1st Nordic and Baltic Stata Users Group meeting, Stockholm, Sweden.

Worked examples (do-file in txt format)

Dose-response model for a single study according to the study design

Case-control, Cumulative-incidence, Incidence-rate

Two-stage random-effects linear and non-linear models using Stata

Alcohol intake and colorectal cancer

Alcohol intake and lung cancer

Body mass index and renal cancer

Alcohol intake and cardiovascular risk

Two-stage random-effects linear and non-linear models using R

Alcohol intake and colorectal cancer

Alcohol intake and lung cancer

Body mass index and renal cancer

Alcohol intake and cardiovascular risk

Datasets in txt format

Alcohol intake and colorectal cancer

Alcohol intake and lung cancer

Body mass index and renal cancer

Alcohol intake and cardiovascular risk

Download and install using Stata

Copy and paste at command line

ssc install glst, replace

Download and install using R

The package dosresmeta is available on CRAN

Run the following lines to install it

install.packages(c("mvmeta","dosresmeta"))
#packages suggested for non-linear (spline) analysis:
install.packages("Hmisc")

For any question and feedback about the R package please contact Alessio Crippa.

Papers using and/or citing glst

Please let Nicola Orsini know of any further publications using glst including papers in press, working papers available over the internet, PhD theses, etc.

The command glst was cited by about 350 papers (Google Scholar) in leading medical journals (i.e., JAMA, Lancet, Stroke, Gastroenterology, American J of Medicine, American J of Clinical Nutrition, American J Epidemiology, International J Epidemiology, Journal National Cancer Institute, International J of Cancer, Cancer Causes and Control, Statistics in Medicine) with high impact factors over the last few years.