A methodology to identify the minimum of an exposure-response relationship estimated from a regression model, and to quantify the related uncertainty through empirical standard errors and confidence intervals. The method is demonstrated in the following article that illustrates an application for invesigating the minimum mortality temperature (MMT) in a set of cities in Spain:
Tobias A, Armstrong B, Gasparrini A. Investigating uncertainty in the minimum mortality temperature: methods and application to 52 Spanish cities. Epidemiology. 2017;28(1):72-76. [freely available here]
The material:
- london.csv stores the dataset used in the illustrative examples
- findmin.R is the R function computing the MMT and related uncertainty
- example.R is the R code illustrating an example
- sim.R is R code reproducing the results of the simulation study
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