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This relation was considered after adjusting for age by poisson regression method.
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Kim et al. [16] used least absolute deviation (LAD) regression and the Poisson regression method.
Differences in disease load were tested at baseline and follow-up periods by t-test and Poisson regression methods.
Poisson regression methods were used to estimate rates and rate ratios (RR) by occupation, gender, race, age, tenure, and hospital unit.
Poisson regression methods were used to estimate incidence rates and rate ratios.
Quasi-Poisson regression provides more robust SDs than the standard Poisson regression methods where there is evidence of over dispersion in the model parameters.
Possible associations between leukaemia incidence and the variables listed above were investigated using Poisson regression methods.
Analyses of excess relative risk (ERR) models were performed using Poisson regression methods.
We assumed survival time follows a piecewise exponential distribution and applied Poisson regression methods.
The incidence of ARI and the predictors for episodes will be assessed assuming a Poisson distribution and multivariate analyses performed using Poisson regression methods.
The SMR and the rates were analysed using Poisson regression methods, assuming that the number of suicides follow a Poisson distribution.
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