Ordinary Least Squares (OLS), Poisson, Negative Binomial, and Quasi-Poisson Regression methods were assessed for testing the statistical significance of a trend by performing 10,000 simulations. The Poisson method should be used when data follow a Poisson distribution. The other methods should be used when data follow a normal distribution
Several studies indicate that the statistical education model and level in medical training fails to...
The performance of several models under different conditions of zero-inflation and dispersion are ev...
Interpretation of trends in disease rates using conventional age-period-cohort analyses is made diff...
Trend estimation is important in many fields, though arguably the most important applications appear...
Background Many epidemiological studies test trends when investigating the associati...
<p>(Basic statistical methods: descriptive statistics, t-test, one-way ANOVA, chi-squared test, nonp...
Trend estimation is important in many fields, though arguably the most important ap-plications appea...
Meta-analysis often requires pooling of correlated estimates to compute regression slopes (trends) a...
The frequently used visual analysis of single-case data focuses on data aspects such as level, trend...
The use of two statistical methods to quantify time trends (Poisson regression and time series analy...
Models are considered in which the underlying rate at which events occur can be represented by a reg...
The performance of several models under different conditions of zero-inflation and dispersion are ev...
This review article presents an assessment of trends in statistical methods and an evaluation of the...
It is common to define a change in health status or in a disease state on the basis of a sustained r...
Among the tests that can be used to detect dose-related trends in count data from toxicological stud...
Several studies indicate that the statistical education model and level in medical training fails to...
The performance of several models under different conditions of zero-inflation and dispersion are ev...
Interpretation of trends in disease rates using conventional age-period-cohort analyses is made diff...
Trend estimation is important in many fields, though arguably the most important applications appear...
Background Many epidemiological studies test trends when investigating the associati...
<p>(Basic statistical methods: descriptive statistics, t-test, one-way ANOVA, chi-squared test, nonp...
Trend estimation is important in many fields, though arguably the most important ap-plications appea...
Meta-analysis often requires pooling of correlated estimates to compute regression slopes (trends) a...
The frequently used visual analysis of single-case data focuses on data aspects such as level, trend...
The use of two statistical methods to quantify time trends (Poisson regression and time series analy...
Models are considered in which the underlying rate at which events occur can be represented by a reg...
The performance of several models under different conditions of zero-inflation and dispersion are ev...
This review article presents an assessment of trends in statistical methods and an evaluation of the...
It is common to define a change in health status or in a disease state on the basis of a sustained r...
Among the tests that can be used to detect dose-related trends in count data from toxicological stud...
Several studies indicate that the statistical education model and level in medical training fails to...
The performance of several models under different conditions of zero-inflation and dispersion are ev...
Interpretation of trends in disease rates using conventional age-period-cohort analyses is made diff...