Background: Many reports present analyses of trends over time based on multiple years of data from National Center for Health Statistics (NCHS) surveys and the National Vital Statistics System (NVSS). Trend analyses of NCHS data involve analytic choices that can lead to different conclusions about the trends.Objective: This report discusses issues that should be considered when conducting a time trend analysis using NCHS data and presents guidelines for making trend analysis choices.Results: Trend analysis issues discussed include: choosing the observed time points to include in the analysis, considerations for survey data and vital records data (record level and aggregated), a general approach for conducting trend analyses, assorted other ...
Meta-analysis often requires pooling of correlated estimates to compute regression slopes (trends) a...
Ordinary Least Squares (OLS), Poisson, Negative Binomial, and Quasi-Poisson Regression methods were ...
<p>Time trend model: changes in health risk behavior between 2007 and 2015 after logistic regression...
Background: Analytic guidelines were first created in 1996 to assist data users in analyzing data fr...
Linear trend analysis of time series is standard procedure in many scientific disciplines. If the n...
Following individuals sampled in a large-scale health survey for the development of diseases and/or ...
In epidemiology, controlling infection is a crucial element. Since healthcare associated infections ...
Abstract Background Many epidemiological studies test trends when investigating the association betw...
Trend estimation is important in many fields, though arguably the most important ap-plications appea...
With the increased acceptance of electronic health records, we can observe theincreasing interest in...
Background: Joinpoint regression analysis is usually applied to study varying trends over time in or...
How to decide whether a statistically significant trend is of practical relevance? In the context of...
<p>The best model for quarterly mortality, neutrophil counts, and urea over the whole study period (...
This report presents alternative strategies This report presents alternative strategies for analysis...
Timely and accurate detection of turning points is an important issue in analysing time series data....
Meta-analysis often requires pooling of correlated estimates to compute regression slopes (trends) a...
Ordinary Least Squares (OLS), Poisson, Negative Binomial, and Quasi-Poisson Regression methods were ...
<p>Time trend model: changes in health risk behavior between 2007 and 2015 after logistic regression...
Background: Analytic guidelines were first created in 1996 to assist data users in analyzing data fr...
Linear trend analysis of time series is standard procedure in many scientific disciplines. If the n...
Following individuals sampled in a large-scale health survey for the development of diseases and/or ...
In epidemiology, controlling infection is a crucial element. Since healthcare associated infections ...
Abstract Background Many epidemiological studies test trends when investigating the association betw...
Trend estimation is important in many fields, though arguably the most important ap-plications appea...
With the increased acceptance of electronic health records, we can observe theincreasing interest in...
Background: Joinpoint regression analysis is usually applied to study varying trends over time in or...
How to decide whether a statistically significant trend is of practical relevance? In the context of...
<p>The best model for quarterly mortality, neutrophil counts, and urea over the whole study period (...
This report presents alternative strategies This report presents alternative strategies for analysis...
Timely and accurate detection of turning points is an important issue in analysing time series data....
Meta-analysis often requires pooling of correlated estimates to compute regression slopes (trends) a...
Ordinary Least Squares (OLS), Poisson, Negative Binomial, and Quasi-Poisson Regression methods were ...
<p>Time trend model: changes in health risk behavior between 2007 and 2015 after logistic regression...