<p>A and B: autocorrelation function (ACF) of normalized residuals of the AR1-model fitted to data of all hospitals (<b>A</b>) and of teaching hospitals only (<b>B</b>) including a fitted cubic representation of the CDI trend over time and seasonality. As in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0099860#pone-0099860-g002" target="_blank">figure 2</a>, the blue lines correspond to the threshold for significance of correlation (dependence) (p<0.05) between lagged weekly observations up to week 20. Crossing of this threshold by the AR1-model residuals at lag 2 suggests the AR1 structure (symptomatic cases primarily cause acquisition of <i>C. difficile</i> among patients admitted to hospital up to one week later ...
<p>Grey dots represent the weekly-observed CDI cases within all hospitals from April 2008 to March 2...
Traces indicate the average temporal autocorrelation for spike count fluctuations in alert (blue) an...
Autocorrelation for a lag period of 20 days (x-axis) was first assessed without further adjustment (...
<p>A and B: autocorrelation function (ACF) of normalized residuals of the base-model fitted to data ...
<p>Plots show auto-correlation of model residuals to 400 lags (400 days) for A) GLM with no random e...
<p>The x-axis gives the number of lags in weeks and, the y-axis, the value of the correlation coeffi...
<p>Grey dots represent the weekly-observed CDI cases within the teaching hospitals from April 2008 t...
Results from random effects model: A change in ADAS-cog is associated with variables in MCI patients...
Autocorrelation for a lag period of 20 days (x-axis) was first assessed without further adjustment (...
<p>A and B show ACF and PACF of the training set. C and D show ACF and PACF of the training set afte...
<p>Simulated data sets with known levels of temporal auto-correlation between residuals (spanning th...
a<p>p-value>0.05, otherwise p-value<0.05.</p><p>Top value is the Spearman correlation coefficient an...
<p>ACF=autocorrelation function, PACF=partial autocorrelation fuction. After taking a non-seasonal a...
<p>The pre-vaccination (1971–1993) and post-vaccination (1994–2012) autocorrelation coefficients are...
Studies on the rate of adverse events in hospitalized patients seldom examine temporal patterns. Thi...
<p>Grey dots represent the weekly-observed CDI cases within all hospitals from April 2008 to March 2...
Traces indicate the average temporal autocorrelation for spike count fluctuations in alert (blue) an...
Autocorrelation for a lag period of 20 days (x-axis) was first assessed without further adjustment (...
<p>A and B: autocorrelation function (ACF) of normalized residuals of the base-model fitted to data ...
<p>Plots show auto-correlation of model residuals to 400 lags (400 days) for A) GLM with no random e...
<p>The x-axis gives the number of lags in weeks and, the y-axis, the value of the correlation coeffi...
<p>Grey dots represent the weekly-observed CDI cases within the teaching hospitals from April 2008 t...
Results from random effects model: A change in ADAS-cog is associated with variables in MCI patients...
Autocorrelation for a lag period of 20 days (x-axis) was first assessed without further adjustment (...
<p>A and B show ACF and PACF of the training set. C and D show ACF and PACF of the training set afte...
<p>Simulated data sets with known levels of temporal auto-correlation between residuals (spanning th...
a<p>p-value>0.05, otherwise p-value<0.05.</p><p>Top value is the Spearman correlation coefficient an...
<p>ACF=autocorrelation function, PACF=partial autocorrelation fuction. After taking a non-seasonal a...
<p>The pre-vaccination (1971–1993) and post-vaccination (1994–2012) autocorrelation coefficients are...
Studies on the rate of adverse events in hospitalized patients seldom examine temporal patterns. Thi...
<p>Grey dots represent the weekly-observed CDI cases within all hospitals from April 2008 to March 2...
Traces indicate the average temporal autocorrelation for spike count fluctuations in alert (blue) an...
Autocorrelation for a lag period of 20 days (x-axis) was first assessed without further adjustment (...