The %ITEM macro computes descriptive statistics for analysis of data from a multiple-choice test. Each observation contains the answers from one subject to a set of questions ("items"). The data are compared to an answer key to determine which answers are correct. The score for each subject is computed as the number of correct answers. The output is very similar to that from the ITEM procedure in the SUGI Supplemental library, but several incorrect statistics have been fixed.
The %CumIncid macro for estimating and plotting cumulative incidence functions with competing risks is discussed.
This version of the CUMINCID macro applies only to SAS 9.1 which is available on the Downloads tab. For SAS 9.2 and later, refer to the Autocall macro library.
The CUMINCID macro computes the crude cumulative-incidence function estimates for homogeneous (no covariates) survival data whose endpoints are subjected to competing risks: see Kalbfleish and Prentice(1980). Standard errors and pointwise confidence limits are also computed. The estimated crude cumulative-incidence curve is displayed as a step function using ODS Graphics.
Produce a plot of the Receiver Operating Characteristic (ROC) curve associated with a fitted binary-response model. Label points on the ROC curve using statistic or input variable values. Identify optimal cutpoints on the ROC curve using several optimality criteria such as correct classification, efficiency, cost, and others. Plot optimality criteria against a selected variable.
Nonparametric comparison of areas under correlated ROC curves. Provides point and confidence interval estimates of each curve's area and of the pairwise differences among the areas. Tests of the pairwise differences are also given. Any contrast among the areas may be estimated and tested.
The %INTRACC macro calculates reliabilities for intraclass correlations. The macro calculates the six intraclass correlations discussed in Shrout and Fleiss (1979). Additionally it calculates two intraclass correlations using formulae from Winer (1971) which are identical to two of the six from Shrout and Fleiss. It also calculates the reliability of the mean of nrater ratings, where nrater is a parameter of the macro, using the Spearmen-Brown prophecy formula so that one can examine the effect obtaining more raters would have on the reliability of a mean.
People are being encouraged to find out more and have their say on a new agreement to deliver health and social care side by side across Staffordshire.
Staffordshire County Council and Staffordshire and Stoke-on-Trent Partnership Trust (SSOTP) have agreed a new contract to run from 2017 to 2020 and a public consultation on the proposals is now open.
Two SaS CCGs in list of those who have cut MH spending.
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A new text-messaging service that allows youngsters to get confidential health advice and support will launch in Shropshire next week.
‘ChatHealth’ is provided by Shropshire Community Health NHS Trust’s School Nursing Service and will go live on Monday (9 May). With more and more young people using hand-held mobile devices in their daily lives this is an easy way for them to access to services using technology that they are familiar and comfortable with.