Answer: Quartiles, and similar break-points of any size (quintiles, deciles, etc.) can be calculated using PROC UNIVARIATE.

Answer: You can conduct multiple regression analysis on NHANES using SAS Survey Procedures. However, you need to be mindful that version 9.1 of SAS Survey Procedures does not have a domain statement for subpopulation analyses. Therefore, you have to use a macro provided on the SAS website. You need to download that file, save it to your computer, and make sure to note the location, as you will use SAS code to refer to this file later. In SAS version 9.

Proc setinit; tells you what you have currently valid licenses and site number, and defined products in your session. There are several ways to do it. If your START TIME and END TIME are SAS time values, you can easily create "startmin" variable using "starttime" divided by 60 and create "endmin" variable using "endtime" divided by 60, and then create your time serial data. Otherwise, you can just use duration time variable to do it.

The School for Advanced Studies (SAS) Program uses instructional strategies and learning experiences for highly able learners. Course content is rich in resource materials and is modified to match the student's achievement level or capacity for learning. In grades 1-5, high achieving students are clustered throughout each classroom at the school.

Answer: The Continuous NHANES files are in SAS transport file format (.xpt). They can be used with any package that supports this file format. For statistical/analytical packages that do not support SAS transport file format, you need to convert the file to a different format using an appropriate software package.

Answer: For SUDAAN procedures it is important that you do not create a smaller subgroup based on any non weight-related groups of interest (e.g. demographic, laboratory or examination variables) in the SAS data step before executing the SUDAAN procedure. Instead, it is highly recommended that you create a subset of your sample population using the subpopn statement in the SUDAAN procedure itself and not in the SAS data step.

Answer: Both SAS Survey procedures (proc surveymeans) and SUDAAN version 9.1 (proc descript) produce 95% confidence intervals (CI). These 95% CIs are calculated using the Wald method, which is based on a t-statistic for the number of degrees of freedom in the entire NHANES sample. However, they do not correct for the reduction in the degrees of freedom in subdomains where not all strata and PSUs are represented.

Answer: Yes. Dummy variables are created for any PROC that contains a CLASS statement, though they are internal variables, not saved to any SAS data set for further use. If your goal is to have dummy variables created that you can use later, this can be done with PROC GLMMOD, which is documented in the SAS/STAT User's Guide. Answer: Yes. and No. SAS data sets created in SAS for Windows can be used in SAS for Macintosh, as long as they were created with the v612 (or earlier) engine.

Answer: Actually, both "nested" and "multinomial" can mean more than one thing in the context of logistic models. Most likely, PROC LOGISTIC in SAS/STAT, or PROC MDC in SAS/ETS are the PROCs that will do what is required. PROC CATMOD is also a possibility, but only in fitting the same model that LOGISTIC would. PROC MDC is the more likely choice, especially if the research involves econometrics or market research.

Ultra320 SCSI has been released allowing for a 320MB/sec data transfer rate. The SCSI specifications allow for the future release of Ultra640 as well doubling the transfer rate again. Ultra 640 is however will not eventuate due to issues with "data skewing" and the release of Serial Attached SCSI. The release of Serial Attached SCSI (SAS) overcomes the problem of "skewing" of parallel data bits on the cable by running all communications via a Serial interface.

Click “Save” If you indicate that a Task should be done just once, it will show up as a circle in the Task Chart. When your child checks off a “once” Task, it will remain crossed out until you click “Reset” next to that Task in your Task Chart. [back to top]

SAS use a variety of campaign tactics to influence decision makers in creating recreational waters free from pollution. We carry out peaceful, but hard-hitting actions to generate campaign momentum, use supportive politicians to help us in the corridors of power, and need the likes of YOU to build on that support by signing campaign postcards or writing letters.

SAS are a non-profit making organisation campaigning for cleaner, safer recreational water. We receive no government support and SAS funds come from individual membership subscriptions, the selling of SAS merchandise, SAS fundraising events such as the SAS Ball and sponsorship from companies looking to put back some of their profits into environmentally friendly initiatives. In addition to these, many SAS members organise their own events and donate the proceeds.

Firstly, become an SAS member! This provides us with much-needed funds and the more members we have, the bigger voice we have to lobby for change. Click here to JOIN Let us know of any pollution problems in your area. We rely heavily on being kept informed by our members around the country. The sooner we know about a problem, the more SAS will be able to help. Volunteer your time. Most of the help we need is based at our St Agnes office, but we also need help at some of our actions.

Answer: At the present time, SAS proc surveymeans does not have an option to produce geometric means and their standard errors. However, they can be obtained by running proc surveymeans on the log transformed variables to produce means and standard errors of the log transformed variable, constructing the confidence interval on the log-transformed scale, and then back transforming the endpoints.

Answer: SAS performs the Cochran-Armitage test for Trend by using PROC FREQ with the TREND option on the TABLES statement. Another possible test is the Jonckheere-Terpstra test, which is available in the TABLES statement of PROC FREQ (the option is spelled JT).

Answer: Well, sort of. SAS/ACCESS under UNIX can create dBase (*.dbf) files, and those can be used in Excel (Windows). PROC EXPORT DATA=MYDATA OUTFILE="myfile.dbf" DBMS=DBF; RUN; This creates the file "myfile.dbf" which you can then FTP (binary) to Windows and call into Excel. Question: Can SAS compare multiple Kappa values statistically? (i.e., if one generates more than one Kappa statistic, can SAS tell whether they are statistically different?) Answer: Yes.

the upper quartile (Q3) is the ¼(3n+1)th observation When ¼(n+3), ½(n+1) and ¼(3n+1) are not integers, linear interpolation is used. This is Method 1 of Freund, J and Perles, B (1987) "A New Look at Quartiles of Ungrouped Data", The American Statistician, 41, 3, 200-203.

Answer: On the electronic version of the survey only, you will need to select either "Wipe-FO" for units of fluid ounces, or "Wipe-WO" for weight ounces. Question: The database gives me an error message that I have a "blank field" and it won't let me exit the form. Answer: Go to the blank field blank field indicated in the error message and check if there is a blank line in the data. If there is, highlight the whole line by clicking to the far left of the line.

Answer: PROC TSCSREG offers single equation fixed and random effects models for panel data for continuous dependent variable. However, please see the discussion in the TSCSREG chapter of the SAS/ETS Users Guide (in the SAS OnlineDoc, Version Eight or Nine) on fixed and random effects model. Some users think of using PROC LOGISTIC, but this is not correct. PROC LOGISTIC estimates only FIXED effects models.