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A00-211 SAS Base Programming for SAS (r) 9 | SAS Base Programming for SAS (r) 9 dump questions with Latest A00-211 practice tests |

SASInstitute A00-211 : SAS Base Programming for SAS (r) 9 Exam

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Exam Number : A00-211
Exam Name : SAS Base Programming for SAS (r) 9
Vendor Name : SASInstitute
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Exam ID : A00-211
Exam Name : SAS Base Programming for SAS (r) 9 (SASInstitute)
Questions : 40-45
Duration : 135 min.
Passing Scores : 725
Total Point Scores : 1000

Access data.
• Access SAS data sets with the SET statement.
• Use PROC IMPORT to access non-SAS data sources.
o Read delimited and Microsoft Excel (.xlsx) files with PROC IMPORT.
o Use PROC IMPORT statement options (OUT=, DBMS=, REPLACE)
o Use the GUESSINGROWS statement
• Use the SAS/ACCESS XLSX engine to read a Microsoft Excel workbook.xlsx file.

Combine SAS data sets.
• Concatenate data sets.
• Merge data sets one-to-one.
• Merge data sets one-to-many.
Create and manipulate SAS date values.
• Explain how SAS stores date and time values.
• Use SAS informats to read common date and time expressions.
• Use SAS date and time formats to specify how the values are displayed.
Control which observations and variables in a SAS data set are processed and output.
• Use the WHERE statement in the DATA step to select observations to be processed.
• Subset variables to be output by using the DROP and KEEP statements.
• Use the DROP= and KEEP= data set options to specify columns to be processed and/or output.

Sort observations in a SAS data set.
• Use the SORT Procedure to re-order observations in place or output to a new dataset.
• Remove duplicate observations with the SORT Procedure.
Conditionally execute SAS statements.
• Use IF-THEN/ELSE statements to process data conditionally.
• Use DO and END statements to execute multiple statements conditionally.
Use assignment statements in the DATA step.
• Create new variables and assign a value.
• Assign a new value to an existing variable.
• Assign the value of an expression to a variable.
• Assign a constant date value to a variable.
Modify variable attributes using options and statements in the DATA step.
• Change the names of variables by using the RENAME= data set option.
• Use LABEL and FORMAT statements to modify attributes in a DATA step.
• Define the length of a variable using the LENGTH statement.
Accumulate sub-totals and totals using DATA step statements.
• Use the BY statement to aggregate by subgroups.
• User first. and last. processing to identify where groups begin and end.
• Use the RETAIN and SUM statements.
Use SAS functions to manipulate character data, numeric data, and SAS date values.
• Use SAS functions such as SCAN, SUBSTR, TRIM, UPCASE, and LOWCASE to perform
tasks such as the tasks shown below.
o Replace the contents of a character value.
o Trim trailing blanks from a character value.
o Search a character value and extract a portion of the value.
o Convert a character value to upper or lowercase.
• Use SAS arithmetic, financial, and probability functions to create or modify numeric values by using the INT and ROUND functions.
• Create SAS date values by using the functions MDY, TODAY, DATE, and TIME.
• Extract the month, year, and interval from a SAS date value by using the functions YEAR, QTR, MONTH, and DAY.
• Perform calculations with date and datetime values and time intervals by using the functions INTCK, INTNX, DATDIF and YRDIF

Use SAS functions to convert character data to numeric and vice versa.
• Explain the automatic conversion that SAS uses to convert values between data types.
• Use the INPUT function to explicitly convert character data values to numeric values.
Process data using DO LOOPS.
• Explain how iterative DO loops function.
• Use DO loops to eliminate redundant code and to perform repetitive calculations.
• Use conditional DO loops.
• Use nested DO loops.
Restructure SAS data sets with PROC TRANSPOSE.
• Select variables to transpose with the VAR statement.
• Rename transposed variables with the ID statement.
• Process data within groups using the BY statement.
• Use PROC TRANSPOSE options (OUT=, PREFIX= and NAME=).
Use macro variables to simplify program maintenance.
• Create macro variables with the %LET statement
• Use macro variables within SAS programs.
Error Handling
Identify and resolve programming logic errors.
• Use the PUTLOG Statement in the Data Step to help identify logic errors.
• Use PUTLOG to write the value of a variable, formatted values, or to write values of all variables.
• Use PUTLOG with Conditional logic.
• Use temporary variables N and ERROR to debug a DATA step.
Recognize and correct syntax errors.
• Identify the characteristics of SAS statements.
• Define SAS syntax rules including the typical types of syntax errors such as misspelled keywords, unmatched quotation marks, missing semicolons, and invalid options.
• Use the log to help diagnose syntax errors in a given program.

Generate list reports using the PRINT procedure.
• Modify the default behavior of PROC PRINT by adding statements and options such as
o use the VAR statement to select and order variables.
o calculate totals with a SUM statement.
o select observations with a WHERE statement.
o use the ID statement to identify observations.
o use the BY statement to process groups.
Generate summary reports and frequency tables using base SAS procedures.
• Produce one-way and two-way frequency tables with the FREQ procedure.
• Enhance frequency tables with options (NLEVELS, ORDER=).
• Use PROC FREQ to validate data in a SAS data set.
• Calculate summary statistics and multilevel summaries using the MEANS procedure
• Enhance summary tables with options.
• Identify extreme and missing values with the UNIVARIATE procedure.
Enhance reports system user-defined formats, titles, footnotes and SAS System reporting options.
• Use PROC FORMAT to define custom formats.
o VALUE statement
o CNTLIN= option
• Use the LABEL statement to define descriptive column headings.
• Control the use of column headings with the LABEL and SPLIT=options in Proc Print output.
Generate reports using ODS statements.
• Identify the Output Delivery System destinations.
• Create HTML, PDF, RTF, and files with ODS statements.
• Use the STYLE=option to specify a style template.
• Create files that can be viewed in Microsoft Excel.
Export data
• Create a simple raw data file by using the EXPORT procedure as an alternative to the DATA step.
• Export data to Microsoft Excel using the SAS/ACCESS XLSX engine.

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Laminectomy plus Fusion versus Laminectomy on my own for Lumbar Spondylolisthesis | A00-211 PDF Dumps and Question Bank

study Design and Oversight

in this randomized, controlled trial, patients from 5 facilities had been assessed for eligibility right through the period from March 2002 through August 2009; the majority (fifty one patients) were enrolled at one web page (for details on the enrollment facts, see the Supplementary Appendix, attainable with the total textual content of this text at The basic effect measure, as unique in the last protocol (available at, changed into the exchange within the SF-36 actual-element abstract ranking at 2 years, youngsters the change at each 1 yr and 2 years become registered because the basic outcome measure in the initial protocol. The preliminary trial registration blanketed the rating on the Oswestry disability Index (ODI) as an additional basic result measure; however, the last trial protocol, which turned into organized in July 2006 (earlier than the completion of the trial or any analyses of trial records), unique the ODI score as a secondary result measure. The initial protocol additionally distinctive that comply with-up would proceed through 5 years; besides the fact that children, the evaluation changed into restricted to four-year comply with-up data as a result of funding boundaries and excessive dropout prices after four years of comply with-up. The look at plan referred to as for the enrollment of a hundred patients and the random task of at the least 64 patients, with funding to join about 40 sufferers in a parallel registry β€” an remark cohort for sufferers who declined to bear randomization.

statistics were managed on the Wallace scientific Trials middle in Greenwich, Connecticut. There turned into no trade funding or some other business involvement in the SLIP trial. The authors vouch for the accuracy and completeness of the statistics and analyses and for the fidelity of this record to the trial protocol. Institutional review board approval was acquired at all 5 taking part websites. Written suggested consent turned into received from all enrolled patients.


All patients with grade I lumbar spondylolisthesis (degree of spondylolisthesis, 3 to 14 mm) with lumbar stenosis and neurogenic claudication with or with out lumbar radiculopathy had been eligible for inclusion. sufferers were excluded if radiography printed lumbar instability (movement of >3 mm at the stage of listhesis, as measured on flexion–extension radiographs of the lumbar spine), if they had been judged through the enrolling surgeon to have lumbar instability as a result of a heritage of mechanical low again ache with axial loading of the backbone, if they had had old lumbar spinal surgical procedure, or if they had American Society of Anesthesiologists (ASA) classification IV or larger disorder (with courses starting from I to VI and higher classes indicating more extreme systemic ailment).

sufferers have been screened and enrolled via trial coordinators at each web page. A panel of 10 knowledgeable backbone surgeons turned into shaped to review a short clinical vignette plus four standardized radiographic and magnetic resonance photographs for every patient to check suitability for randomization. This novel approach perceived to raise affected person consent to bear randomization (see the Supplementary Appendix).8,9 Radiographic and magnetic resonance photographs from each and every patient were reviewed centrally by means of two neuroradiologists and one neurosurgeon to investigate degenerative lumbar canal stenosis with spondylolisthesis devoid of disk herniation. furthermore, impartial radiologic evaluate of postoperative computed tomographic scans demonstrated adherence to the look at protocol.


All sufferers underwent both decompression by myself (decompression-alone group) or decompression with posterolateral instrumented fusion (fusion community) at the single level of spondylolisthesis. Decompression turned into carried out through capability of an entire laminectomy with partial removal of the medial side joint.10,11 sufferers within the fusion neighborhood underwent a lumbar laminectomy as well as implantation of pedicle screws and titanium alloy rods across the level of listhesis, with a bone graft harvested from the iliac crest.12,13 The SLIP trial didn't consist of the use of bone morphogenetic protein, interbody gadgets, or minimally invasive techniques for the placement of percutaneous pedicle screws. the entire surgeons routinely performed both operations Tested in the trial; each and every of the surgeons had performed as a minimum 100 laminectomies and a hundred posterolateral fusions for lumbar spondylolisthesis earlier than joining the SLIP trial.

outcome Measures

The basic result measure was the alternate in the SF-36 actual-part abstract ranking at 2 years after surgery. The minimal clinically vital change, which become determined on the foundation of outdated reports, became prespecified to be 5 points.14,15 The secondary result measure turned into the change within the ailment-certain ODI ranking (latitude, 0 to a hundred, with larger rankings indicating extra disability involving returned ache).16 The minimal clinically important difference for the ODI became 10 elements.15,17,18 preliminary clinical assessments had been carried out all the way through activities outpatient visits at 1.5 months and 3 months through an independent analyze coordinator who changed into now not privy to the examine hypothesis. After 3 months, validated influence assessment equipment (SF-36 and ODI) have been mailed to each and every patient, who then completed and back them. A analyze coordinator attempted to contact patients as a minimum 3 times to enrich affected person retention. additional outcomes measures that had been prespecified in the protocol covered operative complications and reoperations. Reoperation changed into performed at the discretion of the surgeon; sufferers have been contacted annually through unbiased analyze coordinators for assessment of the results of reoperation. A prespecified medical institution charge evaluation changed into also described within the protocol, although it has not yet been conducted. despite the fact no longer explicitly described within the protocol, they accumulated and pronounced information on estimated blood loss, operative time, and size of dwell within the medical institution.

Statistical evaluation

The demo measurement became estimated on the groundwork of a old potential pilot analyze that changed into carried out by means of the predominant investigator in 2004.10 No statistics from the pilot examine had been protected in this file. They assumed a typical deviation of 10 for the alternate in SF-36 physical-component summary score and a ten% cost of loss to observe-up at 2 years. They estimated that with a pattern size of 64 patients (32 patients in each randomized group), the examine would have 80% vigour to notice a between-group difference of seven.5 facets within the degree of improvement in SF-36 actual-component abstract scores, at a two-sided significance stage of 0.05.

The approach for evaluation become developed after the trial became completed but earlier than the examination of the information (see the statistical analysis plan, which is accessible with the protocol). The baseline traits of the sufferers were compared between the corporations with the use of independent-sample t-exams for continuous variables, which are presented as capacity and normal deviations, and the chi-rectangular look at various or Fisher’s exact verify for express variables, which are introduced as numbers and percentages. Analyses of the primary result had been performed amongst all sufferers who had comply with-up assessments, in accordance with their common randomized medication assignments.

The between-community comparisons of alterations in SF-36 and ODI rankings from baseline had been made with the use of blended-consequences models for repeated measures. An unstructured covariance matrix become detailed to account for the within-patient correlations of again and again measured consequences. fastened effects for website, medication (decompression with fusion vs. decompression alone), time (1.5 months, 3 months, 6 months, 1 12 months, 2 years, three years, and four years after randomization), and time-by using-treatment interplay were blanketed and have been suggested as least-squares potential and 95% self assurance intervals. They computed the robust regular mistakes and check statistics involving the fixed results by specifying the EMPIRICAL alternative in the PROC mixed procedure (SAS Institute). Comparisons of least-squares capability between the medicine corporations at each time element and between time elements within each and every treatment group had been performed with using acceptable contrasts inside the mixed-effect fashions for repeated measures.19

We in comparison the percentage of sufferers in the two organizations who had a prespecified minimal clinically vital difference of 5 features in the SF-36 physical-element abstract score14,15 at 2 years by way of becoming a random-intercept logistic-regression mannequin the use of PROC GLIMMIX (SAS Institute), with adjustment made for a similar listing of fastened consequences. All analyses were performed with SAS application, edition 9.4 (SAS Institute).20

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