Log In Sign up
The largest database of trusted experimental protocols

Sas sas 9.2

Manufactured by SAS Institute
Visit Supplier
Sourced in United States

SAS 9.2 is a comprehensive software suite for advanced analytics, business intelligence, and data management. It provides a robust and flexible platform for data processing, statistical analysis, and reporting. The core function of SAS 9.2 is to enable users to efficiently and effectively analyze and interpret data, make informed decisions, and gain valuable insights.

Automatically generated - may contain errors

Lab products found in correlation

Close spelling variants of this product

SAS versions 9.2 and 9.3 SAS version 9.2 for Windows 7 SAS 9.2 software for Windows SAS version 9.2 or higher SAS 9.2 for Windows PC-SAS (Version 9.2) SAS 9.2 software for windows XP SAS 9.2 Institute SAS Software, version 9.2 of the SAS software for Windows SAS v. 9.2 or higher

4 protocols using sas sas 9.2

1

Acute Stroke Epidemiology in Germany

Cited 1 time
Check if the same lab product or an alternative is used in the 5 most similar protocols
The Research Data Centers of the Federal Statistical Office and the Statistical Offices of the Laender (Statistisches Bundesamt, DESTATIS; destatis.de) provided data for the years 2014–2019 for analysis with respect to risk factors, in-hospital outcomes, and time trends related to acute stroke. The database contains all in‐patient treated patients on a case base per year, except for treatments in psychiatric or psychosomatic units.15 (link) We excluded medical care provided by office-based specialists with special admitting. Because of data privacy protection, all subgroups less than 6 cases were excluded from the analysis. There was only remote access to the anonymized original data. A statistical analysis program written in SAS (SAS 9.2: SAS Institute Inc., Cary, NC, USA) was executed by the Research Data Center.
Kelly D.M., Feld J., Rothwell P.M., Reinecke H, & Koeppe J. (2022). Admission Rates, Time Trends, Risk Factors, and Outcomes of Ischemic and Hemorrhagic Stroke From German Nationwide Data. Neurology, 99(23), e2593-e2604.
+ Open protocol
+ Expand
2

Evaluating Pre-Pregnancy Risk Factors and Pregnancy Outcomes

Check if the same lab product or an alternative is used in the 5 most similar protocols
The relation between pre-pregnancy risk factors and subsequent pregnancy outcome was assessed using multiple linear (for continuous outcomes) and logistic (for dichotomous outcomes) regression. Predictors were examined as continuous variables as well as divided into tertiles (tertiles were chosen as providing some indication of shape of trend but providing sufficient numbers in each category). Results were similar, so the tertiles are provided for ease of presentation (alternate specifications in supplementary material). For the birthweight and gestational age data, an additional analysis was run, removing those who experienced hypertensive disorders or gestational diabetes.
Median time between the FMD measure and the pregnancy was 2 years. Models were run assessing interaction with this time gap, to see if measurements taken closer to the pregnancy were more strongly related to the outcome.
Multiple imputation using PROC MI and PROC MIANALYZE in SAS (SAS 9.2, Cary, NC) was used to impute missing covariate data in the final adjusted models. Socioeconomic status was the variable missing most commonly. All p-values are two-sided.
The original study was approved by the local ethics committees. The data linkage and analysis were approved by the Medical Birth Register and the Institutional Review Board of Tulane University.
Harville E.W., Juonala M., Viikari J.S., Kähönen M, & Raitakari O.T. (2016). Vascular ultrasound measures before pregnancy and pregnancy complications: A prospective cohort study. Hypertension in pregnancy, 36(1), 53-58.
+ Open protocol
+ Expand
3

Implant Volume and Density Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
All the results are presented as means ± SD. Mixed model for repeated measurements was applied to the implant volume and density data (SAS 9.2 SAS Institute Inc., Cary, NC, USA). P values < 0.05 were considered as statistically significant.
Koskimäki J., Tarkia M., Ahtola-Sätilä T., Saloranta L., Simola O., Forsback A.P., Laakso A, & Frantzén J. (2015). Intracranial Biodegradable Silica-Based Nimodipine Drug Release Implant for Treating Vasospasm in Subarachnoid Hemorrhage in an Experimental Healthy Pig and Dog Model. BioMed Research International, 2015, 715752.
+ Open protocol
+ Expand
4

Analyzing Skewed Data with ANOVA

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were expressed as mean ± SEM and multiple groups were compared using repeated-measures ANOVA plus Tukey’s test (SAS 9.2 SAS Institute Inc., Cary, NC, USA). In case of skewed values, the data were logarithmically transformed to normalize their distribution. p values ≤ 0.05 were considered statistically significant.
Xu C., Liu J., Gao J., Wu X., Cui C., Wei H., Zheng R, & Peng J. (2020). Combined Soluble Fiber-Mediated Intestinal Microbiota Improve Insulin Sensitivity of Obese Mice. Nutrients, 12(2), 351.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!