professional software for survey data analysis Search Results


software for survey data analysis  (SAS institute)
90
SAS institute software for survey data analysis
Software For Survey Data Analysis, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/software for survey data analysis/product/SAS institute
Average 90 stars, based on 1 article reviews
software for survey data analysis - by Bioz Stars, 2026-05
90/100 stars
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professional software for survey data analysis  (SAS institute)
90
SAS institute professional software for survey data analysis
Professional Software For Survey Data Analysis, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/professional software for survey data analysis/product/SAS institute
Average 90 stars, based on 1 article reviews
professional software for survey data analysis - by Bioz Stars, 2026-05
90/100 stars
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survey data analysis (sudaan) version 11.0 (sas-callable)  (SAS institute)
90
SAS institute survey data analysis (sudaan) version 11.0 (sas-callable)
Time trend of prevalence of smoking between 2001 and 2013 by gender and age groups. Note 1: Smoking was defined as having smoked 100 cigarettes or more and having smoked every day or occasionally during the past month. Note 2: Comparisons between surveys were adjusted using <t>SUDAAN.</t> Note 3: (+) indicates a statistically significant difference in the prevalence of smoking in the particular age group between the 4 surveys, § indicates a statistically significant difference between. 2001 and 2005, * indicates a statistically significant difference between 2005 and 2009, #indicates a statistically significant difference between 2009 and 2013, $indicates a statistically significant difference between 2005 and 2013
Survey Data Analysis (Sudaan) Version 11.0 (Sas Callable), supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/survey data analysis (sudaan) version 11.0 (sas-callable)/product/SAS institute
Average 90 stars, based on 1 article reviews
survey data analysis (sudaan) version 11.0 (sas-callable) - by Bioz Stars, 2026-05
90/100 stars
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professional graphics and data analysis software originpro 6.1  (OriginLab corp)
90
OriginLab corp professional graphics and data analysis software originpro 6.1
Time trend of prevalence of smoking between 2001 and 2013 by gender and age groups. Note 1: Smoking was defined as having smoked 100 cigarettes or more and having smoked every day or occasionally during the past month. Note 2: Comparisons between surveys were adjusted using <t>SUDAAN.</t> Note 3: (+) indicates a statistically significant difference in the prevalence of smoking in the particular age group between the 4 surveys, § indicates a statistically significant difference between. 2001 and 2005, * indicates a statistically significant difference between 2005 and 2009, #indicates a statistically significant difference between 2009 and 2013, $indicates a statistically significant difference between 2005 and 2013
Professional Graphics And Data Analysis Software Originpro 6.1, supplied by OriginLab corp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/professional graphics and data analysis software originpro 6.1/product/OriginLab corp
Average 90 stars, based on 1 article reviews
professional graphics and data analysis software originpro 6.1 - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier
professional data analysis software  (Optics11 Inc)
86
Optics11 Inc professional data analysis software
Time trend of prevalence of smoking between 2001 and 2013 by gender and age groups. Note 1: Smoking was defined as having smoked 100 cigarettes or more and having smoked every day or occasionally during the past month. Note 2: Comparisons between surveys were adjusted using <t>SUDAAN.</t> Note 3: (+) indicates a statistically significant difference in the prevalence of smoking in the particular age group between the 4 surveys, § indicates a statistically significant difference between. 2001 and 2005, * indicates a statistically significant difference between 2005 and 2009, #indicates a statistically significant difference between 2009 and 2013, $indicates a statistically significant difference between 2005 and 2013
Professional Data Analysis Software, supplied by Optics11 Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/professional data analysis software/product/Optics11 Inc
Average 86 stars, based on 1 article reviews
professional data analysis software - by Bioz Stars, 2026-05
86/100 stars
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Time trend of prevalence of smoking between 2001 and 2013 by gender and age groups. Note 1: Smoking was defined as having smoked 100 cigarettes or more and having smoked every day or occasionally during the past month. Note 2: Comparisons between surveys were adjusted using SUDAAN. Note 3: (+) indicates a statistically significant difference in the prevalence of smoking in the particular age group between the 4 surveys, § indicates a statistically significant difference between. 2001 and 2005, * indicates a statistically significant difference between 2005 and 2009, #indicates a statistically significant difference between 2009 and 2013, $indicates a statistically significant difference between 2005 and 2013

Journal: Population Health Metrics

Article Title: A population study on the time trend of cigarette smoking, cessation, and exposure to secondhand smoking from 2001 to 2013 in Taiwan

doi: 10.1186/s12963-016-0109-x

Figure Lengend Snippet: Time trend of prevalence of smoking between 2001 and 2013 by gender and age groups. Note 1: Smoking was defined as having smoked 100 cigarettes or more and having smoked every day or occasionally during the past month. Note 2: Comparisons between surveys were adjusted using SUDAAN. Note 3: (+) indicates a statistically significant difference in the prevalence of smoking in the particular age group between the 4 surveys, § indicates a statistically significant difference between. 2001 and 2005, * indicates a statistically significant difference between 2005 and 2009, #indicates a statistically significant difference between 2009 and 2013, $indicates a statistically significant difference between 2005 and 2013

Article Snippet: Due to the complex sampling design of the NHIS, we used SUrvey DAta ANalysis (SUDAAN) version 11.0 (SAS-Callable) to account for sampling weights and sampling scheme for all statistical testing and for the weighting of the sample to make it nationally representative.

Techniques:

Time trend of quit ratio in men between 2001 and 2013. Note 1: Cessation rate (quit ratio) is defined as ex-smokers/all those who have ever smoked 100 or more cigarettes. Note 2: Comparisons between surveys were adjusted using SUDAAN. Note 3: (+) indicates a statistically significant difference in the prevalence of smoking in the particular age group between the 4 surveys, § indicates a statistically significant difference between. 2001 and 2005, * indicates a statistically significant difference between 2005 and 2009, #indicates a statistically significant difference between 2009 and 2013, $indicates a statistically significant difference between 2005 and 2013

Journal: Population Health Metrics

Article Title: A population study on the time trend of cigarette smoking, cessation, and exposure to secondhand smoking from 2001 to 2013 in Taiwan

doi: 10.1186/s12963-016-0109-x

Figure Lengend Snippet: Time trend of quit ratio in men between 2001 and 2013. Note 1: Cessation rate (quit ratio) is defined as ex-smokers/all those who have ever smoked 100 or more cigarettes. Note 2: Comparisons between surveys were adjusted using SUDAAN. Note 3: (+) indicates a statistically significant difference in the prevalence of smoking in the particular age group between the 4 surveys, § indicates a statistically significant difference between. 2001 and 2005, * indicates a statistically significant difference between 2005 and 2009, #indicates a statistically significant difference between 2009 and 2013, $indicates a statistically significant difference between 2005 and 2013

Article Snippet: Due to the complex sampling design of the NHIS, we used SUrvey DAta ANalysis (SUDAAN) version 11.0 (SAS-Callable) to account for sampling weights and sampling scheme for all statistical testing and for the weighting of the sample to make it nationally representative.

Techniques:

Time trend of exposure to secondhand smoke among non-smokers between 2005 and 2013 by gender and age groups. Note 1: * Were those answering yes to the question ‘has been exposed to secondhand smoke last week’. Note 2: + indicates a statistically significant difference between the rate of exposure to secondhand smoke in 2005 compared to 2009 ( P < 0.05), # indicates a statistically significant difference between 2009 and 2013 ( P < 0.05). Note 3: Comparisons between surveys were adjusted using SUDAAN

Journal: Population Health Metrics

Article Title: A population study on the time trend of cigarette smoking, cessation, and exposure to secondhand smoking from 2001 to 2013 in Taiwan

doi: 10.1186/s12963-016-0109-x

Figure Lengend Snippet: Time trend of exposure to secondhand smoke among non-smokers between 2005 and 2013 by gender and age groups. Note 1: * Were those answering yes to the question ‘has been exposed to secondhand smoke last week’. Note 2: + indicates a statistically significant difference between the rate of exposure to secondhand smoke in 2005 compared to 2009 ( P < 0.05), # indicates a statistically significant difference between 2009 and 2013 ( P < 0.05). Note 3: Comparisons between surveys were adjusted using SUDAAN

Article Snippet: Due to the complex sampling design of the NHIS, we used SUrvey DAta ANalysis (SUDAAN) version 11.0 (SAS-Callable) to account for sampling weights and sampling scheme for all statistical testing and for the weighting of the sample to make it nationally representative.

Techniques: