The Experts below are selected from a list of 288 Experts worldwide ranked by ideXlab platform
Housila P Singh - One of the best experts on this subject based on the ideXlab platform.
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estimation of population variance using known coefficient of variation of an auxiliary variable in Sample Surveys
Journal of Statistics and Management Systems, 2017Co-Authors: Housila P SinghAbstract:AbstractThis paper addresses the problem of estimating the population variance of the study variable y using information on coefficient of variation Cx of an auxiliary variable x. We have suggested a class of estimators for the population variance. Expressions of bias and mean squared error of the proposed class of estimators are obtained under large Sample approximation. It is identified that the usual unbiased estimator and Das and Tripathi’s (1978) estimators are members of the suggested class of estimators. It has been shown that proposed class of estimators is more efficient than usual unbiased estimator and Das and Tripathi’s (1978) estimators. An empirical study is given in support of the present study.
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a generalized family of transformed ratio product estimators for variance in Sample Surveys
Communications in Statistics-theory and Methods, 2013Co-Authors: Rohini Yadav, Housila P Singh, Lakshmi N Upadhyaya, S ChatterjeeAbstract:This article advocates the problem of estimating the population variance of the study variable y using information on certain known parameters of the auxiliary variable x. A family of ratio-product-type estimators for population variance of the study variable y is defined. In addition to many estimators, usual unbiased estimator , Isaki (1983), Upadhyaya and Singh (1999) estimators, and Kadilar and Cingi (2006) estimators are shown as members of the proposed class of estimators. Asymptotic expressions for bias and mean squared error of the proposed class of estimators have been obtained. An empirical study is carried out to show the performance of the various estimators of generated from the proposed class of estimators over usual unbiased estimator .
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an alternative estimator for estimating the finite population mean using auxiliary information in Sample Surveys
International Scholarly Research Notices, 2012Co-Authors: Ramkrishna S Solanki, Housila P Singh, Anjana RathourAbstract:This paper suggests a class of estimators for estimating the finite population mean
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estimation of mean ratio and product using auxiliary information in the presence of measurement errors in Sample Surveys
Journal of statistical theory and practice, 2010Co-Authors: Housila P Singh, Namrata KarpeAbstract:Abstract For estimating the mean, ratio and product we have considered the estimation of general parameter R(α)(= μ Y0/μ(α) Y1,μ Y1 ≠ 0) using the information on an auxiliary variable X whose population mean μ X is assumed to be known, in the presence of measurement errors, where μ Y0 and μ Y1 are the population means of the study variables Y 0 and Y 1 respectively; α being a scalar takes values, 1 (for population ratio R = μ Y0/μ Y1) −1 (for population product P = μ Y0μ Y1), and 0 (for population mean μ Y0). A class of estimators for estimating the general parameter R (α) has been defined and asymptotic expressions for its bias and mean squared error (MSE) have been obtained. A comparative study has been made among the proposed estimators and the conventional estimators Numerical illustration is given in support of the present study.
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on ratio and product methods with certain known population parameters of auxiliary variable in Sample Surveys
Sort-statistics and Operations Research Transactions, 2010Co-Authors: Housila P Singh, Ritesh TailorAbstract:This paper proposes two ratio and product-type estimators using transformation based on known minimum and maximum values of auxiliary variable. The biases and mean squared errors of the suggested estimators are obtained under large Sample approximation. Conditions are obtained under which the suggested estimators are superior to the conventional unbiased estimator, usual ratio and product estimators of population mean. The superiority of the proposed estimators are also established through some natural population data sets.
Anne M. Johnson - One of the best experts on this subject based on the ideXlab platform.
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men who have sex with men in great britain comparing methods and estimates from probability and convenience Sample Surveys
Sexually Transmitted Infections, 2016Co-Authors: Philip Prah, Lisa M Mcdaid, Soazig Clifton, Anne M. Johnson, Ford Hickson, Pam Sonnenberg, Chris Bonell, Antonio Nardone, Sonali Wayal, B.o.b. ErensAbstract:OBJECTIVE: To examine sociodemographic and behavioural differences between men who have sex with men (MSM) participating in recent UK convenience Surveys and a national probability Sample survey. METHODS: We compared 148 MSM aged 18-64 years interviewed for Britain's third National Survey of Sexual Attitudes and Lifestyles (Natsal-3) undertaken in 2010-2012, with men in the same age range participating in contemporaneous convenience Surveys of MSM: 15 500 British resident men in the European MSM Internet Survey (EMIS); 797 in the London Gay Men's Sexual Health Survey; and 1234 in Scotland's Gay Men's Sexual Health Survey. Analyses compared men reporting at least one male sexual partner (past year) on similarly worded questions and multivariable analyses accounted for sociodemographic differences between the Surveys. RESULTS: MSM in convenience Surveys were younger and better educated than MSM in Natsal-3, and a larger proportion identified as gay (85%-95% vs 62%). Partner numbers were higher and same-sex anal sex more common in convenience Surveys. Unprotected anal intercourse was more commonly reported in EMIS. Compared with Natsal-3, MSM in convenience Surveys were more likely to report gonorrhoea diagnoses and HIV testing (both past year). Differences between the Samples were reduced when restricting analysis to gay-identifying MSM. CONCLUSIONS: National probability Surveys better reflect the population of MSM but are limited by their smaller Samples of MSM. Convenience Surveys recruit larger Samples of MSM but tend to over-represent MSM identifying as gay and reporting more sexual risk behaviours. Because both sampling strategies have strengths and weaknesses, methods are needed to triangulate data from probability and convenience Surveys.
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Men who have sex with men in Great Britain: comparing methods and estimates from probability and convenience Sample Surveys
Sexually Transmitted Infections, 2016Co-Authors: Philip Prah, Lisa M Mcdaid, Soazig Clifton, Anne M. Johnson, Ford Hickson, Pam Sonnenberg, Chris Bonell, Antonio Nardone, Sonali Wayal, B.o.b. ErensAbstract:ObjectiveTo examine sociodemographic and behavioural differences between men who have sex with men (MSM) participating in recent UK convenience Surveys and a national probability Sample survey. MethodsWe compared 148 MSM aged 18-64 years interviewed for Britain's third National Survey of Sexual Attitudes and Lifestyles (Natsal-3) undertaken in 2010-2012, with men in the same age range participating in contemporaneous convenience Surveys of MSM: 15 500 British resident men in the European MSM Internet Survey (EMIS); 797 in the London Gay Men's Sexual Health Survey; and 1234 in Scotland's Gay Men's Sexual Health Survey. Analyses compared men reporting at least one male sexual partner (past year) on similarly worded questions and multivariable analyses accounted for sociodemographic differences between the Surveys. ResultsMSM in convenience Surveys were younger and better educated than MSM in Natsal-3, and a larger proportion identified as gay (85%-95% vs 62%). Partner numbers were higher and same-sex anal sex more common in convenience Surveys. Unprotected anal intercourse was more commonly reported in EMIS. Compared with Natsal-3, MSM in convenience Surveys were more likely to report gonorrhoea diagnoses and HIV testing (both past year). Differences between the Samples were reduced when restricting analysis to gay-identifying MSM. ConclusionsNational probability Surveys better reflect the population of MSM but are limited by their smaller Samples of MSM. Convenience Surveys recruit larger Samples of MSM but tend to over-represent MSM identifying as gay and reporting more sexual risk behaviours. Because both sampling strategies have strengths and weaknesses, methods are needed to triangulate data from probability and convenience Surveys.
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who uses condoms with whom evidence from national probability Sample Surveys
Sexually Transmitted Infections, 2006Co-Authors: Jackie Cassell, Catherine H Mercer, John Imrie, Andrew Copas, Anne M. JohnsonAbstract:OBJECTIVES: To explore the changing pattern of condom use from 1990 to 2000; to identify sociodemographic and behavioural factors associated with condom use; and reasons for condom use in 2000. METHODS: Large probability Sample Surveys administered among those resident in Britain aged 16-44 (n = 13 765 in 1990, n = 11 161 in 2000). Face to face interviews with self completion components collected sociodemographic, behavioural, and attitudinal data. RESULTS: Condom use in the past year among sexually active 16-24 year old men increased from 61.0% in 1990 to 82.1% in 2000 (p<0.0001), and from 42.0% to 63.2% (p<0.0001) among women of the same age, with smaller increases among older age groups. Among individuals reporting at least two partners in the previous 4 week period, approximately two thirds reported inconsistent or no condom use (63.1% (95% CI 55.9% to 69.8%) of the men and 68.5% (95% CI 57.6% to 77.7%) of the women). CONCLUSIONS: Rates of condom use increased substantially between 1990 and 2000, particularly among young people. However, inconsistent condom use by individuals with high rates of partner acquisition may contribute significantly to the recent resurgence in STIs. This group is an important target for intensive and specific sexual health interventions.
B.o.b. Erens - One of the best experts on this subject based on the ideXlab platform.
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men who have sex with men in great britain comparing methods and estimates from probability and convenience Sample Surveys
Sexually Transmitted Infections, 2016Co-Authors: Philip Prah, Lisa M Mcdaid, Soazig Clifton, Anne M. Johnson, Ford Hickson, Pam Sonnenberg, Chris Bonell, Antonio Nardone, Sonali Wayal, B.o.b. ErensAbstract:OBJECTIVE: To examine sociodemographic and behavioural differences between men who have sex with men (MSM) participating in recent UK convenience Surveys and a national probability Sample survey. METHODS: We compared 148 MSM aged 18-64 years interviewed for Britain's third National Survey of Sexual Attitudes and Lifestyles (Natsal-3) undertaken in 2010-2012, with men in the same age range participating in contemporaneous convenience Surveys of MSM: 15 500 British resident men in the European MSM Internet Survey (EMIS); 797 in the London Gay Men's Sexual Health Survey; and 1234 in Scotland's Gay Men's Sexual Health Survey. Analyses compared men reporting at least one male sexual partner (past year) on similarly worded questions and multivariable analyses accounted for sociodemographic differences between the Surveys. RESULTS: MSM in convenience Surveys were younger and better educated than MSM in Natsal-3, and a larger proportion identified as gay (85%-95% vs 62%). Partner numbers were higher and same-sex anal sex more common in convenience Surveys. Unprotected anal intercourse was more commonly reported in EMIS. Compared with Natsal-3, MSM in convenience Surveys were more likely to report gonorrhoea diagnoses and HIV testing (both past year). Differences between the Samples were reduced when restricting analysis to gay-identifying MSM. CONCLUSIONS: National probability Surveys better reflect the population of MSM but are limited by their smaller Samples of MSM. Convenience Surveys recruit larger Samples of MSM but tend to over-represent MSM identifying as gay and reporting more sexual risk behaviours. Because both sampling strategies have strengths and weaknesses, methods are needed to triangulate data from probability and convenience Surveys.
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Men who have sex with men in Great Britain: comparing methods and estimates from probability and convenience Sample Surveys
Sexually Transmitted Infections, 2016Co-Authors: Philip Prah, Lisa M Mcdaid, Soazig Clifton, Anne M. Johnson, Ford Hickson, Pam Sonnenberg, Chris Bonell, Antonio Nardone, Sonali Wayal, B.o.b. ErensAbstract:ObjectiveTo examine sociodemographic and behavioural differences between men who have sex with men (MSM) participating in recent UK convenience Surveys and a national probability Sample survey. MethodsWe compared 148 MSM aged 18-64 years interviewed for Britain's third National Survey of Sexual Attitudes and Lifestyles (Natsal-3) undertaken in 2010-2012, with men in the same age range participating in contemporaneous convenience Surveys of MSM: 15 500 British resident men in the European MSM Internet Survey (EMIS); 797 in the London Gay Men's Sexual Health Survey; and 1234 in Scotland's Gay Men's Sexual Health Survey. Analyses compared men reporting at least one male sexual partner (past year) on similarly worded questions and multivariable analyses accounted for sociodemographic differences between the Surveys. ResultsMSM in convenience Surveys were younger and better educated than MSM in Natsal-3, and a larger proportion identified as gay (85%-95% vs 62%). Partner numbers were higher and same-sex anal sex more common in convenience Surveys. Unprotected anal intercourse was more commonly reported in EMIS. Compared with Natsal-3, MSM in convenience Surveys were more likely to report gonorrhoea diagnoses and HIV testing (both past year). Differences between the Samples were reduced when restricting analysis to gay-identifying MSM. ConclusionsNational probability Surveys better reflect the population of MSM but are limited by their smaller Samples of MSM. Convenience Surveys recruit larger Samples of MSM but tend to over-represent MSM identifying as gay and reporting more sexual risk behaviours. Because both sampling strategies have strengths and weaknesses, methods are needed to triangulate data from probability and convenience Surveys.
Benjamin S. Bradshaw - One of the best experts on this subject based on the ideXlab platform.
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Estimates of Survival of Diabetics from Repeated, Independent Sample Surveys
Population Research and Policy Review, 2013Co-Authors: David W. Smith, Benjamin S. BradshawAbstract:Little is known about death rates among diabetic populations. The few prior estimates have used two data systems, usually a registry or a survey to identify diabetics and death certificates to identify deaths. In this research, the diabetic population aged 18–94 in 1996–1998 and those surviving in 2001–2003 were estimated from repeated cross-sectional Surveys, the Behavioral Risk Factor Surveillance System of the Centers for Disease Control and Prevention. Forward survival ratios were computed using a method developed for successive censuses and these were used to compute death rates. Nonlinear regression models for age-sex specific survival ratios were used to estimate parametric rates and thereby increase the accuracy of estimates. About 81.4 % (SE = 1.3 %) of diabetics survived 5 years, for an annual death rate of 41.1 per thousand (SE = 3.2). Among men survival was 84.7 % (SE = 2.1 %) with an annual death rate of 33.8 (SE = 4.9) per thousand; among women survival was 78.5 % (SE = 2.2 %) with an annual death rate of 48.1 (SE = 4.1) per thousand. Model estimates of mortality rates showed an odds ratio of 3.17 (95 % CI 2.64, 3.82) for each 10 year age interval and of 1.35 (95 % CI 1.02, 1.79) for women compared with men. Pooled annual Samples, longer time intervals for survival, and parametric estimates of rates all help overcome the small numbers and large sampling variation of survey estimates of survival and mortality. Useful estimates of survival rates can be made from a single data system, a Sample survey of the general population. This can be done for any condition where a respondent’s status at the earlier survey time is obtained at the later survey time. It could also be used to make estimates from periodic Surveys for nations with limited information systems.
Philip Prah - One of the best experts on this subject based on the ideXlab platform.
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men who have sex with men in great britain comparing methods and estimates from probability and convenience Sample Surveys
Sexually Transmitted Infections, 2016Co-Authors: Philip Prah, Lisa M Mcdaid, Soazig Clifton, Anne M. Johnson, Ford Hickson, Pam Sonnenberg, Chris Bonell, Antonio Nardone, Sonali Wayal, B.o.b. ErensAbstract:OBJECTIVE: To examine sociodemographic and behavioural differences between men who have sex with men (MSM) participating in recent UK convenience Surveys and a national probability Sample survey. METHODS: We compared 148 MSM aged 18-64 years interviewed for Britain's third National Survey of Sexual Attitudes and Lifestyles (Natsal-3) undertaken in 2010-2012, with men in the same age range participating in contemporaneous convenience Surveys of MSM: 15 500 British resident men in the European MSM Internet Survey (EMIS); 797 in the London Gay Men's Sexual Health Survey; and 1234 in Scotland's Gay Men's Sexual Health Survey. Analyses compared men reporting at least one male sexual partner (past year) on similarly worded questions and multivariable analyses accounted for sociodemographic differences between the Surveys. RESULTS: MSM in convenience Surveys were younger and better educated than MSM in Natsal-3, and a larger proportion identified as gay (85%-95% vs 62%). Partner numbers were higher and same-sex anal sex more common in convenience Surveys. Unprotected anal intercourse was more commonly reported in EMIS. Compared with Natsal-3, MSM in convenience Surveys were more likely to report gonorrhoea diagnoses and HIV testing (both past year). Differences between the Samples were reduced when restricting analysis to gay-identifying MSM. CONCLUSIONS: National probability Surveys better reflect the population of MSM but are limited by their smaller Samples of MSM. Convenience Surveys recruit larger Samples of MSM but tend to over-represent MSM identifying as gay and reporting more sexual risk behaviours. Because both sampling strategies have strengths and weaknesses, methods are needed to triangulate data from probability and convenience Surveys.
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Men who have sex with men in Great Britain: comparing methods and estimates from probability and convenience Sample Surveys
Sexually Transmitted Infections, 2016Co-Authors: Philip Prah, Lisa M Mcdaid, Soazig Clifton, Anne M. Johnson, Ford Hickson, Pam Sonnenberg, Chris Bonell, Antonio Nardone, Sonali Wayal, B.o.b. ErensAbstract:ObjectiveTo examine sociodemographic and behavioural differences between men who have sex with men (MSM) participating in recent UK convenience Surveys and a national probability Sample survey. MethodsWe compared 148 MSM aged 18-64 years interviewed for Britain's third National Survey of Sexual Attitudes and Lifestyles (Natsal-3) undertaken in 2010-2012, with men in the same age range participating in contemporaneous convenience Surveys of MSM: 15 500 British resident men in the European MSM Internet Survey (EMIS); 797 in the London Gay Men's Sexual Health Survey; and 1234 in Scotland's Gay Men's Sexual Health Survey. Analyses compared men reporting at least one male sexual partner (past year) on similarly worded questions and multivariable analyses accounted for sociodemographic differences between the Surveys. ResultsMSM in convenience Surveys were younger and better educated than MSM in Natsal-3, and a larger proportion identified as gay (85%-95% vs 62%). Partner numbers were higher and same-sex anal sex more common in convenience Surveys. Unprotected anal intercourse was more commonly reported in EMIS. Compared with Natsal-3, MSM in convenience Surveys were more likely to report gonorrhoea diagnoses and HIV testing (both past year). Differences between the Samples were reduced when restricting analysis to gay-identifying MSM. ConclusionsNational probability Surveys better reflect the population of MSM but are limited by their smaller Samples of MSM. Convenience Surveys recruit larger Samples of MSM but tend to over-represent MSM identifying as gay and reporting more sexual risk behaviours. Because both sampling strategies have strengths and weaknesses, methods are needed to triangulate data from probability and convenience Surveys.