Correspondence between weighted and unweighted estimates of descriptive parameters and regression coefficients in the 2010 SDR and the 2010 NSCG (including a dashed 45-degree line representing perfect correspondence).

Correlation estimates describing the relationship between the different model-based estimates.

Nitzan Shahar (709751)
Tobias U. Hauser (705683)
Michael Moutoussis (2889665)
Rani Moran (3315630)
Mehdi Keramati (350780)
Raymond J. Dolan (209991)

February 2019

Correlation estimates describing the relationship between the different model-based estimates.</p

Nonparametric spearman correlations among variables used in the study (N = 398).

Monika K. Sumra (713719)

April 2019

Nonparametric spearman correlations among variables used in the study (N = 398).</p

A clear correlation between the difference and the mean magnitude can be noticed for both groups.

Vlad A. Bratu (541992)
Veit J. Erpenbeck (66742)
Antonia Fehrenbach (42389)
Tanja Rausch (541993)
Susanne Rittinghausen (129639)
Norbert Krug (66745)
Jens M. Hohlfeld (66744)
Heinz Fehrenbach (512465)

March 2014

Dashed line y = 0 represents the line of equality, which stands for perfect agreement. (a) Regres...

Correspondence between estimated standard errors (SE) for 2010 SDR and 2010 NSCG estimates based on the replicate weights, which fully account for the complex sampling features, and linearized (TSL) standard errors based on the final survey weights only (including a dashed 45-degree line representing perfect correspondence).

Brady T. West (3161931)
Joseph W. Sakshaug (554425)
Guy Alain S. Aurelien (3161928)

June 2016

Correspondence between estimated standard errors (SE) for 2010 SDR and 2010 NSCG estimates based ...

Fitting parameters for the regression lines calculated for given time periods together with the significance levels for the comparison of the regression and b coefficients.

Szymon Ciapała (790558)
Paweł Adamski (790559)

September 2015

Fitting parameters for the regression lines calculated for given time periods together with the s...

Descriptive statistics of the variables used in the regression models (N = 47).

Yacob A. Zereyesus (4233463)
Timothy J. Dalton (4233466)

July 2017

Descriptive statistics of the variables used in the regression models (N = 47).</p

Descriptive statistics and unstandardized regression coefficients for Study 2.

Julia Meis (4401043)
Yoshihisa Kashima (709757)

August 2017

Descriptive statistics and unstandardized regression coefficients for Study 2.</p

Unweighted descriptive statistics for key study variables and their comparison between Phase 1 and Phase 2 of the study.

Patricia Gillen (9178909)
Ruth D. Neill (13839953)
John Mallett (10712751)
John Moriarty (1359435)
Jill Manthorpe (3445067)
Heike Schroder (13839956)
Denise Currie (7742384)
Susan McGrory (13839959)
Patricia Nicholl (13839962)
Jermaine Ravalier (13839965)
Paula McFadden (12554668)

September 2022

Unweighted descriptive statistics for key study variables and their comparison between Phase 1 and P...

Multinomial regression models for last weight category, individual models by weight stratum and using the weight category at entry into the cohort as the reference, results shown as odds ratios, both unadjusted and adjusted models.

Byron A. Foster (17014385)
Emile Latour (10683553)
Jeong Youn Lim (17014388)
Kelsey Weinstein (6035996)

September 2023

Multinomial regression models for last weight category, individual models by weight stratum and usin...

Descriptive statistics and unstandardized regression coefficients for Study 1.

Julia Meis (4401043)
Yoshihisa Kashima (709757)

August 2017

Descriptive statistics and unstandardized regression coefficients for Study 1.</p

Not Available

Jayasankar,P

January 1990

Not AvailableThe regression coefficients of length-weight relationship in females and males O. ruber...

Relationship and fitted models between the cumulative IPAR and dry mass in 2011 (A) and 2012 (B).

Xiaoyu Zhi (663430)
Yingchun Han (143704)
Shuchun Mao (663431)
Guoping Wang (416170)
Lu Feng (193271)
Beifang Yang (663432)
Zhengyi Fan (663433)
Wenli Du (482663)
Jianhua Lu (555672)
Yabing Li (663434)

November 2014

Relationship and fitted models between the cumulative IPAR and dry mass in 2011 (A) and 2012 (B)....

Standardised regression weights of SINS-CN items on first-order factors and squared multiple correlations of error variances.

Susan D. Shenkin (499807)
Roger Watson (571867)
Ken Laidlaw (571868)
John M. Starr (107707)
Ian J. Deary (107724)

June 2014

Standardised regression weights of SINS-CN items on first-order factors and squared multiple corr...

Slopes of the best-fitting line between estimated and true item measures.

Chris Bradley (5870960)
Robert W. Massof (5870963)

October 2018

Slopes of the best-fitting line between estimated and true item measures for MSD (blue squares) and ...

Descriptive statistics of sample characteristics (unweighted estimates) in the 2012 NNYFS.

Yang Bai (198601)
Senlin Chen (2180358)
Kelly R. Laurson (2180360)
Youngwon Kim (546901)
Pedro F. Saint-Maurice (833021)
Gregory J. Welk (546904)

January 2016

Descriptive statistics of sample characteristics (unweighted estimates) in the 2012 NNYFS.</p

Correlation estimates describing the relationship between the different model-based estimates.

Nitzan Shahar (709751)
Tobias U. Hauser (705683)
Michael Moutoussis (2889665)
Rani Moran (3315630)
Mehdi Keramati (350780)
Raymond J. Dolan (209991)

February 2019

Correlation estimates describing the relationship between the different model-based estimates.</p

Nonparametric spearman correlations among variables used in the study (N = 398).

Monika K. Sumra (713719)

April 2019

Nonparametric spearman correlations among variables used in the study (N = 398).</p

A clear correlation between the difference and the mean magnitude can be noticed for both groups.

Vlad A. Bratu (541992)
Veit J. Erpenbeck (66742)
Antonia Fehrenbach (42389)
Tanja Rausch (541993)
Susanne Rittinghausen (129639)
Norbert Krug (66745)
Jens M. Hohlfeld (66744)
Heinz Fehrenbach (512465)

March 2014

Dashed line y = 0 represents the line of equality, which stands for perfect agreement. (a) Regres...

Correspondence between estimated standard errors (SE) for 2010 SDR and 2010 NSCG estimates based on the replicate weights, which fully account for the complex sampling features, and linearized (TSL) standard errors based on the final survey weights only (including a dashed 45-degree line representing perfect correspondence).

Brady T. West (3161931)
Joseph W. Sakshaug (554425)
Guy Alain S. Aurelien (3161928)

June 2016

Correspondence between estimated standard errors (SE) for 2010 SDR and 2010 NSCG estimates based ...

Fitting parameters for the regression lines calculated for given time periods together with the significance levels for the comparison of the regression and b coefficients.

Szymon Ciapała (790558)
Paweł Adamski (790559)

September 2015

Fitting parameters for the regression lines calculated for given time periods together with the s...

Descriptive statistics of the variables used in the regression models (N = 47).

Yacob A. Zereyesus (4233463)
Timothy J. Dalton (4233466)

July 2017

Descriptive statistics of the variables used in the regression models (N = 47).</p

Descriptive statistics and unstandardized regression coefficients for Study 2.

Julia Meis (4401043)
Yoshihisa Kashima (709757)

August 2017

Descriptive statistics and unstandardized regression coefficients for Study 2.</p

Unweighted descriptive statistics for key study variables and their comparison between Phase 1 and Phase 2 of the study.

Patricia Gillen (9178909)
Ruth D. Neill (13839953)
John Mallett (10712751)
John Moriarty (1359435)
Jill Manthorpe (3445067)
Heike Schroder (13839956)
Denise Currie (7742384)
Susan McGrory (13839959)
Patricia Nicholl (13839962)
Jermaine Ravalier (13839965)
Paula McFadden (12554668)

September 2022

Unweighted descriptive statistics for key study variables and their comparison between Phase 1 and P...

Multinomial regression models for last weight category, individual models by weight stratum and using the weight category at entry into the cohort as the reference, results shown as odds ratios, both unadjusted and adjusted models.

Byron A. Foster (17014385)
Emile Latour (10683553)
Jeong Youn Lim (17014388)
Kelsey Weinstein (6035996)

September 2023

Multinomial regression models for last weight category, individual models by weight stratum and usin...

Descriptive statistics and unstandardized regression coefficients for Study 1.

Julia Meis (4401043)
Yoshihisa Kashima (709757)

August 2017

Descriptive statistics and unstandardized regression coefficients for Study 1.</p

Not Available

Jayasankar,P

January 1990

Not AvailableThe regression coefficients of length-weight relationship in females and males O. ruber...

Relationship and fitted models between the cumulative IPAR and dry mass in 2011 (A) and 2012 (B).

Xiaoyu Zhi (663430)
Yingchun Han (143704)
Shuchun Mao (663431)
Guoping Wang (416170)
Lu Feng (193271)
Beifang Yang (663432)
Zhengyi Fan (663433)
Wenli Du (482663)
Jianhua Lu (555672)
Yabing Li (663434)

November 2014

Relationship and fitted models between the cumulative IPAR and dry mass in 2011 (A) and 2012 (B)....

Standardised regression weights of SINS-CN items on first-order factors and squared multiple correlations of error variances.

Susan D. Shenkin (499807)
Roger Watson (571867)
Ken Laidlaw (571868)
John M. Starr (107707)
Ian J. Deary (107724)

June 2014

Standardised regression weights of SINS-CN items on first-order factors and squared multiple corr...

Slopes of the best-fitting line between estimated and true item measures.

Chris Bradley (5870960)
Robert W. Massof (5870963)

October 2018

Slopes of the best-fitting line between estimated and true item measures for MSD (blue squares) and ...

Descriptive statistics of sample characteristics (unweighted estimates) in the 2012 NNYFS.

Yang Bai (198601)
Senlin Chen (2180358)
Kelly R. Laurson (2180360)
Youngwon Kim (546901)
Pedro F. Saint-Maurice (833021)
Gregory J. Welk (546904)

January 2016

Descriptive statistics of sample characteristics (unweighted estimates) in the 2012 NNYFS.</p

Correlation estimates describing the relationship between the different model-based estimates.

Nitzan Shahar (709751)
Tobias U. Hauser (705683)
Michael Moutoussis (2889665)
Rani Moran (3315630)
Mehdi Keramati (350780)
Raymond J. Dolan (209991)

February 2019

Correlation estimates describing the relationship between the different model-based estimates.</p

Nonparametric spearman correlations among variables used in the study (N = 398).

Monika K. Sumra (713719)

April 2019

Nonparametric spearman correlations among variables used in the study (N = 398).</p

A clear correlation between the difference and the mean magnitude can be noticed for both groups.

Vlad A. Bratu (541992)
Veit J. Erpenbeck (66742)
Antonia Fehrenbach (42389)
Tanja Rausch (541993)
Susanne Rittinghausen (129639)
Norbert Krug (66745)
Jens M. Hohlfeld (66744)
Heinz Fehrenbach (512465)

March 2014

Dashed line y = 0 represents the line of equality, which stands for perfect agreement. (a) Regres...

Correspondence between weighted and unweighted estimates of descriptive parameters and regression coefficients in the 2010 SDR and the 2010 NSCG (including a dashed 45-degree line representing perfect correspondence).

Abstract

Extracted data

Correspondence between weighted and unweighted estimates of descriptive parameters and regression coefficients in the 2010 SDR and the 2010 NSCG (including a dashed 45-degree line representing perfect correspondence).

Abstract

Extracted data

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