Results of the multiple regression models by bioclimatic region: Standardized coefficients and standard errors (in brackets), adjusted R2, sample size (N), F value and degrees of freedom (dfs), residual standard error (RSE) and p-values.

Mixed effect regression coefficients for total and regional WMH volumes and CSF biomarkers.

Seonjoo Lee (683221)
Molly E. Zimmerman (2656963)
Atul Narkhede (5194274)
Sara E. Nasrabady (5194268)
Giuseppe Tosto (113224)
Irene B. Meier (5194265)
Tammie L. S. Benzinger (480511)
Daniel S. Marcus (480507)
Anne M. Fagan (224128)
Nick C. Fox (300143)
Nigel J. Cairns (297848)
David M. Holtzman (224130)
Virginia Buckles (5194286)
Bernardino Ghetti (229719)
Eric McDade (2580211)
Ralph N. Martins (389271)
Andrew J. Saykin (114058)
Colin L. Masters (31155)
John M. Ringman (2580208)
Stefan Fӧrster (5194280)
Peter R. Schofield (123807)
Reisa A. Sperling (361442)
Keith A. Johnson (746973)
Jasmeer P. Chhatwal (5194277)
Stephen Salloway (5194271)
Stephen Correia (5194283)
Clifford R. Jack Jr (155182)
Michael Weiner (261433)
Randall J. Bateman (320470)
John C. Morris (197761)
Richard Mayeux (113225)
Adam M. Brickman (283376)

May 2018

Mixed effect regression coefficients for total and regional WMH volumes and CSF biomarkers.</p

Results of linear regressions (F-statistics and P-values; d.f. = degrees of freedom) between the abundances of specific taxa obtained via the morphology-based and the molecular method.

Sophie Groendahl (3157200)
Maria Kahlert (3779548)
Patrick Fink (338144)

February 2017

Results of linear regressions (F-statistics and P-values; d.f. = degrees of freedom) between the ...

Partial regression coefficients and P values from phylogenetically informed and conventional ordinary least squares (OLS) multiple regressions.

Jorge S. Gutiérrez (147297)
José M. Abad-Gómez (147300)
Juan M. Sánchez-Guzmán (147303)
Juan G. Navedo (147305)
José A. Masero (147310)

July 2012

Log basal metabolic rate (BMR) was the dependent variable, and various combinations of log body m...

Standardized regression coefficients from the multiple regression models between habitat suitability and the bioclimatic variables.

Levi Carina Terribile (663639)
Darlan Tavares Feitosa (5963180)
Matheus Godoy Pires (5963183)
Paula Carolina Rodrigues de Almeida (5963186)
Guilherme de Oliveira (3477899)
José Alexandre Felizola Diniz-Filho (260521)
Nelson Jorge da Silva Jr (5963189)

November 2018

Bold values indicate the two most important variables (i.e., with the higher coefficient values) for...

Multiple linear regression showing standardized coefficients from model averaging for final biomass and change in abundance in monoculture and five life-form treatments.

Jeremy Lundholm (251806)
Amy Heim (590711)
Stephanie Tran (590712)
Tyler Smith (590713)

June 2014

Multiple linear regression showing standardized coefficients from model averaging for final bioma...

Multiple regression analysis between logarithm of species diversity and climate variables in current condition.

Fang Fang (38179)
Hongying Sun (105945)
Qiang Zhao (105948)
Congtian Lin (105951)
Yufang Sun (105955)
Wei Gao (2085)
Juanjuan Xu (105960)
Junying Zhou (105962)
Feng Ge (64593)
Naifa Liu (105964)

January 2013

Signif. codes: ** p<0.01, * p<0.05; Residual standard error: 0.615 on 43 degrees of...

Multiple regression model summaries and regression coefficients of the significant climate variables and when year added (if significant improvement to model).

Anna Bock (436202)
Tim H. Sparks (326309)
Nicole Estrella (326310)
Annette Menzel (326348)

July 2013

Multiple regression model summaries and regression coefficients of the significant climate variab...

Multiple linear regression models testing the effect of environmental parameters and contaminants on biotic response variables: the total number of individuals and taxa, Simpson and Shannon diversity, number of EPT taxa and the saprobic index.

Daniel Stalter (400361)
Axel Magdeburg (400362)
Kristin Quednow (400363)
Alexandra Botzat (400364)
Jörg Oehlmann (74061)

April 2013

Given are df-, R2-, F- and p-values for full models after stepwise deletion of non-sig...

Multiple regression model summaries and regression coefficients of the significant climate variables for period 3/3S (1962–2010) when local sunshine and precipitation were considered as variables in addition to national temperature models in Table 2.

Anna Bock (436202)
Tim H. Sparks (326309)
Nicole Estrella (326310)
Annette Menzel (326348)

July 2013

Multiple regression model summaries and regression coefficients of the significant climate variab...

P-values for each factor in the full multiple regression models of volume, cross-sectional area (CSA), width, depth, Euclidean distance from the template (EDT), and phase shift relative to the template.

Drew A. Anderson (14197446)
Michele L. Oliver (14197449)
Karen D. Gordon (3148095)

November 2022

P-values for each factor in the full multiple regression models of volume, cross-sectional area (CSA...

Results of multiple linear regression of model parameters on disease stage, where disease stage was coded linearly (controls = 0, pre-HD-A = 1, pre-HD-B = 2, HD-1 = 3, HD-2 = 4).

Thomas V. Wiecki (1806382)
Chrystalina A. Antoniades (318610)
Alexander Stevenson (1806376)
Christopher Kennard (285061)
Beth Borowsky (1806394)
Gail Owen (1806391)
Blair Leavitt (1806385)
Raymund Roos (1806379)
Alexandra Durr (76777)
Sarah J. Tabrizi (49275)
Michael J. Frank (1806388)

February 2016

Results of multiple linear regression of model parameters on disease stage, where disease stage w...

Multiple regression model used for evaluating the relative importance of different factors as drivers of commission and omission errors.

Virgilio Hermoso (394592)
Mark J. Kennard (394593)
Simon Linke (394594)

March 2013

The rate of false positive and negative occurrences was calculated by comparing the spatial distr...

Results of multivariate analysis: The regression coefficients, standard error, t-value, and p-value of the selected risk factors.

Kyouko Higuchi (6635540)
Takashi Yanagawa (126890)

April 2019

Results of multivariate analysis: The regression coefficients, standard error, t-value, and p-value ...

Results of multiple linear regressions to determine the effect of experiment, temperature, salinity, and food level on A. metabolic rate (model: µmole O2 hr−1 g−1 = T+S+FL+(T * S) ), adj. R2 = 0.1, B. and PK:CS ratio (model: PK:CS ratio = S+FL+(S * FL) ), adj. R2 = 0.12.

Nathan A. Miller (531065)
Xi Chen (35903)
Jonathon H. Stillman (252870)

March 2014

Results of multiple linear regressions to determine the effect of experiment, temperature, salini...

Results of the linear multiple regression analyses showing the averaged standardized (beta) and unstandardized (β) regression coefficients for each of the four explanatory variables, along with their relative importance (RI).

Efthymia Giosa (4527940)
Christos Mammides (3265413)
Savvas Zotos (4527943)

May 2018

Results of the linear multiple regression analyses showing the averaged standardized (beta) and u...

Mixed effect regression coefficients for total and regional WMH volumes and CSF biomarkers.

Seonjoo Lee (683221)
Molly E. Zimmerman (2656963)
Atul Narkhede (5194274)
Sara E. Nasrabady (5194268)
Giuseppe Tosto (113224)
Irene B. Meier (5194265)
Tammie L. S. Benzinger (480511)
Daniel S. Marcus (480507)
Anne M. Fagan (224128)
Nick C. Fox (300143)
Nigel J. Cairns (297848)
David M. Holtzman (224130)
Virginia Buckles (5194286)
Bernardino Ghetti (229719)
Eric McDade (2580211)
Ralph N. Martins (389271)
Andrew J. Saykin (114058)
Colin L. Masters (31155)
John M. Ringman (2580208)
Stefan Fӧrster (5194280)
Peter R. Schofield (123807)
Reisa A. Sperling (361442)
Keith A. Johnson (746973)
Jasmeer P. Chhatwal (5194277)
Stephen Salloway (5194271)
Stephen Correia (5194283)
Clifford R. Jack Jr (155182)
Michael Weiner (261433)
Randall J. Bateman (320470)
John C. Morris (197761)
Richard Mayeux (113225)
Adam M. Brickman (283376)

May 2018

Mixed effect regression coefficients for total and regional WMH volumes and CSF biomarkers.</p

Results of linear regressions (F-statistics and P-values; d.f. = degrees of freedom) between the abundances of specific taxa obtained via the morphology-based and the molecular method.

Sophie Groendahl (3157200)
Maria Kahlert (3779548)
Patrick Fink (338144)

February 2017

Results of linear regressions (F-statistics and P-values; d.f. = degrees of freedom) between the ...

Partial regression coefficients and P values from phylogenetically informed and conventional ordinary least squares (OLS) multiple regressions.

Jorge S. Gutiérrez (147297)
José M. Abad-Gómez (147300)
Juan M. Sánchez-Guzmán (147303)
Juan G. Navedo (147305)
José A. Masero (147310)

July 2012

Log basal metabolic rate (BMR) was the dependent variable, and various combinations of log body m...

Standardized regression coefficients from the multiple regression models between habitat suitability and the bioclimatic variables.

Levi Carina Terribile (663639)
Darlan Tavares Feitosa (5963180)
Matheus Godoy Pires (5963183)
Paula Carolina Rodrigues de Almeida (5963186)
Guilherme de Oliveira (3477899)
José Alexandre Felizola Diniz-Filho (260521)
Nelson Jorge da Silva Jr (5963189)

November 2018

Bold values indicate the two most important variables (i.e., with the higher coefficient values) for...

Multiple linear regression showing standardized coefficients from model averaging for final biomass and change in abundance in monoculture and five life-form treatments.

Jeremy Lundholm (251806)
Amy Heim (590711)
Stephanie Tran (590712)
Tyler Smith (590713)

June 2014

Multiple linear regression showing standardized coefficients from model averaging for final bioma...

Multiple regression analysis between logarithm of species diversity and climate variables in current condition.

Fang Fang (38179)
Hongying Sun (105945)
Qiang Zhao (105948)
Congtian Lin (105951)
Yufang Sun (105955)
Wei Gao (2085)
Juanjuan Xu (105960)
Junying Zhou (105962)
Feng Ge (64593)
Naifa Liu (105964)

January 2013

Signif. codes: ** p<0.01, * p<0.05; Residual standard error: 0.615 on 43 degrees of...

Multiple regression model summaries and regression coefficients of the significant climate variables and when year added (if significant improvement to model).

Anna Bock (436202)
Tim H. Sparks (326309)
Nicole Estrella (326310)
Annette Menzel (326348)

July 2013

Multiple regression model summaries and regression coefficients of the significant climate variab...

Multiple linear regression models testing the effect of environmental parameters and contaminants on biotic response variables: the total number of individuals and taxa, Simpson and Shannon diversity, number of EPT taxa and the saprobic index.

Daniel Stalter (400361)
Axel Magdeburg (400362)
Kristin Quednow (400363)
Alexandra Botzat (400364)
Jörg Oehlmann (74061)

April 2013

Given are df-, R2-, F- and p-values for full models after stepwise deletion of non-sig...

Multiple regression model summaries and regression coefficients of the significant climate variables for period 3/3S (1962–2010) when local sunshine and precipitation were considered as variables in addition to national temperature models in Table 2.

Anna Bock (436202)
Tim H. Sparks (326309)
Nicole Estrella (326310)
Annette Menzel (326348)

July 2013

Multiple regression model summaries and regression coefficients of the significant climate variab...

P-values for each factor in the full multiple regression models of volume, cross-sectional area (CSA), width, depth, Euclidean distance from the template (EDT), and phase shift relative to the template.

Drew A. Anderson (14197446)
Michele L. Oliver (14197449)
Karen D. Gordon (3148095)

November 2022

P-values for each factor in the full multiple regression models of volume, cross-sectional area (CSA...

Results of multiple linear regression of model parameters on disease stage, where disease stage was coded linearly (controls = 0, pre-HD-A = 1, pre-HD-B = 2, HD-1 = 3, HD-2 = 4).

Thomas V. Wiecki (1806382)
Chrystalina A. Antoniades (318610)
Alexander Stevenson (1806376)
Christopher Kennard (285061)
Beth Borowsky (1806394)
Gail Owen (1806391)
Blair Leavitt (1806385)
Raymund Roos (1806379)
Alexandra Durr (76777)
Sarah J. Tabrizi (49275)
Michael J. Frank (1806388)

February 2016

Results of multiple linear regression of model parameters on disease stage, where disease stage w...

Multiple regression model used for evaluating the relative importance of different factors as drivers of commission and omission errors.

Virgilio Hermoso (394592)
Mark J. Kennard (394593)
Simon Linke (394594)

March 2013

The rate of false positive and negative occurrences was calculated by comparing the spatial distr...

Results of multivariate analysis: The regression coefficients, standard error, t-value, and p-value of the selected risk factors.

Kyouko Higuchi (6635540)
Takashi Yanagawa (126890)

April 2019

Results of multivariate analysis: The regression coefficients, standard error, t-value, and p-value ...

Results of multiple linear regressions to determine the effect of experiment, temperature, salinity, and food level on A. metabolic rate (model: µmole O2 hr−1 g−1 = T+S+FL+(T * S) ), adj. R2 = 0.1, B. and PK:CS ratio (model: PK:CS ratio = S+FL+(S * FL) ), adj. R2 = 0.12.

Nathan A. Miller (531065)
Xi Chen (35903)
Jonathon H. Stillman (252870)

March 2014

Results of multiple linear regressions to determine the effect of experiment, temperature, salini...

Results of the linear multiple regression analyses showing the averaged standardized (beta) and unstandardized (β) regression coefficients for each of the four explanatory variables, along with their relative importance (RI).

Efthymia Giosa (4527940)
Christos Mammides (3265413)
Savvas Zotos (4527943)

May 2018

Results of the linear multiple regression analyses showing the averaged standardized (beta) and u...

Mixed effect regression coefficients for total and regional WMH volumes and CSF biomarkers.

Seonjoo Lee (683221)
Molly E. Zimmerman (2656963)
Atul Narkhede (5194274)
Sara E. Nasrabady (5194268)
Giuseppe Tosto (113224)
Irene B. Meier (5194265)
Tammie L. S. Benzinger (480511)
Daniel S. Marcus (480507)
Anne M. Fagan (224128)
Nick C. Fox (300143)
Nigel J. Cairns (297848)
David M. Holtzman (224130)
Virginia Buckles (5194286)
Bernardino Ghetti (229719)
Eric McDade (2580211)
Ralph N. Martins (389271)
Andrew J. Saykin (114058)
Colin L. Masters (31155)
John M. Ringman (2580208)
Stefan Fӧrster (5194280)
Peter R. Schofield (123807)
Reisa A. Sperling (361442)
Keith A. Johnson (746973)
Jasmeer P. Chhatwal (5194277)
Stephen Salloway (5194271)
Stephen Correia (5194283)
Clifford R. Jack Jr (155182)
Michael Weiner (261433)
Randall J. Bateman (320470)
John C. Morris (197761)
Richard Mayeux (113225)
Adam M. Brickman (283376)

May 2018

Mixed effect regression coefficients for total and regional WMH volumes and CSF biomarkers.</p

Results of linear regressions (F-statistics and P-values; d.f. = degrees of freedom) between the abundances of specific taxa obtained via the morphology-based and the molecular method.

Sophie Groendahl (3157200)
Maria Kahlert (3779548)
Patrick Fink (338144)

February 2017

Results of linear regressions (F-statistics and P-values; d.f. = degrees of freedom) between the ...

Partial regression coefficients and P values from phylogenetically informed and conventional ordinary least squares (OLS) multiple regressions.

Jorge S. Gutiérrez (147297)
José M. Abad-Gómez (147300)
Juan M. Sánchez-Guzmán (147303)
Juan G. Navedo (147305)
José A. Masero (147310)

July 2012

Log basal metabolic rate (BMR) was the dependent variable, and various combinations of log body m...

Results of the multiple regression models by bioclimatic region: Standardized coefficients and standard errors (in brackets), adjusted R<sup>2</sup>, sample size (N), F value and degrees of freedom (dfs), residual standard error (RSE) and <i>p</i>-values.

Abstract

Extracted data

Results of the multiple regression models by bioclimatic region: Standardized coefficients and standard errors (in brackets), adjusted R<sup>2</sup>, sample size (N), F value and degrees of freedom (dfs), residual standard error (RSE) and <i>p</i>-values.

Abstract

Extracted data

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