Dose-response curves based on the Exponential Model () and the Cumulative Dose model () compared to the experimental dataset for Cryptosporidium parvum (squares).

Evaluation of methacholine dose-response curves by linear and exponential mathemati-

Eur Respir J
M. Pasquetto
M. Ferrari
F. Fanfulla
E. Zanolin
B. Rijcken
R. De Marco

January 903

Evaluation of methacholine dose-response curves by linear and exponential mathematical models: goodn...

Damon J. A. Toth (446714)
Adi V. Gundlapalli (446715)
Wiley A. Schell (243117)
Kenneth Bulmahn (446716)
Thomas E. Walton (446717)
Christopher W. Woods (104194)
Catherine Coghill (446718)
Frank Gallegos (446719)
Matthew H. Samore (446720)
Frederick R. Adler (143274)

August 2013

Our best fit exponential model B4 based on Brachman data (shaded region = 95% confidence r...

Dose-response curves and susceptibility distributions inferred from mortality measurements 30 and 50 days post-challenge.

Delphine Pessoa (615342)
Caetano Souto-Maior (615343)
Erida Gjini (615344)
Joao S. Lopes (615345)
Bruno Ceña (615346)
Cláudia T. Codeço (5655883)
M. Gabriela M. Gomes (251416)

August 2014

Dose-responses models adopted here are the standard formulations (1–3). A,D, Curves represent the...

Probability of infection from experimental data for Cryptosporidium parvum () compared to the probability of infection predicted by the Exponential model (EM) and the Cumulative Dose (CD) model.

Josep M. Pujol (188369)
Joseph E. Eisenberg (107254)
Charles N. Haas (179242)
James S. Koopman (107264)

February 2013

The estimated parameters are for the Exponential model [30] and ...

Dose-response curves based on the Exponential Model () and the Cumulative Dose model () compared to the experimental dataset for Poliovirus type 1 (squares).

Josep M. Pujol (188369)
Joseph E. Eisenberg (107254)
Charles N. Haas (179242)
James S. Koopman (107264)

February 2013

The estimated parameters are for the Exponential model <a href="http://www.ploscompbiol.org/arti...

Cryptosporidium dose–response and dynamics.

Andrew F. Brouwer (2558998)
Mark H. Weir (2186356)
Marisa C. Eisenberg (749700)
Rafael Meza (201050)
Joseph N. S. Eisenberg (239043)

April 2017

a) Maximum-likelihood estimates of dose–response functions for Cryptosporidium. Data from ...

Probability of infection from experimental data for Polivirus type 1 () compared to the probability of infection based on the Exponential model () and the Cumulative Dose model ().

Josep M. Pujol (188369)
Joseph E. Eisenberg (107254)
Charles N. Haas (179242)
James S. Koopman (107264)

February 2013

The estimated parameters are for the Exponential model <a href="http://www.ploscompbiol.org/arti...

Dose-response curves

Hezoučký, Martin

January 2020

Title: Dose-response curves Author: Martin Hezoučký Department: Department of Probability and Mathem...

Coefficients of the model fitted to the polyketide dose–BY4741 growth response curves.

Tomoko Yamada (5831683)
Masato Hamada (6659174)
Paul Floreancig (6659177)
Atsushi Nakabachi (65399)

May 2019

Coefficients of the model fitted to the polyketide dose–BY4741 growth response curves.</p

Comparison of model calculated and experimental [46] IC50 values for PD-1 dose response curves.

Theinmozhi Arulraj (5369465)
Debashis Barik (3389255)

October 2018

Comparison of model calculated and experimental [46] IC50 values for PD-1 dose response curves.</p

Predicted effects of varying exposure times () when inoculated with Cryptosporidium parvum.

Josep M. Pujol (188369)
Joseph E. Eisenberg (107254)
Charles N. Haas (179242)
James S. Koopman (107264)

February 2013

The top graph comes from simulations using the parameter set defined in ...

Dose-response coefficients obtained for the different adjustments to the models and their goodness-of-fit χ2 statistics.

Mònica Pujol (668153)
Joan-Francesc Barquinero (668154)
Pedro Puig (668155)
Roser Puig (668156)
María Rosa Caballín (668157)
Leonardo Barrios (668158)

December 2014

Dose-response coefficients obtained for the different adjustments to the models and their goodnes...

The dose model predicts well the effect of combinations of 3–5 TB drugs on M. tuberculosis growth.

Itay Katzir (4537147)
Murat Cokol (540171)
Bree B. Aldridge (265311)
Uri Alon (15569)

February 2019

(A) The response curves for all 9 combinations (dots) compared to the dose model predictions (solid ...

Statistical Methods for Dose-Response Assays

Tong, Frances Poyen

January 2010

Dose-response assays are a common and increasingly high throughput method of assessing the toxicity ...

Model parameters, data sources and assumptions used in the base case and in the scenario and sensitivity analyses for the estimation of the burden of disease and costs of illness due to Cryptosporidium.

Susana Monge (437404)
Roan Pijnacker (4532860)
Wilfrid van Pelt (185301)
Eelco Franz (706315)
Laetitia M. Kortbeek (6448952)
Marie-Josée J. Mangen (170760)

March 2019

Model parameters, data sources and assumptions used in the base case and in the scenario and sensiti...

Evaluation of methacholine dose-response curves by linear and exponential mathemati-

Eur Respir J
M. Pasquetto
M. Ferrari
F. Fanfulla
E. Zanolin
B. Rijcken
R. De Marco

January 903

Evaluation of methacholine dose-response curves by linear and exponential mathematical models: goodn...

Comparison of dose-response models.

Damon J. A. Toth (446714)
Adi V. Gundlapalli (446715)
Wiley A. Schell (243117)
Kenneth Bulmahn (446716)
Thomas E. Walton (446717)
Christopher W. Woods (104194)
Catherine Coghill (446718)
Frank Gallegos (446719)
Matthew H. Samore (446720)
Frederick R. Adler (143274)

August 2013

Our best fit exponential model B4 based on Brachman data (shaded region = 95% confidence r...

Dose-response curves and susceptibility distributions inferred from mortality measurements 30 and 50 days post-challenge.

Delphine Pessoa (615342)
Caetano Souto-Maior (615343)
Erida Gjini (615344)
Joao S. Lopes (615345)
Bruno Ceña (615346)
Cláudia T. Codeço (5655883)
M. Gabriela M. Gomes (251416)

August 2014

Dose-responses models adopted here are the standard formulations (1–3). A,D, Curves represent the...

Probability of infection from experimental data for Cryptosporidium parvum () compared to the probability of infection predicted by the Exponential model (EM) and the Cumulative Dose (CD) model.

Josep M. Pujol (188369)
Joseph E. Eisenberg (107254)
Charles N. Haas (179242)
James S. Koopman (107264)

February 2013

The estimated parameters are for the Exponential model [30] and ...

Dose-response curves based on the Exponential Model () and the Cumulative Dose model () compared to the experimental dataset for Poliovirus type 1 (squares).

Josep M. Pujol (188369)
Joseph E. Eisenberg (107254)
Charles N. Haas (179242)
James S. Koopman (107264)

February 2013

The estimated parameters are for the Exponential model <a href="http://www.ploscompbiol.org/arti...

Cryptosporidium dose–response and dynamics.

Andrew F. Brouwer (2558998)
Mark H. Weir (2186356)
Marisa C. Eisenberg (749700)
Rafael Meza (201050)
Joseph N. S. Eisenberg (239043)

April 2017

a) Maximum-likelihood estimates of dose–response functions for Cryptosporidium. Data from ...

Probability of infection from experimental data for Polivirus type 1 () compared to the probability of infection based on the Exponential model () and the Cumulative Dose model ().

Josep M. Pujol (188369)
Joseph E. Eisenberg (107254)
Charles N. Haas (179242)
James S. Koopman (107264)

February 2013

The estimated parameters are for the Exponential model <a href="http://www.ploscompbiol.org/arti...

Dose-response curves

Hezoučký, Martin

January 2020

Title: Dose-response curves Author: Martin Hezoučký Department: Department of Probability and Mathem...

Coefficients of the model fitted to the polyketide dose–BY4741 growth response curves.

Tomoko Yamada (5831683)
Masato Hamada (6659174)
Paul Floreancig (6659177)
Atsushi Nakabachi (65399)

May 2019

Coefficients of the model fitted to the polyketide dose–BY4741 growth response curves.</p

Comparison of model calculated and experimental [46] IC50 values for PD-1 dose response curves.

Theinmozhi Arulraj (5369465)
Debashis Barik (3389255)

October 2018

Comparison of model calculated and experimental [46] IC50 values for PD-1 dose response curves.</p

Predicted effects of varying exposure times () when inoculated with Cryptosporidium parvum.

Josep M. Pujol (188369)
Joseph E. Eisenberg (107254)
Charles N. Haas (179242)
James S. Koopman (107264)

February 2013

The top graph comes from simulations using the parameter set defined in ...

Dose-response coefficients obtained for the different adjustments to the models and their goodness-of-fit χ2 statistics.

Mònica Pujol (668153)
Joan-Francesc Barquinero (668154)
Pedro Puig (668155)
Roser Puig (668156)
María Rosa Caballín (668157)
Leonardo Barrios (668158)

December 2014

Dose-response coefficients obtained for the different adjustments to the models and their goodnes...

The dose model predicts well the effect of combinations of 3–5 TB drugs on M. tuberculosis growth.

Itay Katzir (4537147)
Murat Cokol (540171)
Bree B. Aldridge (265311)
Uri Alon (15569)

February 2019

(A) The response curves for all 9 combinations (dots) compared to the dose model predictions (solid ...

Statistical Methods for Dose-Response Assays

Tong, Frances Poyen

January 2010

Dose-response assays are a common and increasingly high throughput method of assessing the toxicity ...

Model parameters, data sources and assumptions used in the base case and in the scenario and sensitivity analyses for the estimation of the burden of disease and costs of illness due to Cryptosporidium.

Susana Monge (437404)
Roan Pijnacker (4532860)
Wilfrid van Pelt (185301)
Eelco Franz (706315)
Laetitia M. Kortbeek (6448952)
Marie-Josée J. Mangen (170760)

March 2019

Model parameters, data sources and assumptions used in the base case and in the scenario and sensiti...

Evaluation of methacholine dose-response curves by linear and exponential mathemati-

Eur Respir J
M. Pasquetto
M. Ferrari
F. Fanfulla
E. Zanolin
B. Rijcken
R. De Marco

January 903

Evaluation of methacholine dose-response curves by linear and exponential mathematical models: goodn...

Comparison of dose-response models.

Damon J. A. Toth (446714)
Adi V. Gundlapalli (446715)
Wiley A. Schell (243117)
Kenneth Bulmahn (446716)
Thomas E. Walton (446717)
Christopher W. Woods (104194)
Catherine Coghill (446718)
Frank Gallegos (446719)
Matthew H. Samore (446720)
Frederick R. Adler (143274)

August 2013

Our best fit exponential model B4 based on Brachman data (shaded region = 95% confidence r...

Dose-response curves and susceptibility distributions inferred from mortality measurements 30 and 50 days post-challenge.

Delphine Pessoa (615342)
Caetano Souto-Maior (615343)
Erida Gjini (615344)
Joao S. Lopes (615345)
Bruno Ceña (615346)
Cláudia T. Codeço (5655883)
M. Gabriela M. Gomes (251416)

August 2014

Dose-responses models adopted here are the standard formulations (1–3). A,D, Curves represent the...

Dose-response curves based on the Exponential Model () and the Cumulative Dose model () compared to the experimental dataset for <i>Cryptosporidium parvum</i> (squares).

Abstract

Extracted data

Dose-response curves based on the Exponential Model () and the Cumulative Dose model () compared to the experimental dataset for <i>Cryptosporidium parvum</i> (squares).

Abstract

Extracted data

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