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Showing 1 to 12 of 193 entries
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Modelling Placebo Response via Infinite Mixtures.

JP journal of biostatistics

Tarpey T, Petkova E.
PMID: 21804745
JP J Biostat. 2010 Jun 01;4(2):161-179.

Non-specific treatment response, also known as placebo response, is ubiquitous in the treatment of mental illness, particularly in treating depression. The study of placebo effect is complicated because the factors that constitute non-specific treatment effects are latent and not...

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Tarpey T, Petkova E. Modelling Placebo Response via Infinite Mixtures. JP J Biostat. 2010;4(2):161-179
Tarpey, T., & Petkova, E. (2010). Modelling Placebo Response via Infinite Mixtures. JP journal of biostatistics, 4(2), 161-179.
Tarpey, Thaddeus, and Petkova, Eva. "Modelling Placebo Response via Infinite Mixtures." JP journal of biostatistics vol. 4,2 (2010): 161-179.
Tarpey T, Petkova E. Modelling Placebo Response via Infinite Mixtures. JP J Biostat. 2010 Jun 01;4(2):161-179. PMID: 21804745; PMCID: PMC3145361.
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LATENT CLASS MODELING USING MATRIX COVARIATES WITH APPLICATION TO IDENTIFYING EARLY PLACEBO RESPONDERS BASED ON EEG SIGNALS.

The annals of applied statistics

Jiang B, Petkova E, Tarpey T, Ogden RT.
PMID: 29152032
Ann Appl Stat. 2017 Sep;11(3):1513-1536. doi: 10.1214/17-AOAS1044. Epub 2017 Oct 05.

Latent class models are widely used to identify unobserved subgroups (i.e., latent classes) based upon one or more manifest variables. The probability of belonging to each subgroup is typically modeled as a function of a set of measured covariates....

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Jiang B, Petkova E, Tarpey T, et al. LATENT CLASS MODELING USING MATRIX COVARIATES WITH APPLICATION TO IDENTIFYING EARLY PLACEBO RESPONDERS BASED ON EEG SIGNALS. Ann Appl Stat. 2017;11(3):1513-1536doi: 10.1214/17-AOAS1044.
Jiang, B., Petkova, E., Tarpey, T., & Ogden, R. T. (2017). LATENT CLASS MODELING USING MATRIX COVARIATES WITH APPLICATION TO IDENTIFYING EARLY PLACEBO RESPONDERS BASED ON EEG SIGNALS. The annals of applied statistics, 11(3), 1513-1536. https://doi.org/10.1214/17-AOAS1044
Jiang, Bei, et al. "LATENT CLASS MODELING USING MATRIX COVARIATES WITH APPLICATION TO IDENTIFYING EARLY PLACEBO RESPONDERS BASED ON EEG SIGNALS." The annals of applied statistics vol. 11,3 (2017): 1513-1536. doi: https://doi.org/10.1214/17-AOAS1044
Jiang B, Petkova E, Tarpey T, Ogden RT. LATENT CLASS MODELING USING MATRIX COVARIATES WITH APPLICATION TO IDENTIFYING EARLY PLACEBO RESPONDERS BASED ON EEG SIGNALS. Ann Appl Stat. 2017 Sep;11(3):1513-1536. doi: 10.1214/17-AOAS1044. Epub 2017 Oct 05. PMID: 29152032; PMCID: PMC5687521.
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Budget Impact Analysis of Adding Dapaglifozin To The Therapy of Diabetes Mellitus Type 2 In Bulgaria.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research

Manova M, Petkova E, Yordanova S, Petkova V, Petrova G.
PMID: 27200607
Value Health. 2014 Nov;17(7):A337. doi: 10.1016/j.jval.2014.08.656. Epub 2014 Oct 26.

No abstract available.

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Manova M, Petkova E, Yordanova S, et al. Budget Impact Analysis of Adding Dapaglifozin To The Therapy of Diabetes Mellitus Type 2 In Bulgaria. Value Health. 2014;17(7):A337doi: 10.1016/j.jval.2014.08.656.
Manova, M., Petkova, E., Yordanova, S., Petkova, V., & Petrova, G. (2014). Budget Impact Analysis of Adding Dapaglifozin To The Therapy of Diabetes Mellitus Type 2 In Bulgaria. Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 17(7), A337. https://doi.org/10.1016/j.jval.2014.08.656
Manova, M, et al. "Budget Impact Analysis of Adding Dapaglifozin To The Therapy of Diabetes Mellitus Type 2 In Bulgaria." Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research vol. 17,7 (2014): A337. doi: https://doi.org/10.1016/j.jval.2014.08.656
Manova M, Petkova E, Yordanova S, Petkova V, Petrova G. Budget Impact Analysis of Adding Dapaglifozin To The Therapy of Diabetes Mellitus Type 2 In Bulgaria. Value Health. 2014 Nov;17(7):A337. doi: 10.1016/j.jval.2014.08.656. Epub 2014 Oct 26. PMID: 27200607.
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Imidazolyl derivative of chitosan with high substitution degree: Synthesis, characterization and sorption properties.

Carbohydrate polymers

Pestov AV, Mehaev AV, Kodess MI, Ezhikova MA, Azarova YA, Bratskaya SY.
PMID: 26794760
Carbohydr Polym. 2016 Mar 15;138:252-8. doi: 10.1016/j.carbpol.2015.11.057. Epub 2015 Nov 26.

A method of synthesis of chitosan imidazolyl derivative - N-(5-methyl-4-imidazolyl)methylchitosan (IM-chitosan) with high degree of substitution (DS) via reaction with 5-methyl-4-imidazolylmethanol has been developed. This method enables one to obtain polymers with the DS up to 1.35 with simultaneous...

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Pestov AV, Mehaev AV, Kodess MI, et al. Imidazolyl derivative of chitosan with high substitution degree: Synthesis, characterization and sorption properties. Carbohydr Polym. 2015;138:252-8doi: 10.1016/j.carbpol.2015.11.057.
Pestov, A. V., Mehaev, A. V., Kodess, M. I., Ezhikova, M. A., Azarova, Y. A., & Bratskaya, S. Y. (2016). Imidazolyl derivative of chitosan with high substitution degree: Synthesis, characterization and sorption properties. Carbohydrate polymers, 138252-8. https://doi.org/10.1016/j.carbpol.2015.11.057
Pestov, Alexander V, et al. "Imidazolyl derivative of chitosan with high substitution degree: Synthesis, characterization and sorption properties." Carbohydrate polymers vol. 138 (2016): 252-8. doi: https://doi.org/10.1016/j.carbpol.2015.11.057
Pestov AV, Mehaev AV, Kodess MI, Ezhikova MA, Azarova YA, Bratskaya SY. Imidazolyl derivative of chitosan with high substitution degree: Synthesis, characterization and sorption properties. Carbohydr Polym. 2016 Mar 15;138:252-8. doi: 10.1016/j.carbpol.2015.11.057. Epub 2015 Nov 26. PMID: 26794760.
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[Partial progressive surgery].

Casopis lekaru ceskych

PESKOVA H, DOBRKOVSKY M.
PMID: 14879403
Cas Lek Cesk. 1951 Sep 14;90(36):1112-6.

No abstract available.

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PESKOVA H, DOBRKOVSKY M. Cáste6cna postupna excise. [Partial progressive surgery]. Cas Lek Cesk. 1951;90(36):1112-6
PESKOVA, H., & DOBRKOVSKY, M. (1951). Cáste6cna postupna excise. [Partial progressive surgery]. Casopis lekaru ceskych, 90(36), 1112-6.
PESKOVA, H, and DOBRKOVSKY, M. "Cáste6cna postupna excise." [Partial progressive surgery]. Casopis lekaru ceskych vol. 90,36 (1951): 1112-6.
PESKOVA H, DOBRKOVSKY M. Cáste6cna postupna excise. [Partial progressive surgery]. Cas Lek Cesk. 1951 Sep 14;90(36):1112-6. Undetermined. PMID: 14879403.
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Model Misspecification: Finite Mixture or Homogeneous?.

Statistical modelling

Tarpey T, Yun D, Petkova E.
PMID: 18974843
Stat Modelling. 2008;8(2):199-218. doi: 10.1177/1471082X0800800204.

A common problem in statistical modelling is to distinguish between finite mixture distribution and a homogeneous non-mixture distribution. Finite mixture models are widely used in practice and often mixtures of normal densities are indistinguishable from homogenous non-normal densities. This...

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Tarpey T, Yun D, Petkova E. Model Misspecification: Finite Mixture or Homogeneous?. Stat Modelling. 2008;8(2):199-218doi: 10.1177/1471082X0800800204.
Tarpey, T., Yun, D., & Petkova, E. (2008). Model Misspecification: Finite Mixture or Homogeneous?. Statistical modelling, 8(2), 199-218. https://doi.org/10.1177/1471082X0800800204
Tarpey, Thaddeus, et al. "Model Misspecification: Finite Mixture or Homogeneous?." Statistical modelling vol. 8,2 (2008): 199-218. doi: https://doi.org/10.1177/1471082X0800800204
Tarpey T, Yun D, Petkova E. Model Misspecification: Finite Mixture or Homogeneous?. Stat Modelling. 2008;8(2):199-218. doi: 10.1177/1471082X0800800204. PMID: 18974843; PMCID: PMC2575245.
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Partitioning of Functional Data for Understanding Heterogeneity in Psychiatric Conditions.

Statistics and its interface

Petkova E, Tarpey T.
PMID: 20336166
Stat Interface. 2009 Jan 01;2(4):413-424. doi: 10.4310/sii.2009.v2.n4.a3.

No abstract available.

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Petkova E, Tarpey T. Partitioning of Functional Data for Understanding Heterogeneity in Psychiatric Conditions. Stat Interface. 2009;2(4):413-424doi: 10.4310/sii.2009.v2.n4.a3.
Petkova, E., & Tarpey, T. (2009). Partitioning of Functional Data for Understanding Heterogeneity in Psychiatric Conditions. Statistics and its interface, 2(4), 413-424. https://doi.org/10.4310/sii.2009.v2.n4.a3
Petkova, Eva, and Tarpey, Thaddeus. "Partitioning of Functional Data for Understanding Heterogeneity in Psychiatric Conditions." Statistics and its interface vol. 2,4 (2009): 413-424. doi: https://doi.org/10.4310/sii.2009.v2.n4.a3
Petkova E, Tarpey T. Partitioning of Functional Data for Understanding Heterogeneity in Psychiatric Conditions. Stat Interface. 2009 Jan 01;2(4):413-424. doi: 10.4310/sii.2009.v2.n4.a3. PMID: 20336166; PMCID: PMC2844078.
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Latent Regression Analysis.

Statistical modelling

Tarpey T, Petkova E.
PMID: 20625443
Stat Modelling. 2010 Jul 01;10(2):133-158. doi: 10.1177/1471082X0801000202.

Finite mixture models have come to play a very prominent role in modelling data. The finite mixture model is predicated on the assumption that distinct latent groups exist in the population. The finite mixture model therefore is based on...

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Tarpey T, Petkova E. Latent Regression Analysis. Stat Modelling. 2010;10(2):133-158doi: 10.1177/1471082X0801000202.
Tarpey, T., & Petkova, E. (2010). Latent Regression Analysis. Statistical modelling, 10(2), 133-158. https://doi.org/10.1177/1471082X0801000202
Tarpey, Thaddeus, and Petkova, Eva. "Latent Regression Analysis." Statistical modelling vol. 10,2 (2010): 133-158. doi: https://doi.org/10.1177/1471082X0801000202
Tarpey T, Petkova E. Latent Regression Analysis. Stat Modelling. 2010 Jul 01;10(2):133-158. doi: 10.1177/1471082X0801000202. PMID: 20625443; PMCID: PMC2897159.
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A reappraisal of the u.s. Clinical trials of post-treatment lyme disease syndrome.

The open neurology journal

Fallon BA, Petkova E, Keilp JG, Britton CB.
PMID: 23091568
Open Neurol J. 2012;6:79-87. doi: 10.2174/1874205X01206010079. Epub 2012 Oct 05.

UNLABELLED: Four federally funded randomized placebo-controlled treatment trials of post-treatment Lyme syndrome in the United States have been conducted. Most international treatment guidelines summarize these trials as having shown no acute or sustained benefit to repeated antibiotic therapy. The...

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Fallon BA, Petkova E, Keilp JG, et al. A reappraisal of the u.s. Clinical trials of post-treatment lyme disease syndrome. Open Neurol J. 2012;6:79-87doi: 10.2174/1874205X01206010079.
Fallon, B. A., Petkova, E., Keilp, J. G., & Britton, C. B. (2012). A reappraisal of the u.s. Clinical trials of post-treatment lyme disease syndrome. The open neurology journal, 679-87. https://doi.org/10.2174/1874205X01206010079
Fallon, Brian A, et al. "A reappraisal of the u.s. Clinical trials of post-treatment lyme disease syndrome." The open neurology journal vol. 6 (2012): 79-87. doi: https://doi.org/10.2174/1874205X01206010079
Fallon BA, Petkova E, Keilp JG, Britton CB. A reappraisal of the u.s. Clinical trials of post-treatment lyme disease syndrome. Open Neurol J. 2012;6:79-87. doi: 10.2174/1874205X01206010079. Epub 2012 Oct 05. PMID: 23091568; PMCID: PMC3474942.
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(1-3)-β-D-Glucan vs Galactomannan Antigen in Diagnosing Invasive Fungal Infections (IFIs).

The open microbiology journal

Fontana C, Gaziano R, Favaro M, Casalinuovo Ia, Pistoia E, Di Francesco P.
PMID: 22942923
Open Microbiol J. 2012;6:70-3. doi: 10.2174/1874285801206010070. Epub 2012 Aug 24.

Invasive fungal infections (IFIs) are serious and often life-threatening complications in patients with haematological malignancies. Early diagnosis and the initiation of efficacious antifungal treatments could affect the prognosis of these patients. The detection of (1-3)-β-D-Glucan (BDG) could be a...

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Fontana C, Gaziano R, Favaro M, et al. (1-3)-β-D-Glucan vs Galactomannan Antigen in Diagnosing Invasive Fungal Infections (IFIs). Open Microbiol J. 2012;6:70-3doi: 10.2174/1874285801206010070.
Fontana, C., Gaziano, R., Favaro, M., Casalinuovo, I. a., Pistoia, E., & Di Francesco, P. (2012). (1-3)-β-D-Glucan vs Galactomannan Antigen in Diagnosing Invasive Fungal Infections (IFIs). The open microbiology journal, 670-3. https://doi.org/10.2174/1874285801206010070
Fontana, C, et al. "(1-3)-β-D-Glucan vs Galactomannan Antigen in Diagnosing Invasive Fungal Infections (IFIs)." The open microbiology journal vol. 6 (2012): 70-3. doi: https://doi.org/10.2174/1874285801206010070
Fontana C, Gaziano R, Favaro M, Casalinuovo Ia, Pistoia E, Di Francesco P. (1-3)-β-D-Glucan vs Galactomannan Antigen in Diagnosing Invasive Fungal Infections (IFIs). Open Microbiol J. 2012;6:70-3. doi: 10.2174/1874285801206010070. Epub 2012 Aug 24. PMID: 22942923; PMCID: PMC3431562.
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Persistence of Arcobacter butzleri CCUG 30484 on plastic, stainless steel and glass surfaces.

Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]

Cervenka L, Kristlova J, Peskova I, Vytrasova J, Pejchalova M, Brozkova I.
PMID: 24031258
Braz J Microbiol. 2008 Jul;39(3):517-20. doi: 10.1590/S1517-838220080003000021. Epub 2008 Sep 01.

The persistence of A. butzleri CCUG 30484 on various surfaces under 32% and 64% relative humidity suspended in physiological saline or nutrient broth to simulate relatively clean or soiled conditions was studied using various isolation techniques. Our study revealed...

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Cervenka L, Kristlova J, Peskova I, et al. Persistence of Arcobacter butzleri CCUG 30484 on plastic, stainless steel and glass surfaces. Braz J Microbiol. 2008;39(3):517-20doi: 10.1590/S1517-838220080003000021.
Cervenka, L., Kristlova, J., Peskova, I., Vytrasova, J., Pejchalova, M., & Brozkova, I. (2008). Persistence of Arcobacter butzleri CCUG 30484 on plastic, stainless steel and glass surfaces. Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 39(3), 517-20. https://doi.org/10.1590/S1517-838220080003000021
Cervenka, Libor, et al. "Persistence of Arcobacter butzleri CCUG 30484 on plastic, stainless steel and glass surfaces." Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] vol. 39,3 (2008): 517-20. doi: https://doi.org/10.1590/S1517-838220080003000021
Cervenka L, Kristlova J, Peskova I, Vytrasova J, Pejchalova M, Brozkova I. Persistence of Arcobacter butzleri CCUG 30484 on plastic, stainless steel and glass surfaces. Braz J Microbiol. 2008 Jul;39(3):517-20. doi: 10.1590/S1517-838220080003000021. Epub 2008 Sep 01. PMID: 24031258; PMCID: PMC3768424.
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Spin waves at the interface between two antiferromagnets.

Physical review. B, Condensed matter

Mata GJ, Pestana E.
PMID: 9994611
Phys Rev B Condens Matter. 1990 Jul 01;42(1):885-891. doi: 10.1103/physrevb.42.885.

No abstract available.

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Mata GJ, Pestana E. Spin waves at the interface between two antiferromagnets. Phys Rev B Condens Matter. 1990;42(1):885-891doi: 10.1103/physrevb.42.885.
Mata, G. J., & Pestana, E. (1990). Spin waves at the interface between two antiferromagnets. Physical review. B, Condensed matter, 42(1), 885-891. https://doi.org/10.1103/physrevb.42.885
Mata, and Pestana. "Spin waves at the interface between two antiferromagnets." Physical review. B, Condensed matter vol. 42,1 (1990): 885-891. doi: https://doi.org/10.1103/physrevb.42.885
Mata GJ, Pestana E. Spin waves at the interface between two antiferromagnets. Phys Rev B Condens Matter. 1990 Jul 01;42(1):885-891. doi: 10.1103/physrevb.42.885. PMID: 9994611.
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Showing 1 to 12 of 193 entries