WorldCat Identities

Racz, Michael

Overview
Works: 12 works in 13 publications in 3 languages and 1,722 library holdings
Genres: Fiction  Fantasy fiction  Juvenile works  Literature  Science fiction  History  Space operas 
Roles: Author
Publication Timeline
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Most widely held works by Michael Racz
Born of shadows by Sherrilyn Kenyon( Book )

1 edition published in 2011 in English and held by 1,324 WorldCat member libraries worldwide

In the universe where the League is law, most live in fear. We fight back. Welcome to a world where corrupt assassination politics dominate everyone. It's kill or be killed. Caillen's destiny was to become the next generation of Dagan smugglers. Until fate intervenes. Suddenly, his life is not his own and his loyalties are split in a way he could have never imagined
The woods out back by R. A Salvatore( Book )

1 edition published in 1993 in English and held by 185 WorldCat member libraries worldwide

Bored with life after college, Gary Leger wanders into the woods behind his house and discovers a fantasy world peopled with elves, dwarves, witches, and dragons
The dragon's dagger by R. A Salvatore( Book )

1 edition published in 1994 in English and held by 176 WorldCat member libraries worldwide

The schizogenic man by Raymond Harris( Book )

1 edition published in 1990 in English and held by 23 WorldCat member libraries worldwide

The Roman Colosseum by Elizabeth Mann( Book )

2 editions published in 2006 in English and held by 2 WorldCat member libraries worldwide

Describes the building of the Colosseum in ancient Rome, and tells how it was used
Helen of Troy by Amy Bancroft( Book )

1 edition published in 1999 in English and held by 2 WorldCat member libraries worldwide

P-038 Differentiating Oral Mesalamine Adherence Patterns in Ulcerative Colitis Patients( )

1 edition published in 2016 in English and held by 1 WorldCat member library worldwide

Abstract : Background: Long-term adherence to mesalamine (5-ASA) is important for the prevention of relapse and for protection against suboptimal outcomes in patients with ulcerative colitis (UC). This study examines the association of baseline covariates with classification into 6 adherence subgroups. Methods: Longitudinal group-based trajectory modeling was used to identify subpopulations of patients with UC ( ICD-9 = 556.x) who have similar oral 5-ASA adherence patterns during a 12-month period following an initial oral 5-ASA (index) filling. Monthly adherence was measured using prescription claims from the Truven Health Marketscan Database. Covariates in a multinomial logistic regression model were used to identify significant predictors within each trajectory group. Predictor variables include age, sex, geographic region, rural residence, type of health plan, insurance type, mail-order status, comorbidities, prescription characteristics, and other UC treatments during the 6-month, pre-index period. Results: Initial models show that a 6-group trajectory model best fits the UC data over the 12-month observation period, which demonstrates high measured adherence, complete non-adherence, and 4 intermediate groups that shift across the study period. The most adherent group demonstrates over 80% Proportion of Days Covered (PDC) for each of the 12 months observed, and encompasses 15.3% of the sample. A sizeable group (23.4%) is mostly non-adherent for the study period, with an initial fill and then nearly no refilled prescriptions over the study period (group 6). The smallest group of 9.2% is likely adjusting their medication dosages as they continue to fill their prescriptions throughout the study period (group 3). Characteristics that significantly ( P <0.05) differentiate the group with the highest adherence from the group with the lowest adherence (reference group) include age, sex, geographic region, HMO insurance type, mail-order status, 30-day supply, less than a $20 copay, presence of cerebrovascular disease, once-daily 5-ASA (index fill), and non–immune modulator therapy during the pre-index period. Contrary to other published models, the total number of non–5-ASA fillings, rural residents, health plans, and 5-ASA copays (index fill) did not significantly differentiate the highest adherence group from the lowest. Conclusions: Group-based trajectory methods allow researchers to distinguish intermediate adherence subgroups that exist among people who might otherwise be labeled as non-adherent, and provides a more detailed representation of the ways in which patients are managing their medications. Adherence to 5-ASA treatment for UC patients is typically low, as demonstrated in prior studies, and is associated with increased flares, hospitalizations, emergency department visits, and missed work days. Using group-based trajectory modeling to assess long-term medication adherence for UC patients, we found that adherence to 5-ASA drugs is more complex. There are 6 underlying groups in our analysis that demonstrate that subgroups exist beyond simply "adherent" and "not-adherent." The intermediate groups represent patients who fluctuate between adherence and non-adherence over time. This work extends the methods for evaluating the heterogeneity of oral 5-ASA medication adherence among patients with UC. Further research is needed to understand which factors may be useful for guiding interventions that target enhancements for adherence in this population
P-038 Differentiating Oral Mesalamine Adherence Patterns in Ulcerative Colitis Patients( )

1 edition published in 2016 in English and held by 1 WorldCat member library worldwide

Abstract : Background: Long-term adherence to mesalamine (5-ASA) is important for the prevention of relapse and for protection against suboptimal outcomes in patients with ulcerative colitis (UC). This study examines the association of baseline covariates with classification into 6 adherence subgroups. Methods: Longitudinal group-based trajectory modeling was used to identify subpopulations of patients with UC (ICD-9 = 556.x) who have similar oral 5-ASA adherence patterns during a 12-month period following an initial oral 5-ASA (index) filling. Monthly adherence was measured using prescription claims from the Truven Health Marketscan Database. Covariates in a multinomial logistic regression model were used to identify significant predictors within each trajectory group. Predictor variables include age, sex, geographic region, rural residence, type of health plan, insurance type, mail-order status, comorbidities, prescription characteristics, and other UC treatments during the 6-month, pre-index period. Results: Initial models show that a 6-group trajectory model best fits the UC data over the 12-month observation period, which demonstrates high measured adherence, complete non-adherence, and 4 intermediate groups that shift across the study period. The most adherent group demonstrates over 80% Proportion of Days Covered (PDC) for each of the 12 months observed, and encompasses 15.3% of the sample. A sizeable group (23.4%) is mostly non-adherent for the study period, with an initial fill and then nearly no refilled prescriptions over the study period (group 6). The smallest group of 9.2% is likely adjusting their medication dosages as they continue to fill their prescriptions throughout the study period (group 3). Characteristics that significantly (P <0.05) differentiate the group with the highest adherence from the group with the lowest adherence (reference group) include age, sex, geographic region, HMO insurance type, mail-order status, 30-day supply, less than a $20 copay, presence of cerebrovascular disease, once-daily 5-ASA (index fill), and non-immune modulator therapy during the pre-index period. Contrary to other published models, the total number of non-5-ASA fillings, rural residents, health plans, and 5-ASA copays (index fill) did not significantly differentiate the highest adherence group from the lowest. Conclusions: Group-based trajectory methods allow researchers to distinguish intermediate adherence subgroups that exist among people who might otherwise be labeled as non-adherent, and provides a more detailed representation of the ways in which patients are managing their medications. Adherence to 5-ASA treatment for UC patients is typically low, as demonstrated in prior studies, and is associated with increased flares, hospitalizations, emergency department visits, and missed work days. Using group-based trajectory modeling to assess long-term medication adherence for UC patients, we found that adherence to 5-ASA drugs is more complex. There are 6 underlying groups in our analysis that demonstrate that subgroups exist beyond simply "adherent" and "not-adherent." The intermediate groups represent patients who fluctuate between adherence and non-adherence over time. This work extends the methods for evaluating the heterogeneity of oral 5-ASA medication adherence among patients with UC. Further research is needed to understand which factors may be useful for guiding interventions that target enhancements for adherence in this population
Bayesian predictive inference for a binary random variable : survey estimation of the quality of care that radiation therapy patients receive by Michael Racz( )

1 edition published in 1996 in English and held by 1 WorldCat member library worldwide

A' mi atyánk meg világosíttatása, mellyet [...] készített Doederlein Kristóf János D. Magyar nyelven ki adott Vátzi Sámuel by Johann Christoph Döderlein( Book )

1 edition published in 1794 in Hungarian and held by 1 WorldCat member library worldwide

InjectionCop Inferencing Custom Type Qualifiers by Michael Racz( )

1 edition published in 2015 in English and held by 1 WorldCat member library worldwide

 
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Born of shadows
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The woods out backThe dragon's daggerThe Roman Colosseum
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