126,393 research outputs found
Viktor Hamburger to N.H. Horowitz, December 31, 1948
No full textLetter of recommendation for Byron S. Wenger for working in Horowitz' laboratory.Typewritten carbon copy of original letter. Letter in poor condition.Correspondenc
[Letter to son regarding Horowitz family history /
No full textPhotocopy of letter written by Jitzchak Eisik Horowitz to his son on his wedding day (1840) describing the family ancestors, including the Vilna Gaon and rabbis from Worms, Strassburg, Krakow among others. Translated from the Hebrew in 1934 by Dr. M. N. Nathan, Rabbi of the Hamburg Jewish community, who certified the family letter was the possession of Maurice Ruebener.Ralph Ruebnerdigitize
Empirical validation of the Horowitz Multiple Systemic Infectious Disease Syndrome Questionnaire for suspected Lyme disease
No full textMaryalice Citera,1 Phyllis R Freeman,2 Richard I Horowitz2 1Department of Psychology, State University of New York at New Paltz, New Paltz, NY, 2Hudson Valley Healing Arts Center, Hyde Park, NY, USA Purpose: Lyme disease is spreading worldwide, with multiple Borrelia species causing a broad range of clinical symptoms that mimic other illnesses. A validated Lyme disease screening questionnaire would be clinically useful for both providers and patients. Three studies evaluated such a screening tool, namely the Horowitz Multiple Systemic Infectious Disease Syndrome (MSIDS) Questionnaire. The purpose was to see if the questionnaire could accurately distinguish between Lyme patients and healthy individuals.Methods: Study 1 examined the construct validity of the scale examining its factor structure and reliability of the questionnaire among 537 individuals being treated for Lyme disease. Study 2 involved an online sample of 999 participants, who self-identified as either healthy (N=217) or suffering from Lyme now (N=782) who completed the Horowitz MSIDS Questionnaire (HMQ) along with an outdoor activity survey. We examined convergent validity among components of the scale and evaluated discriminant validity with the Big Five personality characteristics. The third study compared a sample of 236 patients with confirmed Lyme disease with an online sample of 568 healthy individuals.Results: Factor analysis results identified six underlying latent dimensions; four of these overlapped with critical symptoms identified by Horowitz – neuropathy, cognitive dysfunction, musculoskeletal pain, and fatigue. The HMQ showed acceptable levels of internal reliability using Cronbach’s coefficient alpha and exhibited evidence of convergent and divergent validity. Components of the HMQ correlated more highly with each other than with unrelated traits.Discussion: The results consistently demonstrated that the HMQ accurately differentiated those with Lyme disease from healthy individuals. Three migratory pain survey items (persistent muscular pain, arthritic pain, and nerve pain/paresthesias) robustly identified individuals with verified Lyme disease. The results support the use of the HMQ as a valid, efficient, and low-cost screening tool for medical practitioners to decide if additional testing is warranted to distinguish between Lyme disease and other illnesses. Keywords: Lyme disease, Borrelia burgdorferi, Babesia, MSIDS, Multiple Systemic Infectious Disease Syndrome, factor analysis, PTLDS, Post-Treatment Lyme Disease Syndrom
Dynamic time series binary choice
No full textThis paper considers dynamic time series binary choice models. It shows in a time series setting the validity of the dynamic probit likelihood procedure when lags of the dependent binary variable are used as regressors, and it establishes the asymptotic validity of Horowitz' smoothed maximum score estimation of dynamic binary choice models with lags of the dependent variable as regressors. The latent error is explicitly allowed to be correlated. It turns out that no long-run variance estimator is needed for the validity of the smoothed maximum score procedure in the dynamic time series framework. One novel aspect of this paper is a proof that weak dependence properties hold for dynamic binary choice models with correlated errorsbinary choice; near epoch dependence; asymptotic theory; smoothed maximum score
Dynamic time series binary choice
No full textThis paper considers dynamic time series binary choice models. It proves near epoch dependence and strong mixing for the dynamic binary choice model with correlated errors. Using this result, it shows in a time series setting the validity of the dynamic probit likelihood procedure when lags of the dependent binary variable are used as regressors, and it establishes the asymptotic validity of Horowitz?smoothed maximum score estimation of dynamic binary choice models with lags of the dependent variable as regressors. For the semiparametric model, the latent error is explicitly allowed to be correlated. It turns out that no long-run variance estimator is needed for the validity of the smoothed maximum score procedure in the dynamic time series framework.
Replication Data for: Introducing the LEAD Data Set
No full textThis dataset includes the data and replication information necessary to replicate Cali M. Ellis, Michael C. Horowitz, and Allan C. Stam, “Introducing the LEAD Dataset.” International Interactions. 41:4 (2015), pp. 718-741. The Leader Experience and Attribute Descriptions (LEAD) data set provides a rich source of new information about the personal lives and experiences of over 2,000 state leaders from 1875–2004. For the first time, we can combine insights from psychology and human development with large-N data on interstate conflict for a new theory of leadership and interstate relations. The data set provides details about military experiences, childhood, education, personal and family life, and occupational history before leaders assumed power. The data are available in leader-year format and are compatible with existing tools for analysis such as EUGene (Bennett and Stam 2000). This research note discusses the motivation for the creation of the LEAD data set and discusses the coding decisions for most of the key variables. We provide a series of descriptive statistical illustrations of the data and illustrate the depth of the available information with cases from Latin American leaders, showing the durability of these personal experiences across space and time
Replication Data for: Introducing the LEAD Data Set
No full textThis dataset includes the data and replication information necessary to replicate Cali M. Ellis, Michael C. Horowitz, and Allan C. Stam, “Introducing the LEAD Dataset.” International Interactions. 41:4 (2015), pp. 718-741. The Leader Experience and Attribute Descriptions (LEAD) data set provides a rich source of new information about the personal lives and experiences of over 2,000 state leaders from 1875–2004. For the first time, we can combine insights from psychology and human development with large-N data on interstate conflict for a new theory of leadership and interstate relations. The data set provides details about military experiences, childhood, education, personal and family life, and occupational history before leaders assumed power. The data are available in leader-year format and are compatible with existing tools for analysis such as EUGene (Bennett and Stam 2000). This research note discusses the motivation for the creation of the LEAD data set and discusses the coding decisions for most of the key variables. We provide a series of descriptive statistical illustrations of the data and illustrate the depth of the available information with cases from Latin American leaders, showing the durability of these personal experiences across space and time
La recherche nord-américaine sur L’Astrée
No full textHorowitz Louise. La recherche nord-américaine sur L’Astrée. In: Cahiers de l'Association internationale des études francaises, 2008, n°60. pp. 257-269
A Reconsideration of the 'Eastern Sudan'
No full textHorowitz Michael M. A Reconsideration of the 'Eastern Sudan'. In: Cahiers d'études africaines, vol. 7, n°27, 1967. pp. 381-398
Goffman Turned to Me and Said With Some Surprise, “You like doing fieldwork?”
No full textDr. Ruth Horowitz, Professor of Sociology at the New York University, wrote this memoir at the invitation of Dmitri Shalin and gave her approval for posting the present version in the Erving Goffman Archives
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