Topics (22) View all

Questions and Answers (30) View all

  • Answer added in Multivariate Regression
    3 Variable selection and multivariable logistic regression model determination
    By Yu Liu · Vanderbilt University
    Susie Ramisetty-Mikler · University of North Texas HSC at Fort Worth
    From the literature you have some knowledge of main potential risk factors and covariates. It is important to first test for confounders and effect me... [more]
  • Answer added in Quantitative Research
    3 Is anyone conducting research on birth defects in India, particularly in South India?
    By Susie Ramisetty-Mikler · University of North Texas HSC at Fort Worth
    Susie Ramisetty-Mikler · University of North Texas HSC at Fort Worth
    Thank you for you for the information. 
  • Answer added in Questionnaire Design
    3 Should demographic questionnaires be placed at the beginning of a study protocol (after informed consent) or after the main measures?
    By Terry Chi · Northwestern College
    Susie Ramisetty-Mikler · University of North Texas HSC at Fort Worth
    Hi Terry, I was also trained to put them right a the beginning. Over the years in my survey research experience I learned that I can also use simple o... [more]
  • Answer added in Statistical Software
    17 Which statistical test is appropriate to study the risk factor of a disease?
    By Fahmi Khan · Hamad Medical Corporation
    Susie Ramisetty-Mikler · University of North Texas HSC at Fort Worth
    Since your outcome variable - developing pneumonia or not is a binary variable you will estimate odds ratios using logistic regression. Make sure you ... [more]
  • Answer added in Quality of Life Research
    89 What validated outcome measure or questionnaire could be used to assess the quality of life in the general population?
    By Xavier Boeynaems · University College Dublin
    Susie Ramisetty-Mikler · University of North Texas HSC at Fort Worth
    Hi, I just want to mention one more source: http://www.cdc.gov/hrqol/methods.htm#4 see this link to CDC. They have a short questionnaire CDC HRQOL�... [more]

Publications (38) View all

  • Article: Intimate Partner Violence Victim and Perpetrator Characteristics Among Couples in the United States
    Raul Caetano, Patrice A. C. Vaeth, Suhasini Ramisetty-Mikler
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    ABSTRACT: This paper describes the characteristics (sociodemographic, drinking and selected psychological attributes) of victims, perpetrators and those who engage in mutual intimate partner violence (IPV) among couples in the U.S. Subjects constitute a multistage area probability sample representative of married and cohabiting couples from the 48 contiguous United States. Results indicate that age is the only variable that appears to have a consistent effect for men and women and across violence-related statuses: Older individuals are less likely to be victims, perpetrators and less likely to be involved in mutually violent relationships. Other variables such as ethnicity, marital status, drinking, impulsivity, depression and powerlessness are either gender or status-specific in their ability to predict victimization, perpetration or victimization/perpetration. Overall, those involved in violent relationships do not appear to be very different from those not involved in violent relationships. The most likely reason for lack of this difference is the nature of IPV in general population samples, which is in most cases moderate.
    Journal of Family Violence 04/2012; 23(6):507-518. · 1.17 Impact Factor
  • Article: Decisions under uncertainty: a computational framework for quantification of policies addressing infectious disease epidemics
    Armin R. Mikler, Sangeeta Venkatachalam, Suhasini Ramisetty-Mikler
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    ABSTRACT: Emerging infectious diseases continue to place a strain on the welfare of the population by decreasing the population’s general health and increasing the burden on public health infrastructure. This paper addresses these issues through the development of a computational framework for modeling and simulating infectious disease outbreaks in a specific geographic region facilitating the quantification of public health policy decisions. Effectively modeling and simulating past epidemics to project current or future disease outbreaks will lead to improved control and intervention policies and disaster preparedness. In this paper, we introduce a computational framework that brings together spatio–temporal geography and population demographics with specific disease pathology in a novel simulation paradigm termed, global stochastic field simulation (GSFS). The primary aim of this simulation paradigm is to facilitate intelligent what-if-analysis in the event of health crisis, such as an influenza pandemic. The dynamics of any epidemic are intrinsically related to a region’s spatio–temporal characteristics and demographic composition and as such, must be considered when developing infectious disease control and intervention strategies. Similarly, comparison of past and current epidemics must include demographic changes into any effective public health policy for control and intervention strategies. GSFS is a hybrid approach to modeling, implicitly combining agent-based modeling with the cellular automata paradigm. Specifically, GSFS is a computational framework that will facilitate the effective identification of risk groups in the population and determine adequate points of control, leading to more effective surveillance and control of infectious diseases epidemics. The analysis of past disease outbreaks in a given population and the projection of current or future epidemics constitutes a significant challenge to Public Health. The corresponding design of computational models and the simulation that facilitates epidemiologists’ understanding of the manifestation of diseases represents a challenge to computer and mathematical sciences.
    Stochastic Environmental Research and Risk Assessment 04/2012; 21(5):533-543. · 1.52 Impact Factor
  • Article: Alcohol/drug exposure, HIV-related sexual risk among urban American Indian and Alaska Native Youth: evidence from a national survey.
    Suhasini Ramisetty-Mikler, Malembe S Ebama
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    ABSTRACT: Migration of the native populations from reservations to the urban areas has resulted in mixed ethnicities of American Indian/Alaskan Native (AIAN) children. Minority youth require special attention and services in urban schools as they disproportionately experience poverty, low educational attainment, unemployment, and single-parent status. We used 2005 and 2007 Youth Risk Behavior Survey data to examine alcohol/drug use patterns and their association with sexual risk taking among AIAN only (single-racial) and biracial youth in combination with White, African American, or Hispanic ethnicities (N = 1178). Overall, one half of the students were sexually active, with significantly higher rates among males; AIAN-Black students initiated sex earlier than the other groups. Condom nonuse is higher among AIAN-Whites (>50%) compared to one third of AIAN-Hispanics and one fourth of AIAN-Blacks. Nearly 10% of all students, except AIAN-Blacks, reported lifetime use of heroin/meth. Sexual behavior was significantly associated with episodic drinking. Students with Hispanic background have twice the odds of being sexually active compared to AIANs. Our findings underscore growing health care needs and targeted prevention initiatives for mixed racial underserved native youth. Urban school settings have potential to deliver services and offer alcohol/drug prevention programs to address the needs of mixed racial native urban youth. Using the School Based Health Clinic model has been successful; we need to reform prevention approaches to accommodate needs of multiracial urban native youth.
    Journal of School Health 11/2011; 81(11):671-9. · 1.34 Impact Factor
  • Article: The dimensionality and measurement properties of alcohol outcome expectancies across Hispanic national groups.
    Britain Mills, Raul Caetano, Suhasini Ramisetty-Mikler, Ira H Bernstein
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    ABSTRACT: This study examines the psychometric properties of alcohol expectancies among Hispanic subgroups. Face-to-face interviews were conducted as part of the 2006 Hispanic Americans Baseline Alcohol Survey (HABLAS), which employed a multistage cluster sample design. A total of 5224 individuals (18+ years of age) representing four Hispanic national groups (Puerto Ricans, Cuban Americans, Mexican Americans, and South/Central Americans) were selected at random from the household population in five metropolitan areas (Miami, New York, Philadelphia, Houston, and Los Angeles). Alcohol expectancies included 18 items covering positive (e.g., laugh more, become more talkative) and negative dimensions (e.g., become aggressive, lose control) when alcohol is consumed. Confirmatory factor models replicated a previously proposed three-factor dimensional structure with a substantial majority of items exhibiting measurement invariance across Hispanic national group and gender. Items covering social extroversion were an exception, showing a lack of invariance for female Cuban and South/Central Americans. Latent mean differences across groups were detected for expectancies concerning emotional fluidity, and the pattern of differences largely mirrored known differences in alcohol consumption patterns. Results suggest that caution should be exercised in interpreting differences in expectancies concerning social extroversion across Hispanic groups, and additional work is needed to identify indices of this construct with invariant measurement properties. However, measures of emotional/behavioral impairment and emotional fluidity expectancies can be validly compared across gender and Hispanic national groups.
    Addictive behaviors 10/2011; 37(3):327-30. · 2.25 Impact Factor
  • Article: The Hispanic Americans Baseline Alcohol Survey (HABLAS): Alcohol consumption and sociodemographic predictors across Hispanic national groups
    Suhasini Ramisetty-Mikler, Raul Caetano, Lori A. Rodriguez
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    ABSTRACT: Objective: To examine differences in alcohol consumption among Hispanic national groups in the United States [Puerto Ricans, Mexican, Cuban, and Dominican South Central (D/SC) Americans] and identify sociodemographic predictors of drinking and binge drinking (four drinks for women and five for men in a 2-hr period). Method: The study used a household probability sample of adult Hispanics in five metropolitan areas in the United States. Comprehensive data on alcohol consumption were collected. Analyses included bivariate and multivariate regression techniques. Results: Puerto Rican and Mexican American men reported higher drinking rates, weekly consumption, and binge drinking than D/SC and Cuban Americans. Women drank significantly less than men. Mexican American women reported the highest abstention rate (61%); Puerto Rican women drank more per week and binged more frequently compared with their counterparts in other groups. Puerto Rican origin, initiating drinking during high school years (<18), and male gender (US- or foreign-born) were significant predictors of weekly alcohol consumption. Being younger, being single, Puerto Rican or D/SC American origin, initiating drinking at <18 years, being a US- or foreign-born male and being a US-born female were significant predictors of binge drinking. Conclusions: There are considerable differences in drinking behavior across Hispanic national groups as well as between men and women. Results underscore the need to recognize heterogeneity in drinking practices while designing effective prevention interventions in the community.
    11/2010; 15(6):402-416.

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