#data analysis regression modeling

This blog is an example on how a regression model problem is set up. These general steps help describe data management steps to others coherently. 

Sample

The sample is from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), that is designed to determine the magnitude of alcohol use and psychiatric disorders in the U.S. population. With participants (N=43,093) from various ethnic backgrounds to various statuses of living. Moreover, its oversampling of Blacks and Hispanics as well as the inclusion of Hawaii and Alaska in its sampling frame yielded enough minority respondents to make NESARC an ideal vehicle for addressing the critical issue of race and/or ethnic disparities in comorbidity and access to health care services. This study includes data analytic sample of participants 18+ years old who drank atleast 1 alcohol drink in the span of one year. (N=1843)  

Procedure

Data were collected in face-to-face, computer-assisted personal interviews conducted in respondents’ homes. The NESARC response rate was 81 percent. Respondents who consented to participate after receiving this information were interviewed. The unprecedented sample size of NESARC (n = 43,093) made it possible to achieve stable estimates of even rare conditions. Moreover, its oversampling of Blacks and Hispanics as well as the inclusion of Hawaii and Alaska in its sampling frame yielded enough minority respondents to make NESARC an ideal vehicle for addressing the critical issue of race and/or ethnic disparities in comorbidity and access to health care services. The research protocol, including informed-consent procedures, received full ethical review and approval from the U.S. Census Bureau and the U.S. Office of Management and Budget.

 Measures

Generalized Anxiety (i.e those experienced in past 12 months and prior to the past 12 months) was assessed. NESARC’s diagnostic classifications were based on the Alcohol Use Disorder and Associated Disability Interview Schedule–DSM–IV Version (AUDADIS– IV), a state-of-the-art, semi structured diagnostic interview schedule designed for use by lay interviewers. The reliability and validity of this instrument have been documented in a wide range of international settings, using both general population and clinical samples. In the current study, the alcohol consumption status was evaluated through both drinking quantity and drinking frequency coded dichotomously to represent presence and absence of alcohol abuse/dependence. Where drinking quantity denotes number of drinks consumed at a single sitting and drinking frequency denotes number of days an individual has consumed alcohol. The quantitative variable in this case was number of drinks ranging from 1 to 98 drinks.

In summary

Explanatory Variable: Drinking frequency (Quantitative)

Drinking quantity (Quantitative) with alcohol abuse/dependence (Categorical)

Response Variable:

Generalized Anxiety (Categorical)

  Data Used: