• In the United States, race and socioeconomic status (SES) are risk factors for cardiovascular disease, and Black residents and those of lower SES have higher rates of HBP (14-16). (cdc.gov)
  • Such a change may result from the changing proportion of individuals in each education category over time, a trend toward increasing mortality differentials by socioeconomic status, or a combination of the two. (ssa.gov)
  • Other factors that may change the pattern of oral epithelial maturation are oral hygiene status and socioeconomic factors, since they have been suggested as risk factors for the development of oral cancer 8-9 . (bvsalud.org)
  • ABSTRACT This study aimed to evaluate the health-related quality of life (HRQOL) of Emirati people with diabetes and to explore the sociodemographic and disease-related variables affecting it. (who.int)
  • The explanatory variables were grouped into the following domains: sociodemographic, social determinants, self-rated health, and self-reported diseases. (scielosp.org)
  • Sociodemographic and behavioral variables were collected from a structured questionnaire. (bvsalud.org)
  • Thus, the aim of this study was to evaluate the influence of the oral health status, sociodemographic and behavioral factors on the maturation pattern of normal oral mucosa applying multivariate models. (bvsalud.org)
  • Last, we subject our results to various robustness tests as suggested by Sherk (2015) regarding choice of specific explanatory variables. (epi.org)
  • LITERATURE REVIEW In order to correctly specify which explanatory variables are most likely to affect an individual's Propensity to vote, a review of the appropriate theoretical empirical literature must be conducted. (slideshare.net)
  • Height, weight and socio-demographic variables were assessed. (biomedcentral.com)
  • To evaluate the association between oral health status, socio-demographic and behavioral factors with the pattern of maturity of normal epithelial oral mucosa. (bvsalud.org)
  • number of sick leave days taken in the past year was the variable of interest in logistic regression models where the effects of age, marital status, work task, work schedule, work section, and duration of work in factory and work section were also explored. (bmj.com)
  • In the adjusted multiple logistic regression model, race and marital status were associated with incorrect answers to bogus item questions after controlling for all other covariates. (health.mil)
  • In an adjusted multiple logistic regression model, race (Black) and marital status (other) were associated with bogus item passage. (health.mil)
  • Logistic regression results indicate that controlling for current age, year of birth, education, marital status in 1973, and race, men who retire early die sooner than men who retire at age 65 or older. (ssa.gov)
  • Lately, I have been studying about Logistic Regression, and I came across a question on how to handle categorical variable (as opposed to numerical ones). (stackexchange.com)
  • An exploratory analysis of the association between the variable "risky sexual behavior" and the other variables was performed using Pearson's chi-square, followed by a multivariate logistic regression analysis. (biomedcentral.com)
  • After analyzing the variables with the presence or absence of risky sexual behavior, were included in the logistic regression the data that presented association with sexual risk behavior, and age appears as an independent factor for risky sexual behaviors. (biomedcentral.com)
  • We analyzed the independent effect of all variables on opioid/non-opioid analgesic consumption by using logistic multivariate regressions. (bvsalud.org)
  • Why do we create dummy variables for categorical variables? (kooloader.com)
  • How many dummy variables are required to represent the categorical variable? (kooloader.com)
  • I know most textbooks say that when you're dummy encoding a categorical variable with k levels, you should only make k-1 dummy variables, since otherwise you'll get a collinearity with the constant. (kooloader.com)
  • What are dummy variables examples? (kooloader.com)
  • Dummy variables are useful because they enable us to use a single regression equation to represent multiple groups. (kooloader.com)
  • The dummy variables act like 'switches' that turn various parameters on and off in an equation. (kooloader.com)
  • Technically, dummy variables are dichotomous, quantitative variables. (kooloader.com)
  • How do you convert categorical variables to dummy variables? (kooloader.com)
  • To convert your categorical variables to dummy variables in Python you c an use Pandas get_dummies() method. (kooloader.com)
  • For example, if you have the categorical variable "Gender" in your dataframe called "df" you can use the following code to make dummy variables: df_dc = pd. (kooloader.com)
  • What is the purpose of dummy variables? (kooloader.com)
  • You need to use dummy variables (aka indicator variables). (kooloader.com)
  • What is the difference between categorical and dummy variables? (kooloader.com)
  • When should you create dummy variables? (kooloader.com)
  • If you have a nominal variable that has more than two levels, you need to create multiple dummy variables to "take the place of" the original nominal variable. (kooloader.com)
  • Are dummy variables categorical? (kooloader.com)
  • What are dummy variables used for in regression? (kooloader.com)
  • I represent early retirees by four dummy variables representing age of entitlement to Social Security benefits-exactly age 62 to less than 62 years and 3 months (referred to as exactly age 62 in this paper), age 62 and 3 months to 62 and 11 months, age 63, and age 64. (ssa.gov)
  • Two new variables were released in the 2011-2012 demographic file to denote whether the participant had served on active duty in the U.S. Armed Forces (DMQMILIZ), and for those who had, the second was to denote whether the participant had ever served in a foreign country during a time of armed conflict or on a humanitarian or peace-keeping mission (DMQADFC). (cdc.gov)
  • Disclosure risks and issues pertaining to confidentiality protection prevent NCHS from releasing all of the NHANES demographic variables publicly. (cdc.gov)
  • The target age groups for demographic variables in this file vary by the topic. (cdc.gov)
  • We investigate social inequalities in the association between daily temperatures and mortality in summer in the city of Turin for the period 1982-2018 among different social and demographic groups such as sex, age, educational level, marital status and household occupants. (biomedcentral.com)
  • Sometimes called a discrete variable, it is mainly classified into two (nominal and ordinal). (kooloader.com)
  • More precisely, I have modeled the continuous variable Y as a function of another continuous variable X and a discrete variable called GENDER. (stackexchange.com)
  • For that, we can describe numeric variables as either continuous or discrete. (neuraldesigner.com)
  • A dummy variable is a numerical variable used in regression analysis to represent subgroups of the sample in your study. (kooloader.com)
  • In this post, we describe the different types of variables (numerical, categorical, etc.) and their possible uses within a model (input, target, etc. (neuraldesigner.com)
  • Conclusions find that the majority of variables follow the same trend as the researched suggested, with those that do not being explained why. (slideshare.net)
  • When physical activity measures for all four ages were entered into a single model and adjusted for variables such as age, education, marital status, diabetes, hypertension, depressive symptoms, smoking, and BMI, only teenage physical activity status remained significantly associated with cognitive performance in old age. (stanford.edu)
  • A dummy variable (aka, an indicator variable) is a numeric variable that represents categorical data, such as gender, race, political affiliation, etc. (kooloader.com)
  • Categorical variables require special attention in regression analysis because, unlike dichotomous or continuous variables, they cannot by entered into the regression equation just as they are. (kooloader.com)
  • Suppose that there are two continuous variables $X$ and $Y$ , and a group variable called $\rm GENDER$ that is equal to 1 for men and equal to 0 for women. (stackexchange.com)
  • Instead, they need to be recoded into a series of variables which can then be entered into the regression model. (kooloader.com)
  • From here, each variables affect and significance can be analysed from the regression model. (slideshare.net)
  • So I have the coefficients for males and females and single, married and other. (stackexchange.com)
  • No significant differences for all studied variables influenced the pattern of maturation of the oral mucosa except for alcohol consumption. (bvsalud.org)
  • My main independent variable is a dichotomous, moderator is the Race variable (Hispanics, Non-Hispanic Black, Non-Hispanic Asian and Non-Hispanic White (ref)) and outcome is also a dichotomous. (researchgate.net)
  • From here, previously used variables will be used to formulate a logit model regression with the dependent variable being whether or not the respondent voted. (slideshare.net)
  • Estimates of mortality risk for 'early' retirees are lowered when higher-risk age 62 retirees are combined with age 63 and age 64 retirees and when age 62 retirees are compared with a reference variable of age 63 and older retirees. (ssa.gov)
  • The relationship between RTW status and wages remains economically and statistically significant under alternative specifications of our econometric model. (epi.org)
  • Treating cigarette consumption as a latent variable, I employ an econometric procedure that corrects for non-random sample selection, or the fact that some non-smokers might have smoked at a low enough price, and estimate the price elasticity of cigarette consumption by income group. (bmj.com)
  • Econometric models may benefit by classifying early retirees by single year of retirement age-or at least separating age 62 retirees from age 63 and age 64 retirees and age 63 and age 64 retirees from age 65 and older retirees-if single-year breakdowns are not possible. (ssa.gov)
  • Three factors significantly influenced the total HRQOL: presence of diabetes complications, duration of diabetes and marital status. (who.int)
  • Duration of diabetes did not influence the psychological domain and marital status did not influence the physical and psychological domains. (who.int)
  • I am testing the correlation between Variable A and Variable B by gender and marital status. (stackexchange.com)
  • Positive effect modifiers for improvement in SRH and QoL over time include male gender, younger age, low level of social support and illegal status in transit country. (biomedcentral.com)
  • I have 'patient' level data that has a persons death status, age, and gender. (stackexchange.com)
  • We examined the effect modification of perceptions of park access (having a neighborhood park, not having a neighborhood park, or having a neighborhood park but not comfortable visiting it) and HBP by race, education, and poverty status. (cdc.gov)
  • How to do a moderation using Race variable? (researchgate.net)
  • I have created the race categories into dummy variable except the reference group. (researchgate.net)
  • Your race variable is multi-categorical. (researchgate.net)
  • Race, religion, and age appear to be the most influential variables in homogamy. (dukeupress.edu)
  • Therefore a new variable (RIDRETH3) is included to describe the participant's race and Hispanic origin. (cdc.gov)
  • Use of any contraceptive method varied by age, marital or cohabiting status, and Hispanic origin and race. (cdc.gov)
  • See Definitions on Hispanic origin and race for more details on single and multiple-race coding. (cdc.gov)
  • Input variables: # bank client data: 1 - age (numeric) 2 - job : type of job (categorical: "admin. (uci.edu)
  • e) Variables that related only to data processing and collection such as interview number, etc., were excluded. (cdc.gov)
  • The data on marital status and marital history were derived from answers to Questions 20 through 23. (socialexplorer.com)
  • The marital history data enables multiple agencies to more accurately measure the effects of federal and state policies and programs that focus on the well-being of families. (socialexplorer.com)
  • Marital history data can provide estimates of marriage and divorce rates and duration, as well as flows into and out of marriage. (socialexplorer.com)
  • By indicating what variables are most relevant in causing voter turnout through research, variables from the 2012 European Social Survey data set are able to be chosen to formulate a regression. (slideshare.net)
  • Marital status at the time of admission or outpatient service (MaritalStatus) is retained as provided by the data source. (ahrq.gov)
  • Beginning with data year 2008, MaritalStatus was replaced with MaritalStatusUB04. (ahrq.gov)
  • In machine learning, the variables are the columns of the data matrix. (neuraldesigner.com)
  • A variable is a vector $v in {R}^{p}$, where $p$ is the number of samples in the data set. (neuraldesigner.com)
  • We can categorize variables according to the type of data or their use in the model. (neuraldesigner.com)
  • We do not need to treat numeric variables before including them in the data matrix since they are already actual values. (neuraldesigner.com)
  • Constant variables are those columns in the data matrix that always have the same value. (neuraldesigner.com)
  • Regression results also indicate that the composition of the early retirement variable matters. (ssa.gov)
  • Wafer polishing and parts assembly workers face higher odds of taking sick leave within the past year, even after adjusting for age, marital status, work schedule, and duration of working in the factory. (bmj.com)
  • Semiconductor workers who complain of working in conditions of poor ventilation and of smelling chemicals, face higher odds of taking sick leave within the past year, even after adjusting for age, marital status, work schedule, and duration of working in the factory. (bmj.com)
  • Marital status was strongly linked to the taking of sick leave. (bmj.com)
  • However, there are individual differences in depression course (i.e., single episodes vs. recurrent episodes), type, and severity. (biomedcentral.com)
  • Presence of complications was the most powerful variable influencing the 4 domains of HRQOL, especially the physical domain. (who.int)
  • A dummy variable is a variable that takes values of 0 and 1, where the values indicate the presence or absence of something (e.g., a 0 may indicate a placebo and 1 may indicate a drug). (kooloader.com)
  • These limitations make clear why causal impacts of RTW laws are hard to estimate, but one can legitimately take a cross-sectional approach and look at the correlation of RTW status and wages after controlling for a range of other influences that could impact state-level wages. (epi.org)
  • Ordinal variables are those in which we can establish a precise order. (neuraldesigner.com)
  • Do you want to show that the (linear) relationship between a variable A and a variable B is stronger for one group than for another? (stackexchange.com)
  • These variables and the sample weights are necessary for the calculation of variances. (cdc.gov)
  • Abnormal uterine findings were de Recherche et d'Application en identified in 95.8% of patients attending hysteroscopy at GESHRTH. (who.int)
  • How do I compare correlation coefficients of the same variables across different groups? (stackexchange.com)
  • Similarly, I want to compare the correlation coefficient of single with marrried and with other. (stackexchange.com)
  • 4-fold higher for a particular Bartonella / Rickettsia final TGR model contained 5 variables of which 3 were spp. (cdc.gov)
  • To include it in a single model as suggested by David L Morgan , it should be represented with k - 1 variables through dummy coding, where k is the number of categories or levels. (researchgate.net)
  • These variables are not included in the model. (neuraldesigner.com)
  • Matthew Bittle 13833677 Abstract An analyse that presents research behind the determinants of voting, and relates discovered variables to Netherlands and Portugal's. (slideshare.net)
  • Below, we describe each of these six types of variables. (neuraldesigner.com)
  • Numeric variables have values that describe a measurable quantity as a number, like 'how many' or 'how much. (neuraldesigner.com)
  • c) Information on a given variable being available for at least 8 years. (cdc.gov)
  • Beginning in 2008, the question on marital status was asked only for people 15 years old and over. (socialexplorer.com)
  • Similar to previous release cycles, the 2011-2012 demographics file includes a variable for age in years at screening (RIDAGEYR) for all participants. (cdc.gov)
  • A new variable has been added to denote the age in years at examination (RIDEXAGY) for participants aged 2 to 19 years. (cdc.gov)
  • Three new variables were included in the 2011-2012 NHANES demographics file to report more detailed information on participants' household composition: DMDHHSZA (number of children aged 5 years or younger in the household), DMDHHSZB (number of children aged 6-17 years old in the household), and DMDHHSZE (number of adults aged 60 years or older in the household). (cdc.gov)
  • To determine the relation between sick leave and selected exposure variables among women semiconductor workers. (bmj.com)
  • Many government programs need accurate information on marital status, such as the number of married women in the labor force, elderly widowed individuals, or young single people who may establish homes of their own. (socialexplorer.com)
  • It includes a 'core' set of questions on health-related variables which change little from year-to-year and supplements which can vary annually. (cdc.gov)
  • What I am predicting is whether or not a separate variable ever changes from a zero to a 1 in a year from the observation date. (stackexchange.com)
  • The response variable was the self-perception of noise, investigated by the question: "In your neighborhood, does the noise bother you? (scielosp.org)
  • The marital status question is asked to determine the status of the person at the time of interview. (socialexplorer.com)
  • Before 2008, the marital status question was asked of all people. (socialexplorer.com)
  • DMQMLIZ replaces the veteran status question (DMQMILIT) collected in previous NHANES cycles that asked if the participant had served in the Armed Forces of the U.S. Additional information for these veterans is available through the NCHS RDC . (cdc.gov)
  • Adherence rates, main coping strategies, and frequency and contents of single coping strategies. (ons.org)
  • The main outcomes were good SRH measured by a single validated item and QoL measured by WHOQOL-BREF. (biomedcentral.com)
  • A categorical variable is a variable type with two or more categories. (kooloader.com)
  • RECORD LAYOUT Personal Information Record Positions 1-50 RECORD NAME OF VARIABLE POSITION RANGE DECODE Type of PSU 1 0-6 0 = The 31 Large Self- representing SMSA's 1 = SMSA - Self representing 3 = SMSA - Nonself-representing 4 = Non-SMSA - Self-representing 6 = Non-SMSA - Nonself- representing NOTE: Before 1973 definition included only 22 SMSA's. (cdc.gov)
  • Ces vingt dernières années, on assiste à une augmentation spectaculaire du nombre de cas de diabète de type 1 avec une mortalité plus élevée en Afrique Noire en lien avec les difficultés d'accès aux soins, à la rupture de suivi engendrant un nombre élevé de perdus de vue. (bvsalud.org)
  • Note: As mentioned above, creating a dummy variable for every category of the categorical independent variable is beneficial for two reasons: (a) it is more flexible and (b) it allows multiple comparisons to be made. (kooloader.com)
  • In machine learning, a variable refers to a feature or attribute used as input for training and making predictions. (neuraldesigner.com)
  • I am trying to make predictions on a dummy variable. (stackexchange.com)
  • The indicator variables code the input on a 0 or 1 scale for each level of the categorical variable, except for one which is considered the base level. (kooloader.com)
  • d) Variable selected only once, though parallel entries exist on the input files that were merged. (cdc.gov)
  • There are several variables with new categories in the 2011-2012 demographics file. (cdc.gov)
  • The variables with updated categories are: the survey participant's country of birth (DMDHRBR4), and the language used for the audio-computer-assisted self-interview. (cdc.gov)
  • After one-hot encoding, the number of resulting variables is the number of categories. (neuraldesigner.com)
  • They are also the main source of disease burden (14%), with neuropsychiatric disorders being the single largest contributor, mostly due to the chronically disabling nature of mental disorders. (scielo.br)
  • In this encoding, each category of any categorical variable receives a new variable. (neuraldesigner.com)
  • Other studies have introduced variables such as seniors' economic situation or educational level. (revistacomunicar.com)
  • Second, those who select widowed mates tend to be older than those who select divorced mates, and those with single mates tend to be youngest. (dukeupress.edu)
  • The reference variable is men taking benefits at age 65 or older. (ssa.gov)