PrevalenceSocio-demographicCorrelationStatistically significantLogistic regression modelsSociodemographicLongitudinal StudyPredictive0.01EquationsExamplesParametersVariabilityLassoModelDependent variableCoefficientsVarianceFactorsModelsPsychologicalInterceptClinicalSeverityCorrespondsTobaccoSpecifiesInteractionSpeciesDepressionWorkersIndependent variablesStudy aimedLevelStatisticalResultsSignificantMakeResponse variablesAccurateLinearSelectionVectorAssociationTestCharacteristicsHealth
Prevalence1
- Onoh I, Dairo MD, Balogun MS, Fawole O. Prevalence and Predictors of Tobacco Use Among Adolescents in Ibadan, Nigeria. (cdc.gov)
Socio-demographic3
- The socio-demographic variables explained 23.8% of the variance of the COVID-19 Anxiety (R 2 = .238). (edu.pe)
- Socio-demographic variables explained 50.5% of psychological well-being variance, 52% of anxiety and 46.9% of depression. (edu.pe)
- Multiple logistic regression was used to determine socio-demographic predictors of self-reported multimorbidity. (biomedcentral.com)
Correlation5
- Generally variable with highest correlation is a good predictor. (mysqlpreacher.com)
- If there is a strong correlation, we say the predictor variable has high predictive validity . (helpfulprofessor.com)
- Which data set to use to find correlation between Predictor and response variables? (stackexchange.com)
- I have a dataset with 4 predictor variables X1, X2, X3, X4, and one response variable Y. I have been asked to check the correlation between these variables and see how they are related and then use linear model to fit them. (stackexchange.com)
- ER- status is by far the most obvious and noticeable cal variables from gene expression data is complicated by subdivision of breast tumors based on gene expression a common correlation between ER- status and the clini- profiles. (lu.se)
Statistically significant2
- If your regression model contains independent variables that are statistically significant, a reasonably high R-squared value makes sense. (mysqlpreacher.com)
- Exercise and body mass index were not statistically significant predictors of MI in both males and females. (who.int)
Logistic regression models3
- We applied a least absolute shrinkage and selection operator to specific coccidioidomycosis predictors and developed univariable and multivariable logistic regression models. (cdc.gov)
- 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)
- Multivariate logistic regression models were created for each outcome variable. (cdc.gov)
Sociodemographic4
- To test for the possibility of bias in clinical decision-making, we examined the predictive efficiency of clinical, criminological, and sociodemographic variables in a sample of 468 criminal defendants referred for competency evaluations. (nih.gov)
- A Structural Equation Model (SEM) was estimated to test an a priori model that relates the sociodemographic variables, COVID-19 Anxiety, psychological well-being, anxiety and depression. (edu.pe)
- OBJECTIVE: To investigate sociodemographic, health and work environment factors as possible predictors of being active in working life at ages 66 and 72. (lu.se)
- Using a forward stepwise hierarchical approach, we assessed the relationship of sociodemographic variables, meal practices and working conditions and their relation to psychological distress. (cdc.gov)
Longitudinal Study1
- Intrinsic and extrinsic motivation as predictors of reading literacy: A longitudinal study. (springer.com)
Predictive2
- This paper compares the predictive ability of the factor models of Stock and Watson (2002) and Forni, Hallin, Lippi, and Reichlin (2005) using a large panel of US macroeconomic variables. (repec.org)
- The objective of the study was to investigate the predictive value of several personality and other psychological variables on antibody titers and fatigue following a specific viral infection. (huji.ac.il)
0.011
- 0.01) were positive predictors of rapid eye movement sleep latency. (medscape.com)
Equations1
- The equations describe the effects of the predictor variables on the quotient of the probability of a flower being in a category by the probability of a flower being in the reference category. (mathworks.com)
Examples2
- None of the examples they gave had an independent variable used as between or within subjects. (stackexchange.com)
- This allows scientists to examine the connection between many meaningful variables, such as exercise and health or personality type and depression, just to give a few examples. (helpfulprofessor.com)
Parameters4
- In statistics, the one in ten rule is a rule of thumb for how many predictor parameters can be estimated from data when doing regression analysis (in particular proportional hazards models in survival analysis and logistic regression) while keeping the risk of overfitting low. (mysqlpreacher.com)
- Appropriately centering Level 1 predictors is vital to the interpretation of intercept and slope parameters in multilevel models (MLMs). (elsevierpure.com)
- specifies the joint prior distribution of the parameters, the structure of the linear regression model, and the variable selection algorithm. (mathworks.com)
- The aim of the study was to examine the usefulness of echocardiographic parameters as predictors of in-hospital outcome in patients with ACS after percutaneous coronary intervention (PCI). (hindawi.com)
Variability2
- This variability may partly depend on psychological variables, which have long been thought to contribute to the predisposition, onset, and course of various physical illnesses, including infectious diseases. (huji.ac.il)
- This is because coarsening the resolution reduces variability within heterogeneous predictors and leads to underrepresentation of rare environments, which can lead to a decrease in model performance. (flograttarola.com)
Lasso1
- Construct the lasso fit by using 10-fold cross-validation with labeled predictor variables. (mathworks.com)
Model11
- What are predictors in a regression model? (mysqlpreacher.com)
- For example, if your model contains two predictors and the interaction term, you'll need 30-45 observations. (mysqlpreacher.com)
- Overfitting a model is a condition where a statistical model begins to describe the random error in the data rather than the relationships between variables. (mysqlpreacher.com)
- Display the variables in the model that corresponds to the minimum cross-validated mean squared error (MSE). (mathworks.com)
- Display the variables in the sparsest model within one standard error of the minimum MSE. (mathworks.com)
- Specify the number of predictors, the prior model type, and variable names. (mathworks.com)
- The results offer a good fixed structural equation model in which the quality of the horizontal and vertical relationships is a predictor variable of cyberbullying. (researchgate.net)
- Appendix A. Predictor variables and scales of association used to model the multi-scale response of avifauna to habitat, prescribed fire, and fire severity at four study sites in Arizona and New Mexico, USA. (figshare.com)
- You want to build a model that can predict the chance of cancer (y), using variables like age, blood pressure, weight, cholesterol value etc. (stackexchange.com)
- In the reviewed literature, we found that coarsening the resolution of the response variable typically leads to declining model performance. (flograttarola.com)
- Thus, assessing the spatial autocorrelation of the predictors at multiple grains can provide insights into the impacts of coarsening their resolution on model performance. (flograttarola.com)
Dependent variable7
- The statistical significance indicates that changes in the independent variables correlate with shifts in the dependent variable. (mysqlpreacher.com)
- The outcome variable is also called the response or dependent variable, and the risk factors and confounders are called the predictors, or explanatory or independent variables. (mysqlpreacher.com)
- I could set aggression as my dependent variable but I'm not sure how my independent variables could work. (stackexchange.com)
- But the dependent variable is their aggression after they played each game. (stackexchange.com)
- Unless I can use different dependent variable? (stackexchange.com)
- For each of your combinations of games and participants, you will get an additional value of the dependent variable of aggression, but these measurements are (ideally) all samplings from the same single random variable of your aggression measure. (stackexchange.com)
- Here our dependent variable of interest is time to event. (thejuliagroup.com)
Coefficients1
- You can also compare coefficients to select the best predictor (Make sure you have normalized the data before you perform regression and you take absolute value of coefficients) You can also look change in R-squared value. (mysqlpreacher.com)
Variance2
- You have an Analysis of Variance with an continuous dependent and two categorical predictors. (thejuliagroup.com)
- To assess the nature of the variables and their relationships you do descriptive analysis (Mean, Variance etc. (stackexchange.com)
Factors3
- Predictors included personal risk factors, physical work exposures and psychosocial factors. (cdc.gov)
- Conclusions: Both personal and work-related factors were independent predictors of upper extremity symptoms and functional impairment in this working population.We found different risk factors for symptoms than for functional impairment related to symptoms. (cdc.gov)
- Depression among patients with chronic kidney disease, associated factors, and predictors: a cross-sectional study. (bvsalud.org)
Models10
- Table 1 Bias and 95% coverage for full and single predictor models. (biomedcentral.com)
- identifies the same predictors for the two models and removes the redundant predictors. (mathworks.com)
- Enders, CK & Tofighi, D 2007, ' Centering Predictor Variables in Cross-Sectional Multilevel Models: A New Look at an Old Issue ', Psychological Methods , vol. 12, no. 2, pp. 121-138. (elsevierpure.com)
- Comparing Alternative Predictors Based on Large‐Panel Factor Models ," Oxford Bulletin of Economics and Statistics , Department of Economics, University of Oxford, vol. 74(2), pages 306-326, April. (repec.org)
- Comparing alternative predictors based on large-panel factor models ," Working Paper Series 680, European Central Bank. (repec.org)
- Comparing Alternative Predictors Based on Large-Panel Factor Models ," Research Technical Papers 14/RT/06, Central Bank of Ireland. (repec.org)
- Comparing Alternative Predictors Based on Large-Panel Factor Models ," CEPR Discussion Papers 6564, C.E.P.R. Discussion Papers. (repec.org)
- There is a lack of guidance on the choice of the spatial grain of predictor and response variables in species distribution models (SDM). (flograttarola.com)
- however, there is only limited evidence on whether this applies to models with coarser-resolution response variables (e.g. 100 km2 and coarser). (flograttarola.com)
- We analyzed predictors of psychological distress using generalized linear models (GLM) looking at individual associations of working conditions and psychological distress. (cdc.gov)
Psychological4
- In contrast, in the seropositive group no association was found between any of the psychological variables and antibody titers. (huji.ac.il)
- Personality and other psychological variables can predict antibody titers to rubella vaccination, in infected individuals. (huji.ac.il)
- The associations between the psychological variables and antibody titers are complex, and involve both direct and indirect associations. (huji.ac.il)
- Specific psychological variables can also be used to predict levels of post-vaccination fatigue. (huji.ac.il)
Intercept1
- The order of the shrinkages follows the order of the specified variable names, but the first element is the shrinkage of the intercept. (mathworks.com)
Clinical1
- Only clinical diagnostic variables and employment status were significant predictors. (nih.gov)
Severity3
- 5 Predictors of asthma in adulthood include various markers of initial severity,*RF 6-8* other atopic conditions, 4 7 8 and a family history of asthma. (bmj.com)
- Independent predictors for functional impairment were baseline history and severity of UE symptoms, wrist bending, and social support. (cdc.gov)
- however, ' level of education ', was the only predictor of depression with greater severity associated with lower levels of education . (bvsalud.org)
Corresponds1
- Each table variable corresponds to a different predictor variable. (mathworks.com)
Tobacco1
- Predictors were peer influence, access to cigarettes, misperceptions about tobacco use, exposure to secondhand smoke, and tobacco advertising. (cdc.gov)
Specifies1
- argument specifies which variable contains the response data. (mathworks.com)
Interaction1
- To examine possible differences between the two cohorts, interaction terms with each independent variable were analysed. (lu.se)
Species1
- Low-resolution predictors are usually sufficient for species associated with fairly common environmental conditions but not for species associated with less common ones (e.g. common vs rare land cover category). (flograttarola.com)
Depression1
- Level of education " was the only predictor of depression . (bvsalud.org)
Workers1
- Work section was a good predictor for taking sick leave, as wafer polishing workers faced higher odds of taking sick leave for each of the three cut off points of seven days, three days, and not at all, while parts assembly workers also faced significantly higher odds of taking sick leave. (bmj.com)
Independent variables9
- Is it possible to have more than 64 independent variables in LINEST? (excelforum.com)
- How many independent variables can you have in a regression? (mysqlpreacher.com)
- When there are two or more independent variables, it is called multiple regression. (mysqlpreacher.com)
- Do independent variables need to be normally distributed in linear regression? (mysqlpreacher.com)
- Yes, you only get meaningful parameter estimates from nominal (unordered categories) or numerical (continuous or discrete) independent variables. (mysqlpreacher.com)
- What kind of independent variables can I use for multiple regression? (stackexchange.com)
- Looking at the list of independent variables I came out with, I need to let my participants play a few kind of games (collaborative vs competitive and realism vs non-realism). (stackexchange.com)
- Multiple regression of the type you envision seeks to find how the value of a dependent random variable is associated with each of the independent variables. (stackexchange.com)
- To accomplish this task, you have to measure the value of the single dependent random variable under a variety of circumstances (combinations of independent variables), as you clearly recognize. (stackexchange.com)
Study aimed1
- This study aimed to analyze the capacity of the variables mentioned above to predict indecisiveness. (bvsalud.org)
Level4
- A predictor variable is used to predict the occurrence and/or level of another variable, called the outcome variable. (helpfulprofessor.com)
- In order to use the term 'cause and effect', the researcher must be able to control and manipulate the level of a variable and then observe the changes in the other variable. (helpfulprofessor.com)
- The individual/household level predictors of deworming medications utilization identified in this study were women's educational level, wealth quintile, and skilled antenatal care. (hindawi.com)
- Distance to health facility and region were identified as community-level predictors of deworming medications utilization. (hindawi.com)
Statistical1
- A researcher will measure both variables in a scientific study and then use statistical software to determine if the predictor variable is associated with the outcome variable. (helpfulprofessor.com)
Results1
- Results: Independent predictors for upper extremity symptoms at 6-month follow-up were age, Caucasian race, female gender, baseline history of UE symptoms, and job tasks involving wrist bending or forceful gripping. (cdc.gov)
Significant2
- Which variables are significant in regression? (mysqlpreacher.com)
- Although this type of research can provide significant insights that help us understand a phenomenon, we cannot say that the predictor valuable causes the outcome variable. (helpfulprofessor.com)
Make3
- Since the launch of MetLife's GMIB Plus/Predictor Plus rider, we have continued to make enhancements designed to improve on the flexibility and benefits inherent in this optional living benefit rider,' said Lisa S. Kuklinski, vice president and actuary, Individual Annuities, MetLife. (metlife.com)
- Wouldn't that make it two dependent variables? (stackexchange.com)
- Make sure to review what you were taught about the nature of random variables. (stackexchange.com)
Response variables2
- Overall, we observed a lack of studies examining the simultaneous manipulation of the resolution of predictor and response variables. (flograttarola.com)
- We stress the need to explicitly report the resolution of all predictor and response variables. (flograttarola.com)
Accurate1
- What comes out is a simulation of what might happen if present truths are accurate predictors of future trends. (cdc.gov)
Linear1
- As an extreme example, if there are p variables in a linear regression with p data points, the fitted line can go exactly through every point. (mysqlpreacher.com)
Selection1
- also performs predictor variable selection. (mathworks.com)
Vector1
- can be a matrix of counts or a vector of response variable classes. (mathworks.com)
Association4
- Cette étude, réalisée en mai 2002 dans le cadre de l'enquête nationale transversale à plusieurs degrés sur l'emploi et le chômage menée par le Département des Statistiques jordanien, a mesuré la prévalence de l'infarctus du myocarde (IDM) autodéclaré et son association à des facteurs de risque modifiables chez des sujets jordaniens âgés de 40 ans et plus. (who.int)
- Researchers will measure both variables in a given population and then determine the degree of association between the predictor and outcome variable. (helpfulprofessor.com)
- So, researchers will measure numerous predictor variables in the population under study and then determine the degree of association that each one has with the outcome variable. (helpfulprofessor.com)
- As long as the variables are measured accurately and the population size is large, the software will be able to determine which of the predictor variables are associated with the outcome variable and the degree of association. (helpfulprofessor.com)
Test1
- In this example, family income is the predictor variable, and test score is the outcome variable. (helpfulprofessor.com)
Characteristics1
- Since you can have each of the participants play each of the games, it will be straightforward to consider the identity of the participant as an independent variable, along with gender, family history, and the characteristics of the game. (stackexchange.com)
Health1
- Quality of diet is the predictor variable, and health is the outcome variable. (helpfulprofessor.com)