Covariate

The study used a covariate analysis to explore the relationship between age, gender, and cognitive function.

The statistical model accounted for the covariate influence of temperature on the growth rate of crops.

The regression analysis showed that there was a significant covariate effect of socioeconomic status on the relationship between race and health outcomes.

The research team controlled for the covariate factor of age when analyzing the relationship between sleep and cognitive performance.

The study examined the covariate effect of environmental factors on the survival of animal populations.

The study used a covariate analysis to explore the relationship between genetic factors and disease risk.

Blood pressure is a commonly used covariate in cardiovascular research.

In a study of the impact of technology on learning, the level of access to technology can be a covariate.

Body mass index is often used as a covariate in studies examining health outcomes.

Age is often used as a covariate when studying the relationship between health outcomes and medication efficacy.

Prior criminal history is often used as a covariate in studies of recidivism.

The analysis found a covariate link between air pollution and respiratory illness.

Income is a covariate in the study of home ownership.

The study used income as a covariate to account for potential differences in access to healthcare.

Time spent studying is a covariate in the study of academic success.

The results suggested that the covariate variables had a strong association with the outcome.

The study controlled for education level as a covariate to examine the relationship between income and happiness.

The researcher used income as a covariate in the analysis to examine the impact of social class on political participation.

In the study, the socioeconomic status of the participants was used as a covariate.

The statistical model included marital status as a covariate to adjust for variations in social support.

The statistical analysis revealed a significant covariate association between age and income in the population.

Family income is a common covariate in studies of educational achievement.

The researchers used a covariate analysis to control for the confounding variables.

Race is a covariate that is often controlled for in studies of educational attainment.

The study used income as a covariate to analyze the impact of a new housing policy on homelessness rates.

Age is frequently used as a covariate in studies of cognitive decline.

The study found a covariate relationship between income and education.

The researcher noted a covariate correlation between diet and exercise.

The participants' body mass index was used as a covariate in the study.

The teacher included students' previous academic performance as a covariate variable in the grading system.

Smoking status is a covariate in the study of lung cancer.

The type of therapy received can be a covariate in a study of cancer survival rates.

The researcher included the covariate variable of education level in their analysis of income and job satisfaction.

The experiment included gender as a covariate to investigate the impact of a new teaching method on student achievement.

The regression analysis showed that there was a significant covariate effect of parental involvement on academic achievement.

The research team discovered a covariate connection between stress and heart disease.

Educational attainment is often a covariate in studies of income inequality.

The study used smoking status as a covariate in the analysis to account for differences in lifestyle factors.

The climatologist analyzed the temperature anomaly as a covariate factor in predicting climate change.

The age of the participants was used as a covariate in the clinical trial.

The researcher used age as a covariate to analyze the effect of a new drug on blood pressure.

The statistical model adjusted for education level as a covariate to account for differences in knowledge and skills.

Physical activity level is an important covariate in studies of cardiovascular disease.

In the study, ethnicity was used as a covariate to adjust for racial differences.

The study controlled for the participants' smoking habits as a covariate.

Education level is an important covariate to consider in studies of cognitive function.

Time since diagnosis can be used as a covariate in studies on disease progression.

The study explored the covariate impact of smoking status on lung cancer risk.

The researcher included previous work experience as a covariate in the analysis to control for potential bias.

To adjust for baseline differences in disease severity, disease duration was included as a covariate in the analysis.