## What is/are Score Adjusted?

Score Adjusted - The upfront therapy was significantly associated with favorable CRPC-free survival and OS than that in the ADT group in propensity-score adjusted models.^{[1]}Mini-Mental State Examination (MMSE) score adjusted according to the correlation coefficients was used to detect CI with a cutoff of 24.

^{[2]}Depending on the user need, NOMIS offers four versions of Z-score adjusted on different sets of variables.

^{[3]}However, we found a lower Lumbar spine Z-score adjusted for TBS (LS Z-score*TBS) in PHPT participants when compared with controls (-0.

^{[4]}In a propensity-score adjusted analysis, generalized ventricular casting was an independent predictor of shunt placement (OR: 3.

^{[5]}And the Altman Z - Score Adjusted variable aproach is the data analysis method used in this study.

^{[6]}In a propensity-score adjusted model, poor/intermediate metabolizers had lower odds [OR=0.

^{[7]}And the Altman Z - Score Adjusted variable aproach is the data analysis method used in this study.

^{[8]}The evaluation was conducted with the help of a catalogue of criteria which had been established beforehand and a score adjusted to the individual situation.

^{[9]}Propensity-score adjusted generalized linear models (GLMs) were used to compare patients receiving adequate versus inadequate MDD care in terms of study outcomes.

^{[10]}A propensity-score adjusted multivariable logistic regression model was utilized to relate PRBC transfusion to 30-day readmission and to identify predictors of 30-day readmission.

^{[11]}On propensity-score adjusted analyses, there were no significant differences in overall survival between groups.

^{[12]}Propensity-score adjusted multivariable logistic and Cox regression models were used to determine the association of packed red blood cell transfusion with the composite endpoint of death, myocardial infarction, and stroke at 30 days and in hospital, and 1-year mortality.

^{[13]}Association between study variables and time to cancer event was evaluated using cause-specific hazard ratios (HR) and 95% confidence intervals (CI), estimated by univariate and propensity-score adjusted multivariable Cox proportional hazards models.

^{[14]}Due to lack of compliance in treatment assignment, propensity-score adjusted models were also estimated.

^{[15]}Results After propensity-score adjusted analyses, SLT demonstrated inferior short-term perioperative outcomes than RLR, with increased major morbidity (57.

^{[16]}We determined changes in proportions of non-vaccine-type HPV prevalence and conducted logistic regression to determine the odds of infection across the surveillance studies, propensity-score adjusted to control for selection bias.

^{[17]}It was found that BMC and BMD Z-score adjusted for weight were significantly lower in obese children as compared to controls (all p<0.

^{[18]}

## proportional hazard regression

We examined the association of infertility history (inability to conceive for one year or greater) all-cause and cause-specific mortality using disease risk score adjusted Cox-proportional hazard regression models.^{[1]}Cox proportional hazard regression model was used to estimate that the use of RA in addition to BIMA did not affect the late mortality (propensity score adjusted hazard ratio, 1.

^{[2]}The elderly group as compared to the control group did not affect midterm mortality via cox proportional hazard regression (propensity score adjusted hazard ratio, 1.

^{[3]}

## exercise related physical

Participation in exercise-related physical activity (yes/no), weekly duration of exercise-related physical activity and the change in exercise-related physical activity between baseline and follow-up were examined for associations with residential greenness, adjusting for socio-demographic factors, propensity score adjusted participation in cardiac rehabilitation and health-related covariates after multiple imputation for missing variables.^{[1]}Participation in exercise-related physical activity (yes/no), weekly duration of exercise-related physical activity and the change in exercise-related physical activity between baseline and follow-up were examined for associations with residential greenness, adjusting for socio-demographic factors, propensity score adjusted participation in cardiac rehabilitation and health-related covariates after multiple imputation for missing variables.

^{[2]}

## Propensity Score Adjusted

Hypothesis testing included only the randomized cohort but propensity score adjusted results for the preference and combined cohorts are also shown.^{[1]}A propensity score adjusted analysis was performed to compare outcomes after the performance of CTA examination or not.

^{[2]}The primary outcome of in-hospital mortality was compared between PEH and non-homeless patients using a log-binomial regression model with propensity score adjusted standardized mortality ratio weighting (SMRW).

^{[3]}A propensity score adjusted Cox regression analysis was conducted to compare outcome between the groups with and without DM.

^{[4]}Three methods of analysis were used to control for confounding factors: logistic multivariate regression, propensity score adjusted regression, and matched propensity score analysis.

^{[5]}After applying propensity score adjusted methods, balance was achieved in the treatment groups and it was found that C-section has significant effect on early neonatal mortality and neonatal mortality.

^{[6]}After ADR calculation, machine learning-augmented propensity score adjusted multivariable regression with augmented inverse-probability weighting propensity (AIPW) score analysis was used to assess the relationship between guideline adherence, as well as abnormal and high-risk surveillance findings.

^{[7]}Treatment effect on Overall Survival (OS) was assessed by a Propensity Score adjusted Cox model.

^{[8]}METHODS AND RESULTS We analysed SC by primary malignancy type with propensity score adjusted multivariable regression and machine learning analysis using the 2016 United States National Inpatient Sample.

^{[9]}We conducted a propensity score adjusted analysis of LS-SCLC patients treated at our institutions with 40Gy/15 fractions versus 45Gy/30 twice daily.

^{[10]}We examined the effects of HCQ alone, and in combination with azithromycin, in a hospitalized COVID-19 positive, United States (US) Veteran population using a propensity score adjusted survival analysis with imputation of missing data.

^{[11]}Participation in exercise-related physical activity (yes/no), weekly duration of exercise-related physical activity and the change in exercise-related physical activity between baseline and follow-up were examined for associations with residential greenness, adjusting for socio-demographic factors, propensity score adjusted participation in cardiac rehabilitation and health-related covariates after multiple imputation for missing variables.

^{[12]}Associations of ancillary pathology factors with patient characteristics were explored using the non-parametric Kendall tau-test and propensity score adjusted longitudinal mixed effects regression models were used to evaluate associations of these pathology factors with changes in estimated glomerular filtration rate (eGFR) following RAPN.

^{[13]}Patient case-mix adjusted outcomes including in-hospital mortality, length of stay, and hospitalization cost were evaluated by high-dimensional propensity score adjusted logistic regression.

^{[14]}Propensity score adjusted, multivariable logistic, and negative binomial regressions model the relationship between caregivers' training needs and number/type of home health visits.

^{[15]}Multivariate analysis using propensity score adjusted analysis showed no significant increase in all-cause mortality with co-prescription (adjusted hazards ratio [AHR] 1.

^{[16]}At the propensity score adjusted Cox multivariable analysis, DM (HR = 1.

^{[17]}From the last consecutive 136 patients, matched control group [cervical sagittal vertical axis (cSVA)<40 mm, n=30] and matched imbalance group (≥40 mm, n=30) were selected based on their propensity score adjusted for age, sex, cervical alignment, and preoperative Japanese Orthopaedic Association (JOA) score.

^{[18]}Participation in exercise-related physical activity (yes/no), weekly duration of exercise-related physical activity and the change in exercise-related physical activity between baseline and follow-up were examined for associations with residential greenness, adjusting for socio-demographic factors, propensity score adjusted participation in cardiac rehabilitation and health-related covariates after multiple imputation for missing variables.

^{[19]}Propensity score adjusted, and probability-weighted multinomial multivariable logistic regression was used to examine associations of PNVI and SNVI with frailty.

^{[20]}Using a propensity score adjusted model with inverse probability treatment weighting, adjusted hazard ratios for overall survival were calculated, including an interaction term between BT and race.

^{[21]}The results were similar in propensity score adjusted analyses which used inverseprobabilityoftreatment weights to try to account for differences in baseline characteristics of the two groups (confounding by indication), and when using a 30% decline in eGFR as an alternate outcome (adjusted hazard ratio compared vitamin K antagonist exposure vs nonexposure, 1.

^{[22]}Propensity score adjusted logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for complications and death within 90 days of surgery, comparing patients receiving preoperative chemotherapy or not.

^{[23]}CONCLUSIONS: Based on the findings of this a population-based propensity score adjusted analysis ESWT + therapy was superior than therapy alone in ameliorating symptoms and quality of life.

^{[24]}Patient and provider factors that influence choice of therapy were controlled using propensity score adjusted models.

^{[25]}Propensity score adjusted analysis also showed a longer median OS for chronic ASI users.

^{[26]}The correlations between periodontal disease and hypertension were investigated using univariate and multiple logistic regression analyses and propensity score adjusted analysis.

^{[27]}In a propensity score adjusted analysis, patients with CKD had a significant increase in MACE (HR = 2.

^{[28]}043), propensity score adjusted multivariable model (adjusted OR 2.

^{[29]}With each trial we used three Cox regression models to determine hazard ratios (HRs) for overall survival including univariable, multivariable, and propensity score adjusted models.

^{[30]}Propensity score adjusted analysis suggested no adjuvant RT benefit (OR 2.

^{[31]}Propensity score adjusted logistic regressions were invoked to delineate the independent association between VAD and child growth failure, both linear and ponderal.

^{[32]}Cox proportional hazard regression model was used to estimate that the use of RA in addition to BIMA did not affect the late mortality (propensity score adjusted hazard ratio, 1.

^{[33]}The propensity score adjusted risk ratio for the effect of maintenance therapy on recurrence was 0.

^{[34]}Patients were matched using propensity score adjusted analysis.

^{[35]}The elderly group as compared to the control group did not affect midterm mortality via cox proportional hazard regression (propensity score adjusted hazard ratio, 1.

^{[36]}Ischemic (death, stroke, or myocardial infarction) and bleeding (BARC 2–5) events within 12 months were compared in a propensity score adjusted model.

^{[37]}

## Risk Score Adjusted

The primary outcome of this study was the 1-year ASCVD risk score adjusted to baseline ASCVD risk score.^{[1]}Median 30 day risk score adjusted mortality was higher in women compared with men (median: 5.

^{[2]}We examined the association of infertility history (inability to conceive for one year or greater) all-cause and cause-specific mortality using disease risk score adjusted Cox-proportional hazard regression models.

^{[3]}

## score adjusted analysi

A propensity score adjusted analysis was performed to compare outcomes after the performance of CTA examination or not.^{[1]}In a propensity-score adjusted analysis, generalized ventricular casting was an independent predictor of shunt placement (OR: 3.

^{[2]}We conducted a propensity score adjusted analysis of LS-SCLC patients treated at our institutions with 40Gy/15 fractions versus 45Gy/30 twice daily.

^{[3]}Multivariate analysis using propensity score adjusted analysis showed no significant increase in all-cause mortality with co-prescription (adjusted hazards ratio [AHR] 1.

^{[4]}CONCLUSIONS: Based on the findings of this a population-based propensity score adjusted analysis ESWT + therapy was superior than therapy alone in ameliorating symptoms and quality of life.

^{[5]}Propensity score adjusted analysis also showed a longer median OS for chronic ASI users.

^{[6]}The correlations between periodontal disease and hypertension were investigated using univariate and multiple logistic regression analyses and propensity score adjusted analysis.

^{[7]}In a propensity score adjusted analysis, patients with CKD had a significant increase in MACE (HR = 2.

^{[8]}Propensity score adjusted analysis suggested no adjuvant RT benefit (OR 2.

^{[9]}Patients were matched using propensity score adjusted analysis.

^{[10]}

## score adjusted model

The upfront therapy was significantly associated with favorable CRPC-free survival and OS than that in the ADT group in propensity-score adjusted models.^{[1]}In a propensity-score adjusted model, poor/intermediate metabolizers had lower odds [OR=0.

^{[2]}Using a propensity score adjusted model with inverse probability treatment weighting, adjusted hazard ratios for overall survival were calculated, including an interaction term between BT and race.

^{[3]}Patient and provider factors that influence choice of therapy were controlled using propensity score adjusted models.

^{[4]}With each trial we used three Cox regression models to determine hazard ratios (HRs) for overall survival including univariable, multivariable, and propensity score adjusted models.

^{[5]}Due to lack of compliance in treatment assignment, propensity-score adjusted models were also estimated.

^{[6]}Ischemic (death, stroke, or myocardial infarction) and bleeding (BARC 2–5) events within 12 months were compared in a propensity score adjusted model.

^{[7]}

## score adjusted multivariable

After ADR calculation, machine learning-augmented propensity score adjusted multivariable regression with augmented inverse-probability weighting propensity (AIPW) score analysis was used to assess the relationship between guideline adherence, as well as abnormal and high-risk surveillance findings.^{[1]}METHODS AND RESULTS We analysed SC by primary malignancy type with propensity score adjusted multivariable regression and machine learning analysis using the 2016 United States National Inpatient Sample.

^{[2]}A propensity-score adjusted multivariable logistic regression model was utilized to relate PRBC transfusion to 30-day readmission and to identify predictors of 30-day readmission.

^{[3]}043), propensity score adjusted multivariable model (adjusted OR 2.

^{[4]}Propensity-score adjusted multivariable logistic and Cox regression models were used to determine the association of packed red blood cell transfusion with the composite endpoint of death, myocardial infarction, and stroke at 30 days and in hospital, and 1-year mortality.

^{[5]}Association between study variables and time to cancer event was evaluated using cause-specific hazard ratios (HR) and 95% confidence intervals (CI), estimated by univariate and propensity-score adjusted multivariable Cox proportional hazards models.

^{[6]}

## score adjusted cox

A propensity score adjusted Cox regression analysis was conducted to compare outcome between the groups with and without DM.^{[1]}Treatment effect on Overall Survival (OS) was assessed by a Propensity Score adjusted Cox model.

^{[2]}At the propensity score adjusted Cox multivariable analysis, DM (HR = 1.

^{[3]}We examined the association of infertility history (inability to conceive for one year or greater) all-cause and cause-specific mortality using disease risk score adjusted Cox-proportional hazard regression models.

^{[4]}

## score adjusted analysis

The results were similar in propensity score adjusted analyses which used inverseprobabilityoftreatment weights to try to account for differences in baseline characteristics of the two groups (confounding by indication), and when using a 30% decline in eGFR as an alternate outcome (adjusted hazard ratio compared vitamin K antagonist exposure vs nonexposure, 1.^{[1]}On propensity-score adjusted analyses, there were no significant differences in overall survival between groups.

^{[2]}Results After propensity-score adjusted analyses, SLT demonstrated inferior short-term perioperative outcomes than RLR, with increased major morbidity (57.

^{[3]}

## score adjusted logistic

Patient case-mix adjusted outcomes including in-hospital mortality, length of stay, and hospitalization cost were evaluated by high-dimensional propensity score adjusted logistic regression.^{[1]}Propensity score adjusted logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for complications and death within 90 days of surgery, comparing patients receiving preoperative chemotherapy or not.

^{[2]}Propensity score adjusted logistic regressions were invoked to delineate the independent association between VAD and child growth failure, both linear and ponderal.

^{[3]}

## score adjusted participation

Participation in exercise-related physical activity (yes/no), weekly duration of exercise-related physical activity and the change in exercise-related physical activity between baseline and follow-up were examined for associations with residential greenness, adjusting for socio-demographic factors, propensity score adjusted participation in cardiac rehabilitation and health-related covariates after multiple imputation for missing variables.^{[1]}Participation in exercise-related physical activity (yes/no), weekly duration of exercise-related physical activity and the change in exercise-related physical activity between baseline and follow-up were examined for associations with residential greenness, adjusting for socio-demographic factors, propensity score adjusted participation in cardiac rehabilitation and health-related covariates after multiple imputation for missing variables.

^{[2]}

## score adjusted hazard

Cox proportional hazard regression model was used to estimate that the use of RA in addition to BIMA did not affect the late mortality (propensity score adjusted hazard ratio, 1.^{[1]}The elderly group as compared to the control group did not affect midterm mortality via cox proportional hazard regression (propensity score adjusted hazard ratio, 1.

^{[2]}

## score adjusted variable

And the Altman Z - Score Adjusted variable aproach is the data analysis method used in this study.^{[1]}And the Altman Z - Score Adjusted variable aproach is the data analysis method used in this study.

^{[2]}