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spline  (STATA Corporation)


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    STATA Corporation spline
    Spline, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 2476 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/spline+command/STATA+4%2E0/pmc03106233-75-28-33
    Average 99 stars, based on 2476 article reviews
    spline - by Bioz Stars, 2026-09
    99/100 stars

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    Article Title: The rate and predictors of recompensation in patients with decompensated cirrhosis due to metabolic dysfunction–associated liver disease (MASLD)
    Article Snippet: All statistical analyses were conducted using STATA/BE and R version 4.1.0 (R Foundation for Statistical Computing, Vienna, Austria).

    Article Title: Loneliness and social isolation in transitions to adverse health conditions and mortality: an analysis of data from the UK Biobank study
    Article Snippet: The analyses were conducted using STATA V.18 and R V.4.4.0.

    Article Title: Clinical utility of voluntary cough peak expiratory flow outcomes to screen aspiration status in head and neck cancer survivors.
    Article Snippet: Analyses were performed using StataNow/SE 18.5 (1985–2023 StataCorp LLC) and R version 4.4.1 (The R Foundation for Statistical Computing).

    Article Title: Mechanistic pathways between adult child education and late-life parental health outcomes: cross-national comparisons across the US, Mexico, and India.
    Article Snippet: A growing body of evidence across global contexts supports the notion that adult child education may have upward spillover effects on late-life parental health outcomes through heterogeneous mechanistic pathways.. However, comparisons of these pathways across diverse study contexts are challenging given differences in exposure and outcome definitions, modeling strategies, and covariate adjustment strategies.. We sought to improve cross-national comparisons by using harmonized data spanning 2015-2017 from the Health and Retirement Study (HRS, N = 11,584) in the US, the Mexican Health and Aging Study (MHAS, N = 9,599) in Mexico, and the Longitudinal Aging Study (LASI, N = 29,576) in India, along with harmonized modeling approaches.

    Article Title: Associations between smart health device use and depressive symptoms in older adults from the China longitudinal aging social survey.
    Article Snippet: All statistical procedures were executed using Stata version 17.0 and R version 4.4.2.

    Software:

    Article Title: Disability Accommodation Access and Requests in US Internal Medicine Residents With Disabilities
    Article Snippet: .. Statistical analysis was conducted using Stata MP version 17 (StataCorp LLC) and R statistical software version 4.4.2 (R Project for Statistical Computing), with a 2-sided P < .05 deemed significant. ..

    Article Title: Disability Accommodation Access and Requests in US Internal Medicine Residents With Disabilities.
    Article Snippet: .. Statistical analysis was conducted using Stata MP version 17 (StataCorp LLC) and R statistical software version 4.4.2 (R Project for Statistical Computing), with a 2-sided P < .05 deemed significant. ..

    Article Title: Life’s Essential 8 and healthy longevity among people with and without cardiometabolic multimorbidity: A prospective study of UK Biobank
    Article Snippet: .. Statistical analyses were performed using R software (version 4.4.1) or Stata (StataCorp, 16.0). ..



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    Image Search Results


    Dose–response association between MVPA and FD. (A–C) shows the association between MVPA and FD among all participants (A) , non-frail older adults (B) , and frail older adults (C) , modeled by restricted cubic splines. MVPA and ST were mutually adjusted, as were baseline age, sex, district, living situation, marital status, education, equivalent income, body mass index, hypertension, dyslipidemia, heart disease, stroke, diabetes mellitus, cancer, alcohol drinking status, smoking status, lower back pain, knee pain, and frailty [in the stratified analyses (B,C) , frailty was excluded from covariates]. The reference value for MVPA was 0 METs■min/week. Solid lines indicate hazard ratios for FD. Dashed lines indicate 95% confidence intervals. FD = functional disability; METs = metabolic equivalent; MVPA = moderate-to-vigorous physical activity; ST = sedentary time.

    Journal: Frontiers in Public Health

    Article Title: Dose–response associations between physical activity and sedentary time with functional disability in older adults with or without frailty: a prospective cohort study

    doi: 10.3389/fpubh.2024.1357618

    Figure Lengend Snippet: Dose–response association between MVPA and FD. (A–C) shows the association between MVPA and FD among all participants (A) , non-frail older adults (B) , and frail older adults (C) , modeled by restricted cubic splines. MVPA and ST were mutually adjusted, as were baseline age, sex, district, living situation, marital status, education, equivalent income, body mass index, hypertension, dyslipidemia, heart disease, stroke, diabetes mellitus, cancer, alcohol drinking status, smoking status, lower back pain, knee pain, and frailty [in the stratified analyses (B,C) , frailty was excluded from covariates]. The reference value for MVPA was 0 METs■min/week. Solid lines indicate hazard ratios for FD. Dashed lines indicate 95% confidence intervals. FD = functional disability; METs = metabolic equivalent; MVPA = moderate-to-vigorous physical activity; ST = sedentary time.

    Article Snippet: Furthermore, in Model 3, we analyzed the dose–response curves of MVPA and ST with incident FD using restricted cubic splines commands (i.e., “mkspline,” “levelsof,” and “xblc” in Stata).

    Techniques: Functional Assay, Activity Assay

    Dose–response association between ST and FD. (A-C) shows the association between ST and FD among all participants (A) , non-frail older adults (B) , and frail older adults (C) , modeled by restricted cubic splines. ST and MVPA were mutually adjusted, as well as baseline age, sex, district, living situation, marital status, education, equivalent income, body mass index, hypertension, dyslipidemia, heart disease, stroke, diabetes mellitus, cancer, alcohol drinking status, smoking status, lower back pain, knee pain, and frailty (in the stratified analyses (B,C) , frailty was excluded from covariates). The reference value for the ST was 300 min/day. Solid lines indicate hazard ratios for FD. Dashed lines indicate 95% confidence intervals. FD = functional disability; METs = metabolic equivalent; MVPA = moderate-to-vigorous physical activity; ST = sedentary time.

    Journal: Frontiers in Public Health

    Article Title: Dose–response associations between physical activity and sedentary time with functional disability in older adults with or without frailty: a prospective cohort study

    doi: 10.3389/fpubh.2024.1357618

    Figure Lengend Snippet: Dose–response association between ST and FD. (A-C) shows the association between ST and FD among all participants (A) , non-frail older adults (B) , and frail older adults (C) , modeled by restricted cubic splines. ST and MVPA were mutually adjusted, as well as baseline age, sex, district, living situation, marital status, education, equivalent income, body mass index, hypertension, dyslipidemia, heart disease, stroke, diabetes mellitus, cancer, alcohol drinking status, smoking status, lower back pain, knee pain, and frailty (in the stratified analyses (B,C) , frailty was excluded from covariates). The reference value for the ST was 300 min/day. Solid lines indicate hazard ratios for FD. Dashed lines indicate 95% confidence intervals. FD = functional disability; METs = metabolic equivalent; MVPA = moderate-to-vigorous physical activity; ST = sedentary time.

    Article Snippet: Furthermore, in Model 3, we analyzed the dose–response curves of MVPA and ST with incident FD using restricted cubic splines commands (i.e., “mkspline,” “levelsof,” and “xblc” in Stata).

    Techniques: Functional Assay, Activity Assay

    Association between mean temperature or humidity and cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command. MVRS indicated a non-linear relationship with mean temperature. The predicted number of cerebrovascular diseases per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( B ) MVRS indicated a non-linear relationship with humidity. The predicted number of cerebrovascular diseases per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals.

    Journal: Scientific Reports

    Article Title: Effects of temperature and humidity on cerebrovascular disease hospitalization in a super-aging society

    doi: 10.1038/s41598-023-47998-6

    Figure Lengend Snippet: Association between mean temperature or humidity and cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command. MVRS indicated a non-linear relationship with mean temperature. The predicted number of cerebrovascular diseases per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( B ) MVRS indicated a non-linear relationship with humidity. The predicted number of cerebrovascular diseases per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals.

    Article Snippet: Figure 3 Association between mean humidity and subgroups of cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command.

    Techniques:

    Association between mean temperature and subgroups of cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command. MVRS indicated a non-linear relationship with mean temperature. The predicted number of ischemic stroke hospitalizations per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( B ) MVRS indicated a non-linear relationship with temperature. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( C ) MVRS indicated a non-linear relationship with temperature. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals.

    Journal: Scientific Reports

    Article Title: Effects of temperature and humidity on cerebrovascular disease hospitalization in a super-aging society

    doi: 10.1038/s41598-023-47998-6

    Figure Lengend Snippet: Association between mean temperature and subgroups of cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command. MVRS indicated a non-linear relationship with mean temperature. The predicted number of ischemic stroke hospitalizations per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( B ) MVRS indicated a non-linear relationship with temperature. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( C ) MVRS indicated a non-linear relationship with temperature. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents temperature (°C) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals.

    Article Snippet: Figure 3 Association between mean humidity and subgroups of cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command.

    Techniques:

    Association between mean humidity and subgroups of cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command. MVRS indicated a non-linear relationship with mean humidity. The predicted number of ischemic stroke hospitalizations per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( B ) MVRS indicated a non-linear relationship with humidity. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( C ) MVRS indicated a non-linear relationship with humidity. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals.

    Journal: Scientific Reports

    Article Title: Effects of temperature and humidity on cerebrovascular disease hospitalization in a super-aging society

    doi: 10.1038/s41598-023-47998-6

    Figure Lengend Snippet: Association between mean humidity and subgroups of cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command. MVRS indicated a non-linear relationship with mean humidity. The predicted number of ischemic stroke hospitalizations per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( B ) MVRS indicated a non-linear relationship with humidity. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals. ( C ) MVRS indicated a non-linear relationship with humidity. The predicted number of cerebral hemorrhage hospitalizations per day was univariate. The x-axis represents humidity (%) as a continuous variable. The solid and dashed lines indicate 95% confidence intervals.

    Article Snippet: Figure 3 Association between mean humidity and subgroups of cerebrovascular disease hospitalizations. ( A ) Linearity was checked for continuous and categorical variables using STATA’s multivariable regression splines (MVRS) command.

    Techniques: