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multivariable regression spline models mvrs command  (STATA Corporation)


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    STATA Corporation multivariable regression spline models mvrs command
    Multivariable Regression Spline Models Mvrs Command, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 36706 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/spline+command/STATA+1%2E0/pmc08110517-141-1-8
    Average 99 stars, based on 36706 article reviews
    multivariable regression spline models mvrs command - by Bioz Stars, 2026-10
    99/100 stars

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    Article Snippet: Yu et al [ ] , China , CV mortality in HF, rehospitalization in HF, MACE in HF , Biomolecules and Biomedicine, , 12 , 20 639 , RevMan (v:5.1) and STATA 12.0 , Up to January 2024 , PubMed, Web of Science, and Embase , No , Newcastle-Ottawa Scale , Critically low. .. Xu et al [ ] , China , MACE in CHD, non-fatal MI in CHD, revascularization in CHD , Cardiovascular Diabetology , 36 , 173 851 , R software 4.4.1 and STATA 17.0 , Up to March 2025 , PubMed, the Cochrane Library, Web of Science, and Embase , PROSPERO: CRD420251018545 , Newcastle-Ottawa Scale , Critically low. ..

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    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 <t>restricted</t> <t>cubic</t> <t>splines.</t> 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.
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    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 <t>restricted</t> <t>cubic</t> <t>splines.</t> 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.
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    STATA Corporation multivariable regression splines command
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    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: