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cox proportional hazards regression sas proc phreg procedure  (SAS institute)


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    SAS institute cox proportional hazards regression sas proc phreg procedure
    Cox Proportional Hazards Regression Sas Proc Phreg Procedure, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/proportional+hazards+regression+procedure+(proc+phreg)/cox+proportional+hazards+models+sas+proc+phreg/pm26555602-64-1-5
    Average 90 stars, based on 1 article reviews
    cox proportional hazards regression sas proc phreg procedure - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Risk of Colon Cancer and Coffee, Tea, and Sugar-Sweetened Soft Drink Intake: Pooled Analysis of Prospective Cohort Studies
    Article Snippet: First, a Cox proportional hazards model ( 36 ) using the SAS proportional hazards regression procedure (PROC PHREG) ( 37 ) was used to estimate study- and sex-specific relative risks and 95% confidence intervals.

    Article Title: Antineoplastic Treatment of Advanced-Stage Non–Small-Cell Lung Cancer: Treatment, Survival, and Spending (2000 to 2011)
    Article Snippet: 14 We estimated a multivariable Cox proportional hazards regression model by using the SAS PROC PHREG procedure to adjust hazard ratios (HRs) for patient sex, age, ethnicity, and registry.

    Article Title: Long-term stable obesity increases risk of hypertension.
    Article Snippet: Objectives: Although some prospective cohort studies have shown that baseline BMI is positively associated with a future incident risk for hypertension, these studies do not account for weight changes during the observation period.. Therefore, it is not evident whether future incident risk for hypertension in obese, non-hypertensive people increases when their weight remains stable.. We examined the association between long-term weight stability and risk for developing hypertension.

    Article Title: A prospective comparison of alginate-hydrogel with standard medical therapy to determine impact on functional capacity and clinical outcomes in patients with advanced heart failure (AUGMENT-HF trial)
    Article Snippet: The Cox proportional hazards regression (SAS proc phreg procedure) was used to estimate the hazard ratios with treatment as the only covariate.

    Article Title: Impact of Remote Telemedical Management on Mortality and Hospitalizations in Ambulatory Patients With Chronic Heart Failure
    Article Snippet: The Cox proportional hazards regression (SAS PROC PHREG procedure)10 was used to estimate the hazard ratios, with treatment as the only covariate.

    Article Title: The effects of metabolic conditions on prostate cancer incidence over 15 years of follow-up: results from the Olmsted County Study
    Article Snippet: Ageadjusted hazard (incidence rate) ratios and 95% CI measuring the associations between the metabolic characteristics and prostate cancer incidence were estimated using Cox proportional hazards regression (SAS procedure proc phreg).

    Article Title: One-year follow-up results from AUGMENT-HF: a multicentre randomized controlled clinical trial of the efficacy of left ventricular augmentation with Algisyl in the treatment of heart failure.
    Article Snippet: The Cox proportional hazards regression (SAS PROC PHREG procedure) was used to estimate the hazard ratios, with treatment as the only covariate.

    Selection:

    Article Title: Selection Bias Due to Parity-conditioning in Studies of Time Trends in Fertility
    Article Snippet: .. We considered truncation bias by restricting time-to-pregnancy starting dates between 1 July 1972 and 31 December 1981. the data on time to pregnancy by continuous maternal year of birth were analyzed using discrete proportional hazards regression (SaS PrOc PHreg procedure with exact handling of ties) providing fecundability density ratios (FDrs). all analyses were carried out using the Statistical analysis System 9.4 program (SaS institute, cary, nc). no trend in fertility was seen in the age-adjusted analysis of birth cohort effect, which included all the women (n = 950; FDr = 1.00 [95% confidence interval (ci) = 0.98–1.02]). a subset analysis of nulliparous women (n = 338) induced a strong trend toward an increase in fertility for each increasing year of birth (FDr = 1.04 [1.00–1.07]). thus, restriction to nulliparous women seems to have caused a selection bias in a setting not particularly designed for studying trends in fertility. ..



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