univariate and multivariable conditional logistic regression models stata version 10 Search Results


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STATA Corporation multivariable model
Uni- and <t> multivariable </t> associations between potential barriers of GPs agreement with the SCS recommendations about the sequence for care
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STATA Corporation multivariable models
Uni- and <t> multivariable </t> associations between potential barriers of GPs agreement with the SCS recommendations about the sequence for care
Multivariable Models, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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STATA Corporation version 10 1
Uni- and <t> multivariable </t> associations between potential barriers of GPs agreement with the SCS recommendations about the sequence for care
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Uni- and <t> multivariable </t> associations between potential barriers of GPs agreement with the SCS recommendations about the sequence for care
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STATA Corporation multivariate imputation
Uni- and <t> multivariable </t> associations between potential barriers of GPs agreement with the SCS recommendations about the sequence for care
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STATA Corporation stata 5 statistical package 18
Uni- and <t> multivariable </t> associations between potential barriers of GPs agreement with the SCS recommendations about the sequence for care
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STATA Corporation old multivariable model
Univariable and <t> multivariable </t> analyses of associations with any noma cases (stage 0 to 5), 0–5 years
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Univariable and <t> multivariable </t> analyses of associations with any noma cases (stage 0 to 5), 0–5 years
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Univariable and <t> multivariable </t> analyses of associations with any noma cases (stage 0 to 5), 0–5 years
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Image Search Results


Uni- and  multivariable  associations between potential barriers of GPs agreement with the SCS recommendations about the sequence for care

Journal: BMC Family Practice

Article Title: Agreement of general practitioners with the guideline-based stepped-care strategy for patients with osteoarthritis of the hip or knee: a cross-sectional study

doi: 10.1186/1471-2296-14-33

Figure Lengend Snippet: Uni- and multivariable associations between potential barriers of GPs agreement with the SCS recommendations about the sequence for care

Article Snippet: All variables that showed univariable significance (p < 0.10) were entered simultaneously into a multivariable model. Statistical analyses were executed using STATA 10.0.

Techniques: Sequencing

Univariable and  multivariable  analyses of associations with any noma cases (stage 0 to 5), 0–5 years

Journal: BMJ Global Health

Article Title: The prevalence of noma in northwest Nigeria

doi: 10.1136/bmjgh-2019-002141

Figure Lengend Snippet: Univariable and multivariable analyses of associations with any noma cases (stage 0 to 5), 0–5 years

Article Snippet: To further understand the association with age, an age covariate with finer age categories (0–2 years, and 3–5 years, in the younger age group model; and 6–10 years, and 11–15 years, in the older age group model, respectively) were included in the univariable analyses for both age group models, and in the 0–5 year old multivariable model. All data analysis was conducted with Stata V.15 (StataCorp LP, College Station, Texas, USA).

Techniques:

Univariable and  multivariable  analyses of associations with any noma cases (stage 0 to 5), 6–15 years

Journal: BMJ Global Health

Article Title: The prevalence of noma in northwest Nigeria

doi: 10.1136/bmjgh-2019-002141

Figure Lengend Snippet: Univariable and multivariable analyses of associations with any noma cases (stage 0 to 5), 6–15 years

Article Snippet: To further understand the association with age, an age covariate with finer age categories (0–2 years, and 3–5 years, in the younger age group model; and 6–10 years, and 11–15 years, in the older age group model, respectively) were included in the univariable analyses for both age group models, and in the 0–5 year old multivariable model. All data analysis was conducted with Stata V.15 (StataCorp LP, College Station, Texas, USA).

Techniques: