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pca command  (STATA Corporation)


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    Structured Review

    STATA Corporation pca command
    Pca Command, supplied by STATA Corporation, 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/pca+command/pca+command/pm40077666-107-7-10
    Average 90 stars, based on 1 article reviews
    pca command - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    Transformation Assay:

    Article Title: Diet and nutritional status among hospitalised children in Hawassa, Southern Ethiopia
    Article Snippet: The PCA was performed in STATA with the pca-command and the minimum eigenvalue set to 0.5.

    Article Title: Village community mobilization is associated with reduced HIV incidence in young South African women participating in the HPTN 068 study cohort
    Article Snippet: We therefore used the ‐pca‐ command in STATA with a varimax rotation (orthogonal transformation) to repartition the total variance of the three correlated variables into linearly uncorrelated principal components, which were included as control variables in the analyses described below.

    Article Title: Pedagogies for employability: understanding the needs of STEM students through a new approach to employability development
    Article Snippet: The factor analysis, which is a form of principal component analysis (pca), was performed using STATA’s ‘pca’ command.

    Article Title: The Role of Nutrition and Other Lifestyle Patterns in Mortality Risk in Older Adults with Multimorbidity.
    Article Snippet: The PCA procedures were conducted using the “pca” command in Stata.

    Article Title: Multivariable prognostic modelling to improve prediction of colorectal cancer recurrence: the PROSPeCT trial
    Article Snippet: Each CT perfusion parameters was standardized to a mean of 0 and a variance of 1, to avoid undue influence due to differences in measurement scales (STATA pca commands).

    Article Title: What determines diagnostic resource consumption in emergency medicine: patients, physicians or context?
    Article Snippet: Second, we calculated the principal component in each cluster using principal component analysis (Stata’s PCA command) and performed a multilevel mixed effects linear regression model (physician identification number as the random intercept model) with the z-transformed principal component variables in each cluster.

    Article Title: Effects of Community-Led Total Sanitation (CLTS) Boosting and Household Factors on Latrine Ownership in Siaya County, Kenya.
    Article Snippet: All statistical analyses, including principal component analysis (PCA) to extract the first principal component for SES classification using the ‘pca’ command, mixed-effects logistic regression analysis using the ‘xtmelogit’ command, the number of adaptive Gaussian quadrature integration points set to seven to report crude odds ratios (cOR) and adjusted odds ratios (aOR) with a 95% confidence interval (CI), were performed using Stata 14 (Stata Corp LLC, College Station, TX, USA). p-values less than 0.005 were considered statistically significant.

    Article Title: Estimating effects of monsoon flooding on household water access
    Article Snippet: To generate the asset index, we use the first component of a principal component analysis (Stata pca command), which was estimated using ownership of radio, television, mobile phone, non-mobile phone, refrigerator, bank account, bicycle, motorcycle; household flooring, roof, and wall material; and access to electricity.

    Control:

    Article Title: Diet and nutritional status among hospitalised children in Hawassa, Southern Ethiopia
    Article Snippet: The PCA was performed in STATA with the pca-command and the minimum eigenvalue set to 0.5.

    Article Title: Village community mobilization is associated with reduced HIV incidence in young South African women participating in the HPTN 068 study cohort
    Article Snippet: We therefore used the ‐pca‐ command in STATA with a varimax rotation (orthogonal transformation) to repartition the total variance of the three correlated variables into linearly uncorrelated principal components, which were included as control variables in the analyses described below.

    Article Title: Pedagogies for employability: understanding the needs of STEM students through a new approach to employability development
    Article Snippet: The factor analysis, which is a form of principal component analysis (pca), was performed using STATA’s ‘pca’ command.

    Article Title: The Role of Nutrition and Other Lifestyle Patterns in Mortality Risk in Older Adults with Multimorbidity.
    Article Snippet: The PCA procedures were conducted using the “pca” command in Stata.

    Article Title: Multivariable prognostic modelling to improve prediction of colorectal cancer recurrence: the PROSPeCT trial
    Article Snippet: Each CT perfusion parameters was standardized to a mean of 0 and a variance of 1, to avoid undue influence due to differences in measurement scales (STATA pca commands).

    Article Title: What determines diagnostic resource consumption in emergency medicine: patients, physicians or context?
    Article Snippet: Second, we calculated the principal component in each cluster using principal component analysis (Stata’s PCA command) and performed a multilevel mixed effects linear regression model (physician identification number as the random intercept model) with the z-transformed principal component variables in each cluster.

    Article Title: Effects of Community-Led Total Sanitation (CLTS) Boosting and Household Factors on Latrine Ownership in Siaya County, Kenya.
    Article Snippet: All statistical analyses, including principal component analysis (PCA) to extract the first principal component for SES classification using the ‘pca’ command, mixed-effects logistic regression analysis using the ‘xtmelogit’ command, the number of adaptive Gaussian quadrature integration points set to seven to report crude odds ratios (cOR) and adjusted odds ratios (aOR) with a 95% confidence interval (CI), were performed using Stata 14 (Stata Corp LLC, College Station, TX, USA). p-values less than 0.005 were considered statistically significant.

    Article Title: Estimating effects of monsoon flooding on household water access
    Article Snippet: To generate the asset index, we use the first component of a principal component analysis (Stata pca command), which was estimated using ownership of radio, television, mobile phone, non-mobile phone, refrigerator, bank account, bicycle, motorcycle; household flooring, roof, and wall material; and access to electricity.



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