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kernel-weighted local polynomial smoothing plot stata command lowess  (STATA Corporation)


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    STATA Corporation kernel-weighted local polynomial smoothing plot stata command lowess
    Kernel Weighted Local Polynomial Smoothing Plot Stata Command Lowess, 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/plot+command/lowess+smoothing+plots/pmc11441459-175-24-29
    Average 90 stars, based on 1 article reviews
    kernel-weighted local polynomial smoothing plot stata command lowess - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Occurrence and spread of influenza A(H1N1)pdm09 virus infection in Norwegian pig herds based on active serosurveillance from 2010 to 2014
    Article Snippet: Temporal trends* pig herds seroprevalence of influenza A(H1N1)pdm09 virus infection in Norway, stratified by five production classes from 1 January 2010 to 31 December 2014. (* Using Stata's lowess smoothing plots to show running mean between positive herds and negative herds with date as the unit measure for cross-section of proportion of positive herds.)

    Article Title: Occurrence and spread of influenza A(H1N1)pdm09 virus infection in Norwegian pig herds based on active serosurveillance from 2010 to 2014
    Article Snippet: Temporal trends* of pig herd seroprevalence for influenza A(H1N1)pdm09 virus infection in Norway, stratified by top three pig-farming counties from 1 January 2010 to 31 December 2014. (* Using Stata's lowess smoothing plots to show running mean between positive herds and negative herds.

    Article Title: Risk factors for Hyperopia and Myopia in Preschool Children: The Multi-Ethnic Pediatric Eye Disease and Baltimore Pediatric Eye Disease Studies
    Article Snippet: The LOWESS plot uses an iterative, locally weighted, least-squares method to plot the best-fit line (STATA). (Cleveland and Devlin 1988) 16 Individuals with missing data were excluded from the univariate analysis for that variable; multivariate models were run first restricted to those with complete data for all variables entered into the model and re-run in the final analysis for all individuals with complete data for variables selected in the final step-wise regression.

    Article Title: What a (Young) Woman Wants: Concurrent Effects of Desire to Avoid Pregnancy and Desire for Sex on Sexual Intercourse and Contraceptive Use
    Article Snippet: To answer the first question, I assess how the average pregnancy disinclination and desire for sex vary during the transition to adulthood using a kernel-weighted local polynomial smoothing plot (Stata command lowess ) ( ).

    Article Title: Occurrence and spread of influenza A(H1N1)pdm09 virus infection in Norwegian pig herds based on active serosurveillance from 2010 to 2014
    Article Snippet: Temporal trends* pig herds seroprevalence of influenza A(H1N1)pdm09 virus infection in Norway, stratified by five production classes from 1 January 2010 to 31 December 2014. (* Using Stata’s lowess smoothing plots to show running mean between positive herds and negative herds with date as the unit measure for cross-section of proportion of positive herds.)

    Article Title: Occurrence and spread of influenza A(H1N1)pdm09 virus infection in Norwegian pig herds based on active serosurveillance from 2010 to 2014
    Article Snippet: Temporal trends* of pig herd seroprevalence for influenza A(H1N1)pdm09 virus infection in Norway, stratified by top three pig-farming counties from 1 January 2010 to 31 December 2014. (* Using Stata’s lowess smoothing plots to show running mean between positive herds and negative herds.

    Generated:

    Article Title: Community-driven research on environmental sources of H. pylori infection in arctic Canada
    Article Snippet: .. The number of knots was chosen based on the visual assessment of the data and locations of the knots generated by STATA were checked by visual assessment of the lowess plot to ensure adequate placement. ..




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