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sdhs 2020 data  (STATA Corporation)


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    STATA Corporation sdhs 2020 data
    Sdhs 2020 Data, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 35439 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/stata+16+0/STATA+16%2E0/pmc12794245-210-1-7
    Average 99 stars, based on 35439 article reviews
    sdhs 2020 data - by Bioz Stars, 2026-10
    99/100 stars

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    Article Title: Cannabis Use Among Ugandan Medical Students: Prevalence, Predictors, and Coping Strategies in a Cross-Sectional Study.
    Article Snippet: Data were exported from Google Forms to Excel, cleaned, and analyzed in Stata 16.0.

    Article Title: Cyclic alternating pattern in sleep electroencephalography as a novel predictor of dementia: A prospective study
    Article Snippet: To further elucidate the determinants of dementia risk, we applied SHapley Additive exPlanation (SHAP) values to understand and visualize the importance of predictive features in the optimal model. STATA 16.0 and Anaconda python 3 version 3.8 were used for statistical analysis and computing.

    Article Title: Cyclic alternating pattern in sleep electroencephalography as a novel predictor of dementia: A prospective study.
    Article Snippet: To further elucidate the determinants of dementia risk, we appliedSHapleyAdditive exPlanation (SHAP) values tounderstandand visualize the importance of predictive features in the optimal model. STATA 16.0 and Anaconda python 3 version 3.8 were used for statistical analysis and computing.

    Article Title: Assessing the Impact of Social and Psychological Factors on Consumers' Willingness to Pay for Low-Carbon Beef: Evidence from Urban China.
    Article Snippet: The probabilities of four possible response patterns can be expressed as follows: Pr(dyyi = 1|xi) = Pr(WTPi ≥ BiH) = 1 − Φ ( BiH − xiβ σ ) (2) Pr(dyni = 1|xi) = Pr(Bio ≤ WTPi < BiH) = Φ ( BiH − xiβ σ ) − Φ ( BiO − xiβ σ ) (3) Pr(dnyi = 1|xi) = Pr(BiL ≤ WTPi < BiO) = Φ ( BiO − xiβ σ ) − Φ ( BiL − xiβ σ ) (4) Pr(dnni = 1|xi) = Pr(WTPi < BiL) = Φ ( BiL − xiβ σ ) (5) where β and σ can be estimated by maximizing the log-likelihood function: ln L(β, σ) = ∑Ni=1 { dyyi ln [ 1 − Φ( BiH − xi β σ ) ] + dyni ln [ Φ ( BiH − xi β σ ) − Φ ( BiO − xi β σ )] + dnyi ln [ Φ ( BiO − xi β σ ) − Φ ( BiL − xi β σ )] + dnni ln [ Φ ( BiL − xi β σ )]} (6) The model was implemented using the doubleb command in Stata 16.0.


    Article Title: Decompression alone versus decompression with fusion in the treatment of lumbar degenerative spondylolisthesis: evaluating the overlapping meta-analyses
    Article Snippet: Cheng HY (2024) [ ] , RCT and Cohort study , Level II , STATA 16.0 , Yes , No , No , Yes , Yes.

    Article Title: Can urban renewal improve the self-assessed health of older adults? Evidence from China.
    Article Snippet: The above analysis was all carried out using Stata 16.0 [54].

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