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heteroskedasticity  (STATA Corporation)


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    STATA Corporation heteroskedasticity
    Heteroskedasticity, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 35538 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/heteroskedasticity/STATA+16%2E0/10__1002_slash_mar__22093-193-8-12
    Average 99 stars, based on 35538 article reviews
    heteroskedasticity - by Bioz Stars, 2026-10
    99/100 stars

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    other:

    Article Title: Financial Incentives and Physician Practice Participation in Medicare's Value‐Based Reforms
    Article Snippet: We specified Huber–White standard errors to be robust to heteroskedasticity and performed all analyses using Stata 14.0 (StataCorp LLC, College Station, TX, USA).

    Article Title: Impact of Climate Variability on Rice Productivity in Pakistan
    Article Snippet: Wald test for heteroskedasticity Using STATA 12, the Wald test for heteroskedasticity was performed, giving the following ndings. chi2 (4) = 41.82 Prob > chi2 = 0.0000 The presence of a very signi cant value indicates that the data set has an issue with heteroscedasticity.

    Article Title: Non-linear increase of respiratory diseases and their costs under severe air pollution.
    Article Snippet: China is experiencing severe and persistent air pollution, with concentrations of fine particulate matters (PM2.5) reaching unprecedentedly high levels in many cities.. Quantifying the detrimental effects on health and their costs derived from high PM2.5 levels is crucial because of the unsolved challenges to mitigate air pollution in the following decades.. Using the daily monitoring data on PM2.5 concentrations and clinic visits, we found a non-linear increase of respiratory diseases, but not for other diseases (e.g., digestive diseases) under severe air pollution.

    Article Title: Impact of External Environmental Dimensions on Financial Performance of Major Teaching Hospitals in the U.S.
    Article Snippet: Additionally, since STATA-14 assumes homoskedastic standard errors by default, the two models were adjusted to account for heteroskedasticity, by using the option of robust in STATA-14 [ ] after the Breusch–Pagan/Cook–Weisberg test for heteroskedasticity detected heteroskedasticity in both regression models [ ].

    Article Title: Shifting public opinion on climate change: an empirical assessment of factors influencing concern over climate change in the U.S., 2002–2010
    Article Snippet: This type of volatility lends credence to the independence of media effects across quarters.8 To estimate changes in the CCTI, we used time-series regression with robust standard errors corrected for unspecified heteroskedasticity using White’s (1981) correction in Stata 12.

    Software:

    Article Title: PM 2.5 pollution is substantially affected by ammonia emissions in China.
    Article Snippet: .. Contemporaneous correlation, heteroskedasticity and serial correlation are controlled to calculate asymptotically efficient parameters with Prais-Winsten regression in the statistical software package STATA12 (http://www.stata.com/ stata12/). ..

    Control:

    Article Title: The effect of mobile reviewing on review helpfulness: The moderation of review solicitation and reviewer popularity
    Article Snippet: Funding information National Natural Science Foundation of China (NSFC), Grant/Award Numbers: 71902044, 72102230; Ministry of Education planning projects of China, Grant/Award Number: 23YJA630040; Ministry of Education, Humanities and Social Sciences, Grant/Award Number: 21YJA630126; Sichuan Provincial Department of Science and Technology, Grant/Award Number: 2023JDR0152 Abstract Consumers increasingly read and post online reviews through mobile devices.. Drawing upon the motivation, opportunity, and ability framework, we hypothesize the interesting interplay of mobile reviewing, firm review solicitation and reviewer popularity on review helpfulness.. Using a large‐scale data set of 1,024,062 reviews from TripAdvisor, we reveal the double‐edged sword effect of mobile reviewing on review helpfulness.



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