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Discussions often reference the comparison of the two modeling approaches, with phrases like 'robust Poisson remains unbiased,' and mention practical scenarios such as data truncation and model bias, reflecting a moderate level of technical engagement and interest in the article's methodological insights.
Most discussions acknowledge the validity of the study, recognizing the robustness of the Poisson model under misspecification.
Participants show moderate curiosity, often referencing the comparison of regression models and their practical implications.
Comments involve some technical details, such as mentions of bias, truncation, and model assumptions, indicating a moderate level of engagement.
The overall tone suggests awareness of the study's relevance but without strong claims about transformative impact on the field.
Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification | BMC Medical Research Methodology | Full Text https://t.co/mdQBEvdtrY
RR推定時にモデルの誤特定下での修正ポアソン回帰と対数二項回帰の比較。収束の問題もあるし、基本的には修正ポアソンでよいと思っているんだけど、どうなんだろう。 https://t.co/6lZfGjoPBf
RT @kaz_yos: Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspec…
RT @kaz_yos: Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspec…
RT @kaz_yos: Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspec…
RT @kaz_yos: Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspec…
This study compares the performance of log-binomial and robust Poisson regression models in estimating risk ratios, especially when model assumptions are misspecified. The robust Poisson model remains unbiased under…
RR推定時にモデルの誤特定下での修正ポアソン回帰と対数二項回帰の比較。収束の問題もあるし、基本的には修正ポアソンでよいと思っているんだけど、どうなんだろう。 https://t.co/6lZfGjoPBf
RT @kaz_yos: Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspec…
RT @kaz_yos: Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspec…
RT @kaz_yos: Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspec…
RT @kaz_yos: Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspec…
Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification | BMC Medical Research Methodology | Full Text https://t.co/mdQBEvdtrY
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