ADD regression tables for DOE
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% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
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% Date and time: Thu, Jul 29, 2021 - 12:14:17 PM
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\begin{tabular}{@{\extracolsep{5pt}}lc}
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\\[-1.8ex]\hline
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\hline \\[-1.8ex]
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& \multicolumn{1}{c}{\textit{Dependent variable:}} \\
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\cline{2-2}
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\\[-1.8ex] & CD4+ Cells \\
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\hline \\[-1.8ex]
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Dataset [2] & 1,271,171.000$^{**}$ \\
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Functional mAb \% & 44,896.500$^{***}$ \\
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IL2 Conc. (IU/ml) & 86,177.710$^{***}$ \\
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DMS Conc. (1/ml) & 1,742.752$^{***}$ \\
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Intercept & $-$5,344,494.000$^{***}$ \\
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\hline \\[-1.8ex]
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Observations & 30 \\
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R$^{2}$ & 0.888 \\
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Adjusted R$^{2}$ & 0.870 \\
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Residual Std. Error & 727,042.800 (df = 25) \\
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F Statistic & 49.454$^{***}$ (df = 4; 25) \\
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\hline
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\hline \\[-1.8ex]
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\textit{Note:} & \multicolumn{1}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\
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\end{tabular}
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% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
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% Date and time: Thu, Jul 29, 2021 - 12:14:08 PM
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\begin{tabular}{@{\extracolsep{5pt}}lc}
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\\[-1.8ex]\hline
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\hline \\[-1.8ex]
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& \multicolumn{1}{c}{\textit{Dependent variable:}} \\
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\cline{2-2}
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\\[-1.8ex] & CD62L+CCR7+ Cells \\
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\hline \\[-1.8ex]
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Dataset [2] & 4,661,754.000$^{*}$ \\
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Functional mAb \% & 72,218.190 \\
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IL2 Conc. (IU/ml) & 306,486.100$^{***}$ \\
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DMS Conc. (1/ml) & 240.038 \\
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Intercept & $-$3,478,851.000 \\
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\hline \\[-1.8ex]
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Observations & 30 \\
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R$^{2}$ & 0.331 \\
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Adjusted R$^{2}$ & 0.224 \\
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Residual Std. Error & 3,659,501.000 (df = 25) \\
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F Statistic & 3.096$^{**}$ (df = 4; 25) \\
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\hline
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\hline \\[-1.8ex]
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\textit{Note:} & \multicolumn{1}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\
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\end{tabular}
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% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
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% Date and time: Thu, Jul 29, 2021 - 12:14:14 PM
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\begin{tabular}{@{\extracolsep{5pt}}lc}
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\\[-1.8ex]\hline
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\hline \\[-1.8ex]
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& \multicolumn{1}{c}{\textit{Dependent variable:}} \\
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\cline{2-2}
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\\[-1.8ex] & log(CD62L+CCR7+ Cells) \\
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\hline \\[-1.8ex]
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Dataset [2] & 0.269 \\
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Functional mAb \% & 2.408$^{*}$ \\
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(Functional mAb \%)**2 & 0.443$^{*}$ \\
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IL2 Conc. (IU/ml) & 6.054$^{*}$ \\
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(IL2 Conc. (IU/ml))**2 & $-$0.730$^{**}$ \\
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DMS Conc. (1/ml) & 7.437$^{**}$ \\
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(DMS Conc. (1/ml))**2 & $-$0.486$^{*}$ \\
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(Functional mAb \%)*(IL2 Conc. (IU/ml)) & $-$0.001 \\
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(Functional mAb \%)*(DMS Conc. (1/ml)) & $-$0.00001$^{*}$ \\
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(IL2 Conc. (IU/ml)*(DMS Conc. (1/ml)) & $-$0.0001$^{*}$ \\
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(Functional mAb \%)*(IL2 Conc. (IU/ml)*(DMS Conc. (1/ml)) & 0.00000$^{*}$ \\
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Intercept & 20.899$^{***}$ \\
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\hline \\[-1.8ex]
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Observations & 30 \\
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R$^{2}$ & 0.741 \\
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Adjusted R$^{2}$ & 0.583 \\
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Residual Std. Error & 0.228 (df = 18) \\
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F Statistic & 4.693$^{***}$ (df = 11; 18) \\
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\hline
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\hline \\[-1.8ex]
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\textit{Note:} & \multicolumn{1}{r}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\
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\end{tabular}
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@ -2022,7 +2022,23 @@ provide these benefits.
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\label{fig:doe_responses}
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\label{fig:doe_responses}
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\end{figure*}
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\end{figure*}
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% TABLE DOE regression results
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\begin{table}[!h] \centering
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\caption{Total CD62L+CCR7+ T cell response (first order regression)}
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\label{tab:doe_mem1.tex}
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\input{../tables/doe_mem1.tex}
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\end{table}
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\begin{table}[!h] \centering
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\caption{Total CD62L+CCR7+ T cell response (third order regression)}
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\label{tab:doe_mem2.tex}
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\input{../tables/doe_mem2.tex}
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\end{table}
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\begin{table}[!h] \centering
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\caption{Total CD4+ T cell response}
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\label{tab:doe_cd4.tex}
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\input{../tables/doe_cd4.tex}
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\end{table}
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% TODO this section header sucks
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% TODO this section header sucks
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\subsection{AI modeling reveals highly predictive species}
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\subsection{AI modeling reveals highly predictive species}
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