📑 Ajout de la citation de l'article de Benjamini et Hochberg

Rnw/donnees-reelles.Rnw

@@ -198,7 +198,7 @@ p-values \emph{non ajustées}.
 \end{figure}
 
 Pour la suite de cette analyse, nous allons appliquer un ajustement des p-values
-pour les test multiples, nommément la correction de Benjamini-Hochberg.
+pour les test multiples, nommément la correction de \cite{benjaminiControllingFalseDiscovery1995}.
 
 << wide_data, echo = FALSE>>=
 pvalues_adj_dataframe_wide <- pvalues_adj_dataframe %>% 

references.bib

@@ -45,6 +45,24 @@
   file = {/home/polarolouis/Zotero/storage/M9LQ4D3S/Bel et al. - Le Modèle Linéaire et ses Extensions.pdf}
 }
 
+@article{benjaminiControllingFalseDiscovery1995,
+  title = {Controlling the {{False Discovery Rate}}: {{A Practical}} and {{Powerful Approach}} to {{Multiple Testing}}},
+  shorttitle = {Controlling the {{False Discovery Rate}}},
+  author = {Benjamini, Yoav and Hochberg, Yosef},
+  date = {1995},
+  journaltitle = {Journal of the Royal Statistical Society. Series B (Methodological)},
+  volume = {57},
+  number = {1},
+  eprint = {2346101},
+  eprinttype = {jstor},
+  pages = {289--300},
+  publisher = {[Royal Statistical Society, Wiley]},
+  issn = {0035-9246},
+  url = {https://www.jstor.org/stable/2346101},
+  urldate = {2024-03-17},
+  abstract = {The common approach to the multiplicity problem calls for controlling the familywise error rate (FWER). This approach, though, has faults, and we point out a few. A different approach to problems of multiple significance testing is presented. It calls for controlling the expected proportion of falsely rejected hypotheses-the false discovery rate. This error rate is equivalent to the FWER when all hypotheses are true but is smaller otherwise. Therefore, in problems where the control of the false discovery rate rather than that of the FWER is desired, there is potential for a gain in power. A simple sequential Bonferroni-type procedure is proved to control the false discovery rate for independent test statistics, and a simulation study shows that the gain in power is substantial. The use of the new procedure and the appropriateness of the criterion are illustrated with examples.}
+}
+
 @online{BgeeGeneExpression,
   title = {Bgee: Gene Expression Data in Animals},
   shorttitle = {Bgee},