Automated build.

.setup/latex/bib/bib.bib

@@ -184,6 +184,20 @@ @Article{Efron-1979b
   publisher = {Society for Industrial {\&} Applied Mathematics ({SIAM})},
 }
 
+@Article{Engel-1977,
+  author = {George L. Engel},
+  date = {1977-04},
+  journaltitle = {Science},
+  title = {The need for a new medical model: A challenge for biomedicine},
+  doi = {10.1126/science.847460},
+  issn = {1095-9203},
+  number = {4286},
+  pages = {129--136},
+  volume = {196},
+  abstract = {The dominant model of disease today is biomedical, and it leaves no room within tis framework for the social, psychological, and behavioral dimensions of illness. A biopsychosocial model is proposed that provides a blueprint for research, a framework for teaching, and a design for action in the real world of health care. },
+  publisher = {American Association for the Advancement of Science (AAAS)},
+}
+
 @Article{Hinkley-1977,
   author = {David V. Hinkley},
   date = {1977-08},
@@ -890,6 +904,34 @@ @Article{Stoffer-Wall-1991
   publisher = {Informa {UK} Limited},
 }
 
+@Article{Tibshirani-1996,
+  author = {Robert Tibshirani},
+  date = {1996-01},
+  journaltitle = {Journal of the Royal Statistical Society Series B: Statistical Methodology},
+  title = {Regression shrinkage and selection via the lasso},
+  doi = {10.1111/j.2517-6161.1996.tb02080.x},
+  issn = {1467-9868},
+  number = {1},
+  pages = {267--288},
+  volume = {58},
+  abstract = {We propose a new method for estimation in linear models. The ‘lasso’ minimizes the residual sum of squares subject to the sum of the absolute value of the coefficients being less than a constant. Because of the nature of this constraint it tends to produce some coefficients that are exactly 0 and hence gives interpretable models. Our simulation studies suggest that the lasso enjoys some of the favourable properties of both subset selection and ridge regression. It produces interpretable models like subset selection and exhibits the stability of ridge regression. There is also an interesting relationship with recent work in adaptive function estimation by Donoho and Johnstone. The lasso idea is quite general and can be applied in a variety of statistical models: extensions to generalized regression models and tree-based models are briefly described.},
+  publisher = {Oxford University Press (OUP)},
+}
+
+@Article{VonKorff-Simon-1996,
+  author = {Michael {Von Korff} and Gregory Simon},
+  date = {1996-06},
+  journaltitle = {British Journal of Psychiatry},
+  title = {The Relationship Between Pain and Depression},
+  doi = {10.1192/s0007125000298474},
+  issn = {1472-1465},
+  number = {S30},
+  pages = {101--108},
+  volume = {168},
+  abstract = {Empirical results from epidemiological studies on pain–depression comorbidity in primary care and population samples have shown that: (a) pain is as strongly associated with anxiety as with depressive disorders; (b) characteristics that most strongly predict depression are diffuseness of pain and the extent to which pain interferes with activities; (c) certain psychological symptoms (low energy, disturbed sleep, worry) are prominent among pain patients, while others (guilt, loneliness) are not; (d) depression and pain dysfunction are evident early in the natural history of pain, but dysfunction and distress are often transient; and (e) among initially dysfunctional pain patients whose dysfunction is chronic, depression levels do not improve but neither do they increase over time with chronicity alone. These results seem consistent with these mechanisms of pain–depression comorbidity; (1) a trait of susceptibility to both dysphoric physical symptoms (including pain) and psychological symptoms (including depression), and a state of somatosensory amplification in which psychological distress amplifies dysphoric physical sensations (including pain); (2) psychological illness and behavioural dysfunction being interrelated features of a maladaptive response to pain evident early in the natural history of the condition, and often resolving during an early recovery phase; (3) pain constituting a significant physical and psychological stressor that may induce or exacerbate psychological distress. Thus, pain and psychological illness should be viewed as having reciprocal psychological and behavioural effects involving both processes of illness expression and adaption, as well as pain having specific effects on emotional state and behavioural function.},
+  publisher = {Royal College of Psychiatrists},
+}
+
 @InBook{Arbuckle-1996,
   author = {James L. Arbuckle},
   booktitle = {Advanced structural equation modeling},
@@ -2903,6 +2945,20 @@ @Article{Taylor-MacKinnon-2012
   annotation = {mediation, mediation-bootstrap},
 }
 
+@Article{Tibshirani-2011,
+  author = {Robert Tibshirani},
+  date = {2011-04},
+  journaltitle = {Journal of the Royal Statistical Society Series B: Statistical Methodology},
+  title = {Regression shrinkage and selection via the lasso: A retrospective},
+  doi = {10.1111/j.1467-9868.2011.00771.x},
+  issn = {1467-9868},
+  number = {3},
+  pages = {273--282},
+  volume = {73},
+  abstract = {In the paper I give a brief review of the basic idea and some history and then discuss some developments since the original paper on regression shrinkage and selection via the lasso.},
+  publisher = {Oxford University Press (OUP)},
+}
+
 @Article{Tofighi-Kelley-2019,
   author = {Davood Tofighi and Ken Kelley},
   date = {2019-06},

.setup/latex/pdf/.gitignore

@@ -0,0 +1,5 @@
+*
+*/
+!*.pdf
+!.gitignore
+!bib.bib