01 |
Walker |
For drug-induced carcinogenesis, the observations are the hypothesis. Invited editorial for the Mini-Symposium on Cancer Pharmacoepidemiology |
Basic concepts |
Ann Epidemiol 2016; 26(11):749–750 |
02 |
Pinheiro et al. |
Challenges in evaluating cancer as a clinical outcome in postapproval studies of drug safety |
Basic concepts |
Ann Epidemiol 2016; 26(11):735–740 |
03 |
Friis et al. |
European Code against Cancer 4th edition: Medical exposures, including hormone therapy, and cancer |
Basic concepts |
Cancer Epidemiol 2015; 29 Suppl 1:S107–19 |
04 |
Rivera et al. |
Connections between pharmacoepidemiology and cancer biology: designing biologically relevant studies of cancer outcomes |
Exposure ascertainment |
Ann Epidemiol 2016; 26(11):741–745 |
05 |
Pottegård & Hallas |
New use of prescription drugs prior to a cancer diagnosis |
Reverse causation |
Pharmacoepidemiol Drug Saf 2017;26(2):223–227 |
06 |
Umar et al. |
Future directions in cancer prevention |
Cancer biology |
Nat Rev Cancer 2012; 12 (12): 835–848 |
07 |
Rothman |
Induction and latent periods |
Induction/latency |
Am J Epidemiol 1981; 114(2):253–9 |
08 |
Pottegård et al. |
Identification of associations between prescribed medications and cancer: a nationwide screening study |
Hypothesis generation |
EBioMedicine 2016;7:73–9 |
09 |
Lund et al. |
The active comparator, new user study design in pharmacoepidemiology: historical foundations and contemporary application |
The active comparator, new user design |
Curr Epidemiol Rep 2015; 2(4):221–228 |
10 |
Stürmer et al. |
Adjustments for unmeasured confounders in pharmacoepidemiological database studies using external information |
Advanced confounder adjustment |
Med Care 2007; 45(10 Supl 2):S158–98 |